Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=900
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=1000", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=800", "results": [ { "ob_id": 7731, "uuid": "9a747f9131f45f538c8752dbfe36eb00", "title": "NAMBLEX: Flight GPS Position Data for the NERC DO228-101 D-CALM Aircraft", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of the GPS position data for the NERC DO228-101 D-CALM Aircraft. Flights took place on the 8th, 10th and 12th August 2002.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-01-12T14:40:01", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained by the NERC DO228-101 D-CALM Aircraft crew in August 2002. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.", "removedDataReason": "", "keywords": "NAMBLEX, Atmospheric Chemistry, Airborne Atmospheric Measurements", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-01T19:44:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 698, "bboxName": "NAMBLEX D-CALM FLIGHTS", "eastBoundLongitude": -8.7048948, "westBoundLongitude": -15.7065132, "southBoundLatitude": 52.8530777, "northBoundLatitude": 53.8310442 }, "verticalExtent": null, "result_field": { "ob_id": 12929, "dataPath": "/badc/namblex/data/dcalm-gps-position/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2564077, "numberOfFiles": 4, "fileFormat": "Data are NASA-Ames 1001 formatted" }, "timePeriod": { "ob_id": 3482, "startTime": "2002-08-07T23:00:00", "endTime": "2002-08-12T22:59:59" }, "resultQuality": { "ob_id": 2093, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7734, "uuid": "c9aca8f2297a41b2b231fe50ed4faa0e", "short_code": "acq", "title": "Acquisition Process for: NAMBLEX: GPS position data for the NERC DO228-101 D-CALM Aircraft during flights", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: D-CALM: Aircraft GPS position device; PLATFORMS: NERC DO228-101 - D-CALM Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7595, "uuid": "95399189cbbb8739dd3b3cbebe1773f6", "short_code": "proj", "title": "North Atlantic Marine Boundary Layer EXperiment (NAMBLEX)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 41999 ], "vocabularyKeywords": [], "identifier_set": [ 4996 ], "observationcollection_set": [ { "ob_id": 7592, "uuid": "21ef611e1d3e4f261cae9d22f019b796", "short_code": "coll", "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment dataset collection: chemical and meteorological atmospheric measurements", "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 32070, 32073, 32074, 32075, 32077, 32076, 32071, 32072, 45356, 45357 ], "onlineresource_set": [] }, { "ob_id": 7735, "uuid": "f9d3bcebe84cfb4ef8dbac14a9fecca0", "title": "NAMBLEX: Airborne Atmospheric Chemistry Samples Data from the D-CALM Canister Sampler on-board the NERC DO228-101 D-CALM Aircraft", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX) campaign was conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. During this campaign a suite of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). This dataset consists of airborne atmospheric chemistry samples from the D-CALM Canister Sampler on-board the NERC DO228-101 D-CALM Aircraft. Flights took place on the 8th and 10th August 2002.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T12:18:34", "updateFrequency": "notPlanned", "dataLineage": "Data were obtained by the NERC DO228-101 D-CALM Aircraft crew in August 2002. Data provided as is by the NAMBLEX campaign participants to the BADC for archiving.", "removedDataReason": "", "keywords": "NAMBLEX, Atmospheric Chemistry, Airborne Atmospheric Measurements", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-03-01T19:44:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 698, "bboxName": "NAMBLEX D-CALM FLIGHTS", "eastBoundLongitude": -8.7048948, "westBoundLongitude": -15.7065132, "southBoundLatitude": 52.8530777, "northBoundLatitude": 53.8310442 }, "verticalExtent": null, "result_field": { "ob_id": 7736, "dataPath": "/badc/namblex/data/dcalm-canister-sampler/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 11961, "numberOfFiles": 3, "fileFormat": "Data are NASA-Ames 1001 formatted" }, "timePeriod": { "ob_id": 3486, "startTime": "2002-08-07T23:00:00", "endTime": "2002-08-10T22:59:59" }, "resultQuality": { "ob_id": 2094, "explanation": "Research data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7737, "uuid": "69c5760d55d84ca6bd53a73e46a272bf", "short_code": "acq", "title": "Acquisition Process for: NAMBLEX: Airborne Atmospheric Chemistry Samples Data from the D-CALM Canister Sampler on-board the NERC DO228-101 D-CALM Aircraft", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: D-CALM: Canister Sampler; PLATFORMS: NERC DO228-101 D-CALM Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2528, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 8, "licenceURL": "http://creativecommons.org/licenses/by/4.0/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7595, "uuid": "95399189cbbb8739dd3b3cbebe1773f6", "short_code": "proj", "title": "North Atlantic Marine Boundary Layer EXperiment (NAMBLEX)", "abstract": "The North Atlantic Marine Boundary Layer Experiment (NAMBLEX), involving over 50 scientists from 12 institutions, took place at Mace Head, Ireland (53.32° N, 9.90° W), between 23 July and 4 September 2002. The aims of the campaign were to study the oxidation processes, atmospheric chemistry and composition of a number of species primarily in the Marine Boundary Layer. Campaign objectives were: to test quantitatively our basic understanding of oxidation processes in clean and moderately polluted air using observed correlations and comparisons of measured and model-predicted behaviour; to study extensively the chemistry of halogen species in the marine boundary layer through observation of reactive intermediates and their sources and sinks; to study the reactive nitrogen budget over the Atlantic Ocean; to examine the origins and role of reactive hydrocarbons in the MBL, and carbon budget reconciliation using comprehensive chromatography; and to investigate the size-distributed composition, internal mixing and Cloud Condensation Nucleus (CCN) activity of aerosols and the processes involved in new particle creation. A wide range of state-of-the-art instrumentation, developed using NERC and JIF funding, enabled detailed measurements of the boundary layer structure and atmospheric composition in the gas and aerosol phase to be made, providing one of the most comprehensive in situ studies of the marine boundary layer up to the time of the campaign. Measurements of some trace species were made for the first time during the campaign, which was characterised by predominantly clean air of marine origin, but more polluted air with higher levels of NOx originating from continental regions was also experienced. NAMBLEX was supported by measurements made in the vicinity of Mace Head using the NERC Dornier-228 aircraft and boundary layer wind profiles from the University of Wales, Aberystwyth mobile wind profiler. Participating institutions included the Universities of Leeds, York, East Anglia, Leicester, Birmingham, Bristol, Edinburgh, UMIST, Lancaster and Cambridge." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 1331, 1332, 1333, 1334, 1337, 1339, 1612, 1615, 1616, 3881, 3911, 11479, 11480, 21971 ], "vocabularyKeywords": [], "identifier_set": [ 4999 ], "observationcollection_set": [ { "ob_id": 7592, "uuid": "21ef611e1d3e4f261cae9d22f019b796", "short_code": "coll", "title": "NAMBLEX - North Atlantic Marine Boundary Layer EXperiment dataset collection: chemical and meteorological atmospheric measurements", "abstract": "The North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) campaign was an atmospheric composition campaign conducted at Mace Head in Ireland from 24 July 2002 to 3 September 2002. The data consist of chemical and meteorological atmospheric measurements, model data and trajectories from a number of instruments, including several from the Universities Facility for Atmospheric Measurements (UFAM). The chemical species measured includes: O3, CO, H2, DMS, CH4, NMHC, NOx, NOy, PAN, VOCs, HCHO, peroxides, organo-halogenated species, a range of shorter lived halogen species (I2, OIO, IO, BrO), NO3 radicals, photolysis frequencies, and the free radicals OH, HO2 and (HO2 + Σ RO2). The BADC is the primary archiving and distribution data centre for NAMBLEX." } ], "responsiblepartyinfo_set": [ 32081, 32080, 32084, 32085, 32087, 32086, 32083, 32082, 45354, 45355 ], "onlineresource_set": [] }, { "ob_id": 7739, "uuid": "76f82001334afceadfe0df6e1544d75d", "title": "British Antarctic Survey Automatic Weather Station (AWS) data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011)", "abstract": "Ground-based meteorological data from Automatic weather stations (AWS) were collected to observe the atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011). These AWS were located on the Avery Plateau, Cole Peninsula and North Adelaide Island.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-06-09T10:20:12", "updateFrequency": "notPlanned", "dataLineage": "Data were collected and prepared by the British Antarctic Survey Automatic Weather Station team before submission to the BADC for archiving.", "removedDataReason": "", "keywords": "BAS, meteorology, Antarctic, OFCAP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-19T11:29:33", "doiPublishedTime": "2014-09-23T23:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 168, "bboxName": "", "eastBoundLongitude": -63.81, "westBoundLongitude": -67.73, "southBoundLatitude": -68.88, "northBoundLatitude": -66.65 }, "verticalExtent": null, "result_field": { "ob_id": 7740, "dataPath": "/badc/ofcap/data/aws", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12205185, "numberOfFiles": 4, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\nAWS Data supplied to the BADC by the OFCAP project are stored in the <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/ofcap/data/aws\">OFCAP AWS data archive </a> at the BADC. Data are publicly available but users of the data are requested to acknowledge the data providers and use the citation below</p>\n\n<p>Files are available in <a href=\"http://badc.nerc.ac.uk/help/formats/NASA-Ames/\">NASA Ames ASCII format</a>\n</p>\n<p>BAS MASIN aircraft data and BAS radiosonde data from OFCAP are also available in <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/ofcap/data/\">OFCAP data archive</a>.\n</p>\n\n\n</div>\n\n\n\n\n" }, "timePeriod": { "ob_id": 2233, "startTime": "2011-01-01T00:00:00", "endTime": "2012-01-01T00:00:00" }, "resultQuality": { "ob_id": 2095, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7744, "uuid": "18fb0b68ae874597994aeb1b4c75710d", "short_code": "acq", "title": "Acquisition Process for: British Antarctic Survey Automatic Weather Station (AWS) data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011)", "abstract": "This acquisition is comprised of the following: PLATFORMS: Cole Peninsula, Adelaide Island, Avery Plateau; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 27 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7574, "uuid": "81c36735b0f588113c55838cf365e31b", "short_code": "proj", "title": "OFCAP Orographic Flows and the Climate of the Antarctic Peninsula project (OFCAP)", "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data were collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. The Antarctic Peninsula is currently one of the most rapidly warming regions on Earth. Large environmental changes have occurred as a result of this warming, most notably the retreat and rapid disintegration of some of the floating ice shelves that fringe the Peninsula. Subsequent to the loss of ice shelves, glaciers draining the Peninsula ice sheet have accelerated, contributing to global sea level rise. The forces driving this rapid regional warming are not fully understood, but analysis of limited climatiological data from the region suggests a link between rapid summer warming on the eastern side of the Peninsula and an increase in the strength of the prevailing westerly winds. The strengthening of the westerlies has already been attributed, with some degree of confidence, to atmospheric circulation changes associated with anthropogenic forcing, particularly stratospheric ozone depletion and increases in greenhouse gases. It is thus highly probable that anthropogenic forcing is contributing to the rapid warming of the Peninsula.\r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52353 ], "vocabularyKeywords": [], "identifier_set": [ 5003, 5004 ], "observationcollection_set": [ { "ob_id": 7738, "uuid": "5a2083554c037d47a87b8e46f0f48dba", "short_code": "coll", "title": "Ground-based, radiosonde and aircraft data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project", "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. \r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)" } ], "responsiblepartyinfo_set": [ 32096, 32098, 32099, 32100, 42625, 42629, 46798, 32097, 42627, 42626, 42628 ], "onlineresource_set": [ 3587, 87771, 94695, 94696, 94697, 94698 ] }, { "ob_id": 7745, "uuid": "bd82fd9f9dc366f75406e4cc64de7f58", "title": "British Antarctic Survey Twin Otter aircraft Meteorological Airborne Science INstrumentation (MASIN) core data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011)", "abstract": "Meteorological data measured by the Meteorological Airborne Science INstrumentation (MASIN) onboard the British Antarctic Survey Twin Otter aircraft in the region of 67 degrees South on the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T03:20:32", "updateFrequency": "notPlanned", "dataLineage": "Data were collected and prepared by the British Antarctic Survey Twin Otter aircraft team before submission to the BADC for archiving.", "removedDataReason": "", "keywords": "BAS", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-06-19T13:27:14", "doiPublishedTime": "2014-09-23T23:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 169, "bboxName": "", "eastBoundLongitude": -60.0, "westBoundLongitude": -70.0, "southBoundLatitude": -70.0, "northBoundLatitude": -60.0 }, "verticalExtent": null, "result_field": { "ob_id": 7746, "dataPath": "/badc/ofcap/data/twinotter", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2595929783, "numberOfFiles": 47, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\nMASIN Core data from 24 flights supplied to the BADC by the OFCAP project are stored in the <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/ofcap/data/twinotter\">OFCAP Twin Otter data archive </a> at the BADC. Data are publicly available but users of the data are requested to acknowledge the data providers and use the citation below</p>\n\n<p>Files are available in <a href=\"http://badc.nerc.ac.uk/help/formats/netcdf/\">netCDF format</a>. \n</p></div>\n\n\n\n\n" }, "timePeriod": { "ob_id": 2234, "startTime": "2011-01-11T00:00:00", "endTime": "2011-02-06T00:00:00" }, "resultQuality": { "ob_id": 2096, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7748, "uuid": "fe1474662195455f8c500436f4c0339b", "short_code": "acq", "title": "Acquisition Process for: British Antarctic Survey Twin Otter aircraft Meteorological Airborne Science INstrumentation (MASIN) core data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (2011)", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: BAS Masin Twin-Otter Core instruments; PLATFORMS: BAS Masin Twin-Otter aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7574, "uuid": "81c36735b0f588113c55838cf365e31b", "short_code": "proj", "title": "OFCAP Orographic Flows and the Climate of the Antarctic Peninsula project (OFCAP)", "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data were collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. The Antarctic Peninsula is currently one of the most rapidly warming regions on Earth. Large environmental changes have occurred as a result of this warming, most notably the retreat and rapid disintegration of some of the floating ice shelves that fringe the Peninsula. Subsequent to the loss of ice shelves, glaciers draining the Peninsula ice sheet have accelerated, contributing to global sea level rise. The forces driving this rapid regional warming are not fully understood, but analysis of limited climatiological data from the region suggests a link between rapid summer warming on the eastern side of the Peninsula and an increase in the strength of the prevailing westerly winds. The strengthening of the westerlies has already been attributed, with some degree of confidence, to atmospheric circulation changes associated with anthropogenic forcing, particularly stratospheric ozone depletion and increases in greenhouse gases. It is thus highly probable that anthropogenic forcing is contributing to the rapid warming of the Peninsula.\r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 65713, 65714, 65715, 65716, 65717, 65718, 65735, 65736, 65737, 65738, 65739, 65740, 65749, 65750, 65751, 65752, 65753, 65754, 65761, 65774, 65775, 65776, 65777, 65778, 65779, 65780, 65781, 65782, 65783, 65784, 65785, 65788, 65789, 65790, 65791, 65792, 65793, 65794, 65795, 65796, 65797, 65798, 65799, 65800, 65801, 65802, 65803, 65804, 65805, 65898, 65899, 65900, 65901, 65902, 65903, 65904, 65905, 65906, 65907, 65908, 65909, 65910, 65911, 65912, 65913, 65914, 65915, 65916, 65917, 65918, 65919, 65920, 65921 ], "vocabularyKeywords": [], "identifier_set": [ 5011, 5012 ], "observationcollection_set": [ { "ob_id": 7738, "uuid": "5a2083554c037d47a87b8e46f0f48dba", "short_code": "coll", "title": "Ground-based, radiosonde and aircraft data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project", "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. \r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)" }, { "ob_id": 7571, "uuid": "8be3dd7cdf44090d89aeb8f105421506", "short_code": "coll", "title": "BAS Masin Twin-Otter aircraft data", "abstract": "Data is collected on board the British Antarctic Survey MASIN Twin Otter aircraft for a range of projects in the Antarctic and at other locations. These projects include atmospheric, boundary layer and cloud/aerosol studies.\r\n\r\n\r\nThe instrument suite includes standard temperature and water vapour sensors as well as a turbulence probe allowing full atmospheric profile measurements of temperature, dew point and winds. A DMT Cloud and aerosol spectrometer (CAPS) probe is used for cloud studies and a closed path Licor H2O/CO2 instrument, Grimm optical particle counter and cloud condensation nuclei counter are fed from simple Rosemount inlets." } ], "responsiblepartyinfo_set": [ 32108, 32110, 32111, 32112, 44976, 46797, 32107, 32109, 44977, 45341, 44983, 44978, 44979, 44984 ], "onlineresource_set": [ 3589, 3590, 94854, 94855 ] }, { "ob_id": 7749, "uuid": "94962db34935a9301c9669d9539090d3", "title": "Radiosonde data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (January 2011)", "abstract": "Radiosonde data measured using balloon-borne radiosondes released from the Larsen Ice Shelf Camp and Rothera Base on the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project in January 2011.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-23T14:39:33", "updateFrequency": "notPlanned", "dataLineage": "Not defined.", "removedDataReason": "", "keywords": "BAS, radiosonde, Antarctic, OFCAP", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-19T12:04:27", "doiPublishedTime": "2014-09-23T23:00:00", "removedDataTime": null, "geographicExtent": { "ob_id": 170, "bboxName": "", "eastBoundLongitude": -61.48, "westBoundLongitude": -68.13, "southBoundLatitude": -67.57, "northBoundLatitude": -67.01 }, "verticalExtent": null, "result_field": { "ob_id": 7750, "dataPath": "/badc/ofcap/data/radiosonde", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 33826093, "numberOfFiles": 144, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\nRadiosonde data supplied to the BADC by the OFCAP project are stored in the <a href=\"http://badc.nerc.ac.uk/cgi-bin/data_browser/data_browser/badc/ofcap/data/radiosonde\">OFCAP radiosonde data archive </a> at the BADC. Data are publicly available but users of the data are requested to acknowledge the data providers and use the citation below</p>\n\n<p>Files are available in a standard radiosonde text format (.tsv), standard radiosonde binary format (.edt) and <a href=\"http://badc.nerc.ac.uk/help/formats/NASA-Ames/\">NASA Ames ASCII format</a>. \n</p></div>\n\n\n\n\n" }, "timePeriod": { "ob_id": 2235, "startTime": "2011-01-01T00:00:00", "endTime": "2011-02-06T00:00:00" }, "resultQuality": { "ob_id": 2097, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-24" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7752, "uuid": "5e3d42b79dba42eb9cd82def2e450dfb", "short_code": "acq", "title": "Acquisition Process for: Radiosonde data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project (January 2011)", "abstract": "This acquisition is comprised of the following: PLATFORMS: Larsen Ice Shelf Camp, British Antarctic Survey's Rothera Station; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 27 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7574, "uuid": "81c36735b0f588113c55838cf365e31b", "short_code": "proj", "title": "OFCAP Orographic Flows and the Climate of the Antarctic Peninsula project (OFCAP)", "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data were collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. The Antarctic Peninsula is currently one of the most rapidly warming regions on Earth. Large environmental changes have occurred as a result of this warming, most notably the retreat and rapid disintegration of some of the floating ice shelves that fringe the Peninsula. Subsequent to the loss of ice shelves, glaciers draining the Peninsula ice sheet have accelerated, contributing to global sea level rise. The forces driving this rapid regional warming are not fully understood, but analysis of limited climatiological data from the region suggests a link between rapid summer warming on the eastern side of the Peninsula and an increase in the strength of the prevailing westerly winds. The strengthening of the westerlies has already been attributed, with some degree of confidence, to atmospheric circulation changes associated with anthropogenic forcing, particularly stratospheric ozone depletion and increases in greenhouse gases. It is thus highly probable that anthropogenic forcing is contributing to the rapid warming of the Peninsula.\r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 53451 ], "vocabularyKeywords": [], "identifier_set": [ 5015, 5016 ], "observationcollection_set": [ { "ob_id": 7738, "uuid": "5a2083554c037d47a87b8e46f0f48dba", "short_code": "coll", "title": "Ground-based, radiosonde and aircraft data from the Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project", "abstract": "Ground-based Automatic weather station (AWS), Radiosonde and British Antarctic Survey (BAS) Masin twin-otter aircraft data collected on and around the Antarctic Peninsula during the NERC-funded Orographic Flows and the Climate of the Antarctic Peninsula (OFCAP) project. \r\n\r\nThe OFCAP project conducted an integrated programme of field observations, analysis and modelling aimed at understanding of how the westerly winds interact with the mountains of the Antarctic Peninsula and how those interactions control the climate of the eastern side of the Peninsula. This dataset comprises of data from the month-long intensive field campaign which took place in January 2011. During this period, atmospheric flow along a transect across the Antarctic Peninsula mountains around 67 degrees south was observed using the British Antarctic Survey (BAS) MASIN- Twin-otter instrumented aircraft and automatic weather stations at Avery Plateau, Cole Peninsula and North Adelaide Island along the line of the transect. Atmospheric conditions on the upwind (western) and downwind (eastern) sides of the mountains were measured using balloon-borne radiosondes were released from the Larsen Ice shelf camp and Rothera base. These observations were then analysed in conjunction with the results of high-resolution atmospheric model simulations in order to obtain a more complete picture of the flow across the Peninsula.\r\n\r\nOFCAP was funded by the Natural Environment Research Council (NERC) for three years from Sept 2009 (NERC Reference: NE/G014124/1)" } ], "responsiblepartyinfo_set": [ 32116, 32115, 32118, 32119, 32120, 44972, 46796, 32117, 44974, 44975, 44973 ], "onlineresource_set": [ 3593, 94856, 94857 ] }, { "ob_id": 7754, "uuid": "baf388a492b8570e5cf18618e34f11df", "title": "HIRDLS: Level 0 atmospheric chemical and temperature measurements", "abstract": "HIRDLS was a mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provided sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS).\r\n\r\nThis dataset contains level 0 data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2020-05-29T21:37:12", "updateFrequency": "notPlanned", "dataLineage": "Data received by the ground station, was processed at the HIRDLS Science Investigator-led University of Boulder Science Processing Suite (SIPS) before being archived at the Goddard Earth Sciences Data and informations Services Center (GES DISC). The BADC has mirrored the data stored in the GES DISC for ease of access.", "removedDataReason": "", "keywords": "HIRDLS, temperature, aerosol, chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-01-25T16:24:47", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 7755, "dataPath": "/badc/hirdls/data/level0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2777433636837, "numberOfFiles": 817038, "fileFormat": "Data are binary format." }, "timePeriod": { "ob_id": 5025, "startTime": "2004-01-01T00:00:00", "endTime": "2014-12-31T23:59:59" }, "resultQuality": { "ob_id": 2098, "explanation": "Please documentation provided as part of this dataset.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7759, "uuid": "1ae96c7158914b11b920d8a842f7cc8c", "short_code": "cmppr", "title": "Composite Process for: Data from High Resolution Dynamics Limb Sounder (HIRDLS) at EOS-AURA for the High Resolution Dynamics Limb Sounder (HIRDLS) Consortium Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from High Resolution Dynamics Limb Sounder (HIRDLS) at EOS-AURA for the High Resolution Dynamics Limb Sounder (HIRDLS) Consortium Project; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AURA; \n" }, "imageDetails": [ 110 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2643, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "hirdls", "label": "restricted: hirdls group", "licence": { "ob_id": 89, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/hirdls.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 7756, "uuid": "c27dd85d3a45cb3b947bbadbeac87c6e", "short_code": "proj", "title": "High Resolution Dynamics Limb Sounder (HIRDLS) Consortium", "abstract": "HIRDLS was a joint US-UK development effort, with sponsorship by the British National Space Centre and the Natural Environment Research Council in the UK, and by NASA in the US. 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HIRDLS science-team members have produced correction algorithms that make use of the partial view of the atmosphere (vertical scans around azimuth angle of 47 degree line of sight to the orbital plane, on the side away from the sun). In spite of this anomaly, HIRDLS has retained most of its scientific capabilities to support the Aura Mission.\r\n\r\nHIRDLS was carried on the Aura mission, part of NASA's Earth Observing System (EOS). Aura was launched on 15th July 2004 at 11:01:59 a.m. BST from Vandenberg Air Force Base, California. " } ], "responsiblepartyinfo_set": [ 32134, 32139, 32133, 32136, 32137, 32138, 32142, 32135, 32140, 32141 ], "onlineresource_set": [] }, { "ob_id": 7760, "uuid": "c547fe67f0e49bc3861b4369b921fb21", "title": "HIRDLS: Level 2 Version 7.00 atmospheric chemical and temperature measurements", "abstract": "HIRDLS was a mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provided sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS).\r\n\r\nThis dataset contains level 2 version 7.00 data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2012-12-18T14:49:04", "updateFrequency": "notPlanned", "dataLineage": "Data received by the ground station, was processed at the HIRDLS Science Investigator-led University of Boulder Science Processing Suite (SIPS) before being archived at the Goddard Earth Sciences Data and informations Services Center (GES DISC). The BADC has mirrored the data stored in the GES DISC for ease of access.", "removedDataReason": "", "keywords": "HIRDLS, Aerosol, Atmosphere", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2013-03-13T15:17:49", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 7761, "dataPath": "/badc/hirdls/data/level2-v7.00", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67223458233, "numberOfFiles": 2286, "fileFormat": "Data are HDF5 formatted" }, "timePeriod": { "ob_id": 2238, "startTime": "2005-01-22T00:00:00", "endTime": "2007-12-31T00:00:00" }, "resultQuality": { "ob_id": 2099, "explanation": "Please documentation provided as part of this dataset.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7763, "uuid": "92874e9f282b45fdbfea249c4a09bec8", "short_code": "cmppr", "title": "Composite Process for: HIRDLS Level 2 Version 7.00", "abstract": "This process is comprised of multiple procedures: 1. 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HIRDLS science-team members have produced correction algorithms that make use of the partial view of the atmosphere (vertical scans around azimuth angle of 47 degree line of sight to the orbital plane, on the side away from the sun). In spite of this anomaly, HIRDLS has retained most of its scientific capabilities to support the Aura Mission.\r\n\r\nHIRDLS was carried on the Aura mission, part of NASA's Earth Observing System (EOS). Aura was launched on 15th July 2004 at 11:01:59 a.m. BST from Vandenberg Air Force Base, California. " } ], "responsiblepartyinfo_set": [ 32147, 32152, 32146, 32149, 32150, 32151, 32155, 32148, 32153, 32154 ], "onlineresource_set": [ 15291, 15292 ] }, { "ob_id": 7764, "uuid": "ee98ef610395b042ce1dcfeac485aafe", "title": "HIRDLS: Level 2 Version 6.00 atmospheric chemical and temperature measurements", "abstract": "HIRDLS was a mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provided sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS).\r\n\r\nThis dataset contains level 2 version 6.00 data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2011-09-07T21:59:38", "updateFrequency": "notPlanned", "dataLineage": "Data received by the ground station, was processed at the HIRDLS Science Investigator-led University of Boulder Science Processing Suite (SIPS) before being archived at the Goddard Earth Sciences Data and informations Services Center (GES DISC). The BADC has mirrored the data stored in the GES DISC for ease of access.", "removedDataReason": "", "keywords": "HIRDLS, temperature, aerosol, chemistry", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-05-13T11:56:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 7765, "dataPath": "/badc/hirdls/data/level2-v6.00", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 56138491791, "numberOfFiles": 2297, "fileFormat": "Data are HDF5 formatted" }, "timePeriod": { "ob_id": 2239, "startTime": "2005-01-22T00:00:00", "endTime": "2007-12-31T00:00:00" }, "resultQuality": { "ob_id": 2100, "explanation": "Please documentation provided as part of this dataset.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-30" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7767, "uuid": "9a497ffe504e4647b237bfe1159a4f18", "short_code": "cmppr", "title": "Composite Process for: HIRDLS Level 2 Version 6.00", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: HIRDLS Level 2 Version 6.00; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on EOS-AURA; \n" }, "imageDetails": [ 110 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 7756, "uuid": "c27dd85d3a45cb3b947bbadbeac87c6e", "short_code": "proj", "title": "High Resolution Dynamics Limb Sounder (HIRDLS) Consortium", "abstract": "HIRDLS was a joint US-UK development effort, with sponsorship by the British National Space Centre and the Natural Environment Research Council in the UK, and by NASA in the US. HIRDLS was an infrared limb-scanning radiometer designed to sound the upper troposphere, stratosphere, and mesosphere to determine: temperature; the concentrations of O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, ClONO2, and aerosols; and the locations of polar stratospheric clouds and cloud tops. The goals are to provide sounding observations with horizontal and vertical resolution superior to that previously obtained; to observe the lower stratosphere with improved sensitivity and accuracy; and to improve understanding of atmospheric processes through data analysis, diagnostics, and use of two- and three-dimensional models. " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 21817, 21823, 22341, 22411, 22413, 22443, 22444, 25383, 25385, 25386, 25388, 25394, 25396, 25397, 25398, 25399, 25400, 25965 ], "vocabularyKeywords": [], "identifier_set": [ 5029 ], "observationcollection_set": [ { "ob_id": 7753, "uuid": "07ee76aabd233fef64fae9abcc3d9415", "short_code": "coll", "title": "HIgh Resolution Global Distributions of Temperature, Clouds, Aerosols, and 10 Trace Species Data from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument measurements", "abstract": "HIRDLS was a joint US-UK development effort, with sponsorship by the British National Space Centre and the Natural Environment Research Council in the UK, and by NASA in the US. HIRDLS was an mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provides sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS).\r\n\r\nThis dataset collection contains data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument. \r\n\r\nThe instrument provides high vertical resolution information despite the fact that the optical beam is partially obstructed between the scan mirror and the aperture, probably by a piece of inner lining material that became detached during launch. HIRDLS science-team members have produced correction algorithms that make use of the partial view of the atmosphere (vertical scans around azimuth angle of 47 degree line of sight to the orbital plane, on the side away from the sun). In spite of this anomaly, HIRDLS has retained most of its scientific capabilities to support the Aura Mission.\r\n\r\nHIRDLS was carried on the Aura mission, part of NASA's Earth Observing System (EOS). Aura was launched on 15th July 2004 at 11:01:59 a.m. BST from Vandenberg Air Force Base, California. " } ], "responsiblepartyinfo_set": [ 32157, 32162, 32156, 32159, 32160, 32161, 32163, 32158 ], "onlineresource_set": [ 15293 ] }, { "ob_id": 7769, "uuid": "d5c27721cd7d3858597265e5cfe823f5", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes: Abisko Above and Below-Canopy Radiation data", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) and Sodankylä (Finland) during measurement campaigns in March 2011 and March 2012. This dataset contains the radiation data collected at Abisko site in March 2011. \r\n\r\nAbove-canopy radiation:\r\nAn open area was selected at each study site (“plot O”) for measurements assumed to be representative of incoming radiation above the nearby forest canopy. A Delta-T Devices BF3 sunshine sensor and a Kipp & Zonen CGR3 pyrgeometer were connected to a Campbell Scientific CR1000 data logger recording 5-minute averages of measurements made every 5 seconds. The BF3 measures total and diffuse incoming shortwave radiation, and the CGR3 measures thermal longwave radiation.\r\n\r\nBelow-canopy radiation:\r\nIn the forest plots, two arrays of ten Kipp & Zonen CM3 shortwave pyranometers and four Kipp & Zonen CGR3 longwave pyrgeometers were connected to AM16/32B multiplexers and Campbell Scientific CR1000 data loggers recording 5-minute averages of measurements made every 5 seconds. One array was set up in a “continuity plot” C for the entire duration of each field campaign, while the other array was moved between four “roving plots” R1 to R4, providing at least 5 complete days of data at each plot. All radiometers were placed on small plywood platforms on the snow surface and were levelled and cleared of snow every morning. Radiometer positions were recorded using differential GPS at Abisko and averages of repeated handheld GPS measurements at Sodankylä.\r\nThis was a NERC funded project.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-03-24T17:38:24", "updateFrequency": "notPlanned", "dataLineage": "Campaign research data.", "removedDataReason": "", "keywords": "NERC, snow, radiation, abisko", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-22T03:26:30", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 765, "bboxName": "Abisko site", "eastBoundLongitude": 18.5, "westBoundLongitude": 17.5, "southBoundLatitude": 67.5, "northBoundLatitude": 68.5 }, "verticalExtent": null, "result_field": { "ob_id": 7770, "dataPath": "/badc/nerc-rm2010/data/snow-vegetation-atmosphere/abisko/radiation", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4462248, "numberOfFiles": 7, "fileFormat": "NetCDF" }, "timePeriod": { "ob_id": 3683, "startTime": "2011-03-08T00:00:00", "endTime": "2011-03-29T23:00:00" }, "resultQuality": { "ob_id": 2101, "explanation": "Campaign Research data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14282, "uuid": "2abb0d99822848c79aaaef8d86629a46", "short_code": "acq", "title": "RM2010 - Abisko Above and Below-Canopy Radiation data", "abstract": "RM2010 - Abisko Above and Below-Canopy Radiation data" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2543, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 12273, "uuid": "5fcda0aef03b4f0eaa2a665c69b5e029", "short_code": "proj", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project", "abstract": "By modifying the amount of solar radiation absorbed at the land surface, bright snow and dark forests have strong influences on weather and climate; either a decrease in snow cover or an increase in forest cover, which shades underlying snow, increases the absorption of radiation and warms the overlying air. \r\n\r\nComputer models for weather forecasting and climate prediction thus have to take these effects into account by calculating the changing mass of snow on the ground and interactions of radiation with forest canopies. Such models generally have coarse resolutions ranging from kilometres to hundreds of kilometres. Forest cover cannot be expected to be continuous over such large distances; instead, northern landscapes are mosaics of evergreen and deciduous forests, clearings, bogs and lakes. Snow can be removed from open areas by wind, shaded by surrounding vegetation or sublimated from forest canopies without ever reaching the ground, and these processes which influence patterns of snow cover depend on the size of the openings, the structure of the vegetation and weather conditions. Snow itself influences patterns of vegetation cover by supplying water, insulating plants and soil from cold winter temperatures and storing nutrients.\r\n\r\nThe aim of this project was to develop better methods for representing interactions between snow, vegetation and the atmosphere in models that, for practical applications, cannot resolve important scales in the patterns of these interactions.\r\n\r\nInformation was gathered on distributions of snow, vegetation and radiation during two field experiments at sites in the arctic: one in Sweden and the other in Finland. These sites were chosen because they have long records of weather and snow conditions, easy access, good maps of vegetation cover from satellites and aircraft and landscapes ranging from sparse deciduous forests to dense coniferous forests that are typical of much larger areas. \r\n\r\nUsing 28 radiometers, and moving them several times during the course of each experiment, allowed us to measure the highly variable patterns of radiation at the snow surface in forests.\r\n\r\nInformation from the field experiments have been used in developing and testing a range of models. To reach the scales of interest, we began with a model that explicitly resolves individual trees and work up through models with progressively coarser resolutions, testing the models at each stage against each other and in comparison with observations. The ultimate objective was a model that will be better able to make use of landscape information in predicting the absorption of radiation at the surface and the accumulation and melt of snow. \r\n\r\nThis project was funded by the Natural Environment Research Council (NERC) for three and a half years from November 2010 to February 2014 (NERC Reference: NE/H008187/1).\r\n" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 9555, 9556, 25938, 52331, 52332, 52333, 80059 ], "vocabularyKeywords": [], "identifier_set": [ 5032 ], "observationcollection_set": [ { "ob_id": 7768, "uuid": "6947880b98d32e249a8638ebe768efd2", "short_code": "coll", "title": "Snow-Vegetation-Atmosphere Interactions over Heterogeneous Landscapes Project: Vegetation and Meteorological Observations at the Abisko Site", "abstract": "Vegetation and meteorological observations (snow and radiation) were collected by various ground instruments in an area of forest near Abisko (Sweden) during measurement campaigns in March and April 2011. This data is made available through the BADC. This is a NERC funded project." } ], "responsiblepartyinfo_set": [ 52572, 32175, 32180, 32174, 32177, 32178, 32179, 32176, 54735 ], "onlineresource_set": [] }, { "ob_id": 7774, "uuid": "0844186db1ba9e20319a2560f8d61651", "title": "British Antarctic Survey Twin Otter aircraft Meteorological Airborne Science INstrumentation (MASIN) core data for the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project.", "abstract": "ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1). ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models.\r\n\r\n\r\nThis dataset contains meteorological data measured by the Meteorological Airborne Science INstrumentation (MASIN) onboard the British Antarctic Survey Twin Otter aircraft in the North Sea and Svalbard, Norway during the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project (2013).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-01-06T09:06:52", "updateFrequency": "notPlanned", "dataLineage": "Data were collected and prepared by the British Antartic Survey (BAS) before delivery for achiving at the BADC.", "removedDataReason": "", "keywords": "ACCACIA, BAS Masin, temperature, dew point, humidity, wind speed", "publicationState": "citable", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-10T16:30:48", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1991, "bboxName": "ACCACIA-masin", "eastBoundLongitude": 29.2, "westBoundLongitude": -1.0, "southBoundLatitude": 75.0, "northBoundLatitude": 82.0 }, "verticalExtent": null, "result_field": { "ob_id": 7775, "dataPath": "/badc/accacia/data/masin/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 10208110947, "numberOfFiles": 88, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2240, "startTime": "2013-03-22T00:00:00", "endTime": "2013-07-29T23:00:00" }, "resultQuality": { "ob_id": 2103, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 14777, "uuid": "370d881708674f82a9da163fb81e8657", "short_code": "acq", "title": "ACCACIA: BAS-MASIN aircraft atmospheric measurements", "abstract": "ACCACIA: BAS-MASIN aircraft atmospheric measurements" }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 142 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12286, "uuid": "e0e2261d155848fab84b1169aeb2be80", "short_code": "proj", "title": "Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA)", "abstract": "ACCACIA was a £3M NERC-funded consortium project in collaboration with the Universities of Manchester, York, and East Anglia, and the British Antarctic Survey, along with the Met Office and project partners in the US and Europe. ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21561, 21562, 21563, 21564, 21565, 21566, 21567, 21568, 21569, 21570, 21571, 21572, 21573, 21574, 21575 ], "vocabularyKeywords": [], "identifier_set": [ 5036, 8510, 9518 ], "observationcollection_set": [ { "ob_id": 7773, "uuid": "c59f184de7a408212ee926a9ee6bf66e", "short_code": "coll", "title": "Aerosol-Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) Measurement Campaign", "abstract": "ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1).\r\n\r\nThis dataset collection contains atmospheric measurements from Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft, the British Antarctic Survey (BAS) Masin aircraft and from RRS James Clark Ross ship. This dataset collection also contains data from specially configured Met Office Unified Model runs. Data from corresponding ship measurements are also available.\r\n\r\nThe climate of the Arctic is changing faster than that almost anywhere else on Earth, warming at a rate of twice the global average. This warming is accompanied by a rapid melting of the sea ice and a thinning of the ice that remains from year to year. The strong warming in the Arctic is due to several positive feedback processes, including a sea-ice albedo feedback (warmer conditions melt ice, lowering the average reflectivity of the mixed ice/ocean surface and thus absorbing more solar radiation, leading to increased ice melt and further lowering of the albedo) and several cloud feedbacks. There is a large uncertainty in models of the Arctic climate primarily because of the poor representation of physical processes within the models - particularly the representation of Arctic clouds, and due to some unique and particularly challenging conditions. \r\n\r\nA better understanding of cloud and aerosol processes in the Arctic is critical to understanding the polar atmosphere and developing more realistic climate models. \r\n\r\nTo address this issue the ACCACIA project embarked on an intensive measurement campaign in the Svalbard archipelago near the margin of permanent Arctic sea ice cover resulting in a comprehensive dataset comprising of airborne in situ measurements of cloud microphysical properties, the vertical structure of the boundary layer and aerosol properties, and the fluxes of solar and infra red radiation above, below, and within cloud.\r\n\r\n" }, { "ob_id": 7571, "uuid": "8be3dd7cdf44090d89aeb8f105421506", "short_code": "coll", "title": "BAS Masin Twin-Otter aircraft data", "abstract": "Data is collected on board the British Antarctic Survey MASIN Twin Otter aircraft for a range of projects in the Antarctic and at other locations. These projects include atmospheric, boundary layer and cloud/aerosol studies.\r\n\r\n\r\nThe instrument suite includes standard temperature and water vapour sensors as well as a turbulence probe allowing full atmospheric profile measurements of temperature, dew point and winds. A DMT Cloud and aerosol spectrometer (CAPS) probe is used for cloud studies and a closed path Licor H2O/CO2 instrument, Grimm optical particle counter and cloud condensation nuclei counter are fed from simple Rosemount inlets." } ], "responsiblepartyinfo_set": [ 50084, 32196, 32195, 32201, 32198, 32199, 32200, 32197 ], "onlineresource_set": [ 6925, 87754 ] }, { "ob_id": 7776, "uuid": "f3d2c9b53e34271de53e3a3802cc6689", "title": "ACCACIA: Met Office UM Model output", "abstract": "ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1). ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models.\r\n\r\nThis dataset contains measurements from the Met Office UM (Unified Model) model.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-17T10:49:24", "updateFrequency": "notPlanned", "dataLineage": "Data were produced by the project participants before delivery for archiving at the British Atmospheric Data Centre.", "removedDataReason": "", "keywords": "ACCACIA, Unified Model, UM, Met Office", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-09-10T16:39:37", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 935, "bboxName": "", "eastBoundLongitude": 23.0, "westBoundLongitude": -23.0, "southBoundLatitude": 70.0, "northBoundLatitude": 82.0 }, "verticalExtent": null, "result_field": { "ob_id": 7777, "dataPath": "/badc/accacia/data/metoffice-um", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 413626657056, "numberOfFiles": 668, "fileFormat": "Data are PP formatted" }, "timePeriod": { "ob_id": 3555, "startTime": "2013-03-20T12:00:00", "endTime": "2013-08-05T11:00:00" }, "resultQuality": { "ob_id": 2104, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-10" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 7778, "uuid": "88ffbb773ccd437396df15fff0ad1675", "short_code": "comp", "title": "Met Office operational unified model (UM) deployed on unknown computer", "abstract": "This computation involved: Met Office operational unified model (UM)." }, "procedureCompositeProcess": null, "imageDetails": [ 142 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 12286, "uuid": "e0e2261d155848fab84b1169aeb2be80", "short_code": "proj", "title": "Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA)", "abstract": "ACCACIA was a £3M NERC-funded consortium project in collaboration with the Universities of Manchester, York, and East Anglia, and the British Antarctic Survey, along with the Met Office and project partners in the US and Europe. ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5037, 8511 ], "observationcollection_set": [ { "ob_id": 7773, "uuid": "c59f184de7a408212ee926a9ee6bf66e", "short_code": "coll", "title": "Aerosol-Cloud Coupling And Climate Interactions in the Arctic (ACCACIA) Measurement Campaign", "abstract": "ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1).\r\n\r\nThis dataset collection contains atmospheric measurements from Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft, the British Antarctic Survey (BAS) Masin aircraft and from RRS James Clark Ross ship. This dataset collection also contains data from specially configured Met Office Unified Model runs. Data from corresponding ship measurements are also available.\r\n\r\nThe climate of the Arctic is changing faster than that almost anywhere else on Earth, warming at a rate of twice the global average. This warming is accompanied by a rapid melting of the sea ice and a thinning of the ice that remains from year to year. The strong warming in the Arctic is due to several positive feedback processes, including a sea-ice albedo feedback (warmer conditions melt ice, lowering the average reflectivity of the mixed ice/ocean surface and thus absorbing more solar radiation, leading to increased ice melt and further lowering of the albedo) and several cloud feedbacks. There is a large uncertainty in models of the Arctic climate primarily because of the poor representation of physical processes within the models - particularly the representation of Arctic clouds, and due to some unique and particularly challenging conditions. \r\n\r\nA better understanding of cloud and aerosol processes in the Arctic is critical to understanding the polar atmosphere and developing more realistic climate models. \r\n\r\nTo address this issue the ACCACIA project embarked on an intensive measurement campaign in the Svalbard archipelago near the margin of permanent Arctic sea ice cover resulting in a comprehensive dataset comprising of airborne in situ measurements of cloud microphysical properties, the vertical structure of the boundary layer and aerosol properties, and the fluxes of solar and infra red radiation above, below, and within cloud.\r\n\r\n" } ], "responsiblepartyinfo_set": [ 50085, 32206, 32203, 32202, 32208, 32205, 32207, 32204 ], "onlineresource_set": [] }, { "ob_id": 7782, "uuid": "3f35b7632fdeb59b2df2247451e6d830", "title": "MERIS Terrestrial Chlorophyll Index (MTCI) Level 3 composites: Australia", "abstract": "Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd. One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. 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Infoterra Ltd, backed by the European Space Agency (ESA) and the British National Space Centre (BNSC), has set up a Level 3 product generation and dissemination service. \n\nThe production service is based around the High level Product Generation (HiProGen) system which was initially developed under an ESA funded Research and Technology Development contract. Upgraded to use Near Real-Time data and to work in the UK-PAC operational environment, the HiProGen system is now generating Level 3 composites of MERIS Level 2 geophysical data. Level 3 products are generated in GeoTIFF format, on lat-long geocoded grids, accompanied by an XML metadata file and a JPEG browse image.\n\nThe Infoterra Level 3 production service combines individual passes (or swathes) of data from satellite instruments into single composite products. These Level 3 composites generated at global and regional scales using two distinct types of compositing algorithm. At the global scale, large (nominally 4.6km) sample sizes are used with each input Level 2 pixel accumulated into a geographic 'bin'. This is the standard form of compositing carried out where the output bin is much larger than the size of the input instrument samples. Unfortunately at higher scales, where the input and output sample sizes are comparable, the input samples overlap several cells of the output grid to a significant degree. If this is not taken into account then both the fine scale values and the overall product statistics are distorted (i.e. the final product is not flux conserving). \n\nFor the regional products, with nominal sample spacings of 1km or less, an area weighted, flux conserving compositing algorithm is used. This algorithm was developed by Tom McGlynn of NASA. \n\nThe HiProGen Level 3 Production system makes use of the Basic ENVISAT (A)ATSR and MERIS (BEAM) toolkit. 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NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. 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Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-2; \n" }, "imageDetails": [ 95 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2537, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "esasar", "label": "restricted: esasar group", "licence": { "ob_id": 17, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esasar.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7803, "uuid": "18881496135820e8772da089385f53ff", "short_code": "proj", "title": "ESA ERS", "abstract": "The ESA (European Space Agency) ERS (Earth Resources Satellite) programme was composed of two missions, ERS-1 and ERS-2, which were launched into the same orbit in 1991 and 1995 respectively. The two spacecraft were designed as identical twins with one important difference – ERS-2 included an extra instrument (GOME) designed to monitor ozone levels in the atmosphere. Due to the satellites' shared orbit, a tandem mission was implemented following the launch of ERS-2, whereby ERS-2 passed the same point on the ground one day later than ERS-1." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22848, 25947, 25995 ], "vocabularyKeywords": [], "identifier_set": [ 5069 ], "observationcollection_set": [ { "ob_id": 7800, "uuid": "b0decc428d6329dfc618cbe2cb569559", "short_code": "coll", "title": "ESA Synthetic Aperture Radar (SAR) and Advanced-SAR (ASAR) radar backscatter measurements", "abstract": "The European Space Agency's (ESA) Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat satellite. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites. \r\n\r\nThis dataset collection contains Synthetic Aperture Radar (SAR) data from the European Remote Sensing (ERS) satellites ERS-1 and ERS-2, and Advanced SAR data from Envisat. The ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing. SAR provides high resolution images, ocean wave spectra data and wind direction vector data. They are available through the NEODC to UK based students only." } ], "responsiblepartyinfo_set": [ 32300, 32305, 32299, 32302, 32303, 32304, 32306, 32301 ], "onlineresource_set": [] }, { "ob_id": 7817, "uuid": "01160c6f494f98c6aa938b2695f84de5", "title": "ENVISAT satellite: Advanced Synthetic Aperture Radar (ASAR) data", "abstract": "The European Space Agency's Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites.\r\n\r\nThis dataset contains Advanced Synthetic Aperture Radar(ASAR) data from the European Remote Sensing satellites ERS-1 and ERS-2, and Advanced SAR data from Envisat. \r\n\r\nThe ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing. SAR provides high resolution images, ocean wave spectra data and wind direction vector data. They are available through the NEODC to UK based students only.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-09-11T13:13:17", "updateFrequency": "unknown", "dataLineage": "Data collected and prepared by ESA before a copy was obtained directly from ESA by NEODC for use by UK student community", "removedDataReason": "", "keywords": " ESA, SAR, satellite", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-08-09T13:42:32", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 7818, "dataPath": "/neodc/esasar/envisat_asar/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4316087378, "numberOfFiles": 96, "fileFormat": "Data are tar formatted\r\n\r\n" }, "timePeriod": { "ob_id": 2245, "startTime": "2004-01-01T00:00:00", "endTime": "2004-12-28T23:59:59" }, "resultQuality": { "ob_id": 2111, "explanation": "Data were prepared by ESA. Refer to ESA documentation for quality statement", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7823, "uuid": "bf5b001621384d41bfd1bcb16b4104d2", "short_code": "cmppr", "title": "Composite Process for: Data from ENVISAT ASAR at Envisat for the ENVISAT Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from ENVISAT ASAR at Envisat for the ENVISAT Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat; \n" }, "imageDetails": [ 95 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2537, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "esasar", "label": "restricted: esasar group", "licence": { "ob_id": 17, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/esasar.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 7819, "uuid": "dc4b92f73c225f5cff79f832699cea02", "short_code": "proj", "title": "ENVISAT", "abstract": "An ARIANE 5 rocket launched the ENVISAT satellite on the 1st March, 2002 at 02:07:59 (CET) hrs. The satellite follows in the footsteps of ERS 1 and 2 in its mission to provide support for research into global warming and climate change and in pollution and disaster monitoring. It provides complete coverage of the earth within one to three days. Its nine instruments deliver data about the Earth's land, oceans, atmosphere and ice caps." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22848, 25947, 25995 ], "vocabularyKeywords": [], "identifier_set": [ 5073 ], "observationcollection_set": [ { "ob_id": 7800, "uuid": "b0decc428d6329dfc618cbe2cb569559", "short_code": "coll", "title": "ESA Synthetic Aperture Radar (SAR) and Advanced-SAR (ASAR) radar backscatter measurements", "abstract": "The European Space Agency's (ESA) Synthetic Aperture Radar (SAR) instruments have been flown on board ERS-1, ERS-2 and the Advanced SAR (ASAR) on board Envisat satellite. The ERS-1, ERS-2 and Envisat satellites, launched in 1991, 1995 and 2002 respectively, are ESA multi-payload, Earth observation satellites. \r\n\r\nThis dataset collection contains Synthetic Aperture Radar (SAR) data from the European Remote Sensing (ERS) satellites ERS-1 and ERS-2, and Advanced SAR data from Envisat. The ERS-1 mission began in 1991 and ended in 2000, and ERS-2 and Envisat are still ongoing. SAR provides high resolution images, ocean wave spectra data and wind direction vector data. They are available through the NEODC to UK based students only." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 32310, 32315, 32309, 32312, 32313, 32314, 32316, 32311 ], "onlineresource_set": [] }, { "ob_id": 7825, "uuid": "a3bdfb9b64937d42f5cb0cbf7c3d033f", "title": "NCAVEO: Environment Agency LiDAR data collected during the flight of an Cessna 404 Aircraft", "abstract": "LiDAR data was collected by the UK Environment Agency on 17th June 2006 as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected from a Cessna 404 aircraft carrying an Optech 3100 LiDAR. The sensor was integrated with the on-board navigation system to provide accurate geometric correction through post-processing. The LiDAR was operated at 33 kHz to give a nominal pulse spacing around 1-2 m, and intensity plus first and last pulse returns were recorded. For further information please see the LiDAR survey report in linked documentation and the dataset's metadata document.\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-03-19T13:01:19", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, LIDAR, CESSNA", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T23:12:25", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12665, "dataPath": "/neodc/ncaveo_field/data/Environment_Agency/LiDAR_data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8771673436, "numberOfFiles": 344, "fileFormat": "LiDAR catalogue data is in shape file format and raster datasets and files within the \\xyz\\ directory are in ASCII Grid format. All are ArcView compatible. Metadata about data collection, processing, filtering and comparison of collected data to independent ground truth data is also included in the LiDAR report of the survey. " }, "timePeriod": { "ob_id": 2247, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2112, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7831, "uuid": "b9b7d4ebf9aa4dda9768fea0ffa9f46f", "short_code": "acq", "title": "Acquisition Process for: Data from Environment Agency LIDAR at Environment Agency Cessna 404 Aircraft for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Environment Agency LIDAR; PLATFORMS: Environment Agency Cessna 404 Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5079 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32329, 32334, 32335, 32328, 32331, 32332, 32333, 32330 ], "onlineresource_set": [ 6087, 6176 ] }, { "ob_id": 7832, "uuid": "9dfcbe861cfb6c477619c6cf38b70c73", "title": "NCAVEO: Digital Camera Imagery collected during the flight of a Cessna 404 Aircraft operated by the UK Environment Agency (EA)", "abstract": "Imagery was collected using a digital multispectral camera during the flight of a Cessna 404 aircraft operated by the UK Environment Agency (EA), for the 2006 field campaign of the Network for Calibration and Validation of EO data (NCAVEO). The flight took place between 9:46 and 11:16 am on 17th June 2006. The digital camera was integrated with an on-board navigation system to provide accurate geometric correction through post-processing. The true colour images are 4080 x 4080 in size, with a nominal ground resolution around 40 cm. The dataset also includes a polygon shape file including the British National Grid geographic co-ordinates and elevation of each photograph. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-22T16:20:15", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, IMAGERY, CESSNA, MULTISPECTRAL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T23:12:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12664, "dataPath": "/neodc/ncaveo_field/data/Environment_Agency/Digital_Photography", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12014015659, "numberOfFiles": 191, "fileFormat": "Original images are in TIF format. \r\nPhoto position data is stored in DBF, SBX, SHX, SBN, SHP and text formats. " }, "timePeriod": { "ob_id": 2248, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2113, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7835, "uuid": "f5988abb3f8a47179efbd5196a7ee9ff", "short_code": "acq", "title": "Acquisition Process for: Data from Environment Agency Digital Camera at Environment Agency Cessna 404 Aircraft for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Environment Agency Digital Camera; PLATFORMS: Environment Agency Cessna 404 Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5087 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32342, 32347, 32348, 32344, 32345, 32346, 32341, 32343 ], "onlineresource_set": [ 6086 ] }, { "ob_id": 7836, "uuid": "4cadb26104b16c9a8201f4510ce31d4c", "title": "NCAVEO: Environment Agency CASI-3 data collected onboard an Environment Agency Cessna 404 Aircraft", "abstract": "This dataset compromises eight flight lines which were acquired on 17th June 2006 using an Itres Instruments Compact Airborne Spectrographic Imager (CASI-3) as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. The instrument was onboard a Cessna 404 aircraft operated by the UK Environment Agency (EA) and was operated in hyperspectral mode, with 32 spectral bands and a nominal ground resolution of 1m. The Environment Agency identified a possible spectral shift problem in the CASI-3 instrument during June 2006. The problem was corrected but it is still unknown how much the spectral shift occurred during data collection for NCAVEO. The document ‘CASI3 Wavelength correction for NCAVEO.pdf’ in further documentation provides further details. EasGeo software is also stored in the EasGeo folder in the directory as easgeo.sav, as well as documentation with further details on the data. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-09-09T15:14:08", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, CASI-3, CESSNA", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T23:08:44", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 7837, "dataPath": "/neodc/ncaveo_field/data/Environment_Agency/CASI_data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12045359832, "numberOfFiles": 55, "fileFormat": "Radiometrically corrected images and pixel position maps are in HDR format. Navigation data is in ASCII format.\r\n" }, "timePeriod": { "ob_id": 2249, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2114, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7839, "uuid": "cec0deb60db849498df1643bb6e0dbee", "short_code": "acq", "title": "Acquisition Process for: Data from Environment Agency CASI-3 at Environment Agency Cessna 404 Aircraft for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Environment Agency CASI-3; PLATFORMS: Environment Agency Cessna 404 Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5090 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32352, 32357, 32358, 32351, 32354, 32355, 32356, 32353 ], "onlineresource_set": [ 6174, 6175 ] }, { "ob_id": 7840, "uuid": "86e6a1554abe156e982a9a0fc41c4b41", "title": "NCAVEO: UK-DMC optical imaging satellite data", "abstract": "The DMC constellation of small satellites provided several images to support the 2006 Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Experiment. DMC is a unique sensor because of its combination of wide swath and high spatial resolution. The data was acquired from UK-DMC at 09:42:53 GMT on the 17th June and consists of three multispectral bands (green, red, near infra-red) with a nominal ground resolution of 32 m. The study area forms a very small part of the whole DMC image, which has a swath width of over 640 km. Other DMC data were obtained from satellites in the constellation operated by Algeria and Nigeria. The NigeriaSat-1 and UKDMC images were taken around the time of the campaign and the AlSAT image a month later. These files have not been geometrically referenced and vary in quality and amount of cloud cover. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-22T16:14:14", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, DMC, OPTICAL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T22:49:28", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12663, "dataPath": "/neodc/ncaveo_field/data/DMC", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2954288087, "numberOfFiles": 13, "fileFormat": "Data is in TIF format." }, "timePeriod": { "ob_id": 2250, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2115, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7847, "uuid": "052138235d4a42478bf9b60ffac6b5e1", "short_code": "cmppr", "title": "Composite Process for: Data from UK-DMC optical imaging payload at UK-DMC for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from UK-DMC optical imaging payload at UK-DMC for the NCAVEO - Network for Calibration and Validation of EO data Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on UK-DMC; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5093 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32362, 32367, 32368, 32361, 32364, 32365, 32366, 32363 ], "onlineresource_set": [ 6085, 6135 ] }, { "ob_id": 7848, "uuid": "3d966add9811374d81fc46d4dee2cfdc", "title": "NCAVEO: Project for On-Board Autonomy (PROBA) Compact High Resolution Imaging Spectrometer (CHRIS) data collected over Chilbolton", "abstract": "This dataset compromises data collected by the Compact High Resolution Imaging Spectrometer (CHRIS) over Chilbolton, 17th June 2006, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data were collected in Mode 1, which has 34 metre pixel size and 62 spectral bands between 411 nm and 997 nm, giving a ground resolution of 34 metres. \r\n\r\nSurrey Satellite Technology Ltd is the owner of all data directly resulting from in-flight operation of the CHRIS instrument flown on- board the ESA PROBA spacecraft. All publications on the CHRIS instrument or data obtained from the CHRIS development and/or operation should therefore make explicit reference to Surrey Satellite Technology Ltd, the CHRIS instrument and the ESA PROBA mission. The L3b Directory contains data created by Ted Milton from the L1b, after having been destriped and registered to the OS grid.\r\n\r\nFor more information on the structure and format of the data please see the associated metadata PDF for the dataset in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-21T13:50:08", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, CHRIS, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T22:20:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12661, "dataPath": "/neodc/ncaveo_field/data/CHRIS_Proba", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 964461559, "numberOfFiles": 20, "fileFormat": "Level 1 data is in HDF format.\r\nLevel 3 data is in HDR format. " }, "timePeriod": { "ob_id": 2251, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2116, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7855, "uuid": "554a9e612788442d8558d1ba01e9f592", "short_code": "cmppr", "title": "Composite Process for: Data from PROBA Compact High Resolution Imaging Spectrometer (CHRIS) at ESA Project for On-Board Autonomy (Proba) for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from PROBA Compact High Resolution Imaging Spectrometer (CHRIS) at ESA Project for On-Board Autonomy (Proba) for the NCAVEO - Network for Calibration and Validation of EO data Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ESA Project for On-Board Autonomy (Proba); \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 66078, 66079 ], "vocabularyKeywords": [], "identifier_set": [ 5098 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32374, 32379, 32380, 32373, 32376, 32377, 32378, 32375 ], "onlineresource_set": [ 6083, 6133 ] }, { "ob_id": 7856, "uuid": "7ebb759ae672ec0dfe5d45f20e3af96d", "title": "NCAVEO: Level 1B ARSF Compact Airbone Spectrographic Imager 2 (CASI-2) data collected on board the Dornier Do228-101 D-CALM aircraft", "abstract": "As part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign, a Dornier 228 aircraft operated by the Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF) collected CASI-2 data on 17th June 2006. The data was collected between 10:40 am and 12:01pm GMT over Chilbolton, the campaign's study area. The aircraft flew eight adjacent north-south flightlines to cover the whole area, and one east-west across the area, passing directly over the CFARR site. Information about data collection can be found in documentation file '168-GB06-10.pdf' in linked documentation.\r\n\r\nThis dataset holds the 8 Level 1b hdf files which have been produced, containing all relevant VGroup metadata, navigation and data to process the complete flightline using the azgcorr software package. See the \"read me\" document in linked documentation for the command lines for each flightline and further information on how to view the data. You will also require the ancillary file osgb02 for inclusion in the command line and a high resolution DSM (Digital Surface Model), such as provided by the Nextmap 5m DSM dataset. Level 3a CASI-2 files and data collected by the Eagle instrument during the flight are also available through their separate dataset record pages, listed in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:05:48", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64846, 64847 ], "vocabularyKeywords": [], "identifier_set": [ 5103 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32386, 32391, 32392, 32385, 32388, 32389, 32390, 32387 ], "onlineresource_set": [ 6269, 6270, 6256, 6257, 6258, 6308 ] }, { "ob_id": 7860, "uuid": "b123d0cbcd185ee62c6945d4e92bd6fa", "title": "NCAVEO: LANDSAT7 ETM+ imagery of Chilbolton area", "abstract": "A satellite image taken by the LANDSAT 7 Enhanced Thematic Mapper Plus (ETM+) on the 12th May 2001 (source: Univ Maryland GLCF) has been resized to the study area of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO) in Chilbolton. The image has been exported as geotiff using bands 4,5, and 3 as RGB and its projection converted from UTM to the British National Grid, cell size 28.5m x 28.5m. A image from the Landsat 5 Thematic Mapper has also been resized to the study area (see link to this data's record in linked documentation).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-05-30T16:21:41", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, LANDSAT7, ETM+, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T23:25:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12690, "dataPath": "/neodc/ncaveo_field/data/Satellite_Images/ETM+", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6969389, "numberOfFiles": 6, "fileFormat": "Image has been resized to the study area and exported as geotiff using bands 4,5 and 3 as RGB" }, "timePeriod": { "ob_id": 2253, "startTime": "2001-05-11T23:00:00", "endTime": "2001-05-11T23:00:00" }, "resultQuality": { "ob_id": 2118, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7867, "uuid": "71cd2cfcf5334d26b8eb5a0813c67f7c", "short_code": "cmppr", "title": "Composite Process for: Data from LANDSAT7 ETMPLUS at Landsat7 for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from LANDSAT7 ETMPLUS at Landsat7 for the NCAVEO - Network for Calibration and Validation of EO data Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat7; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5106 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32396, 32401, 32395, 32398, 32399, 32400, 32402, 32397 ], "onlineresource_set": [ 6128, 6203 ] }, { "ob_id": 7868, "uuid": "6b150c9ce1fb1fcb48fc06f9cf5ff983", "title": "NCAVEO: LANDSAT5 Thematic Mapper (TM) imagery of Chilbolton area", "abstract": "A satellite image taken by the LANDSAT 5 Thematic Mapper (TM) on the 12th June 1992 has been resized to the study area of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO) in Chilbolton. The image has been exported as geotiff using bands 4,5, and 3 as RGB. The image (source: MIMAS archive) was registered to the British National Grid using the Image to Map option in ENVI. The warping method adopted was a 2nd degree bilinear resampling and the cell size is 30m x 30m. A image from the Landsat 7 ETM+ has also been resized to the study area (see link to this data's record in linked documentation).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-05-30T16:21:50", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, LANDSAT5, THEMATIC MAPPER, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T23:40:17", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12688, "dataPath": "/neodc/ncaveo_field/data/Satellite_Images/TM", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 7124558, "numberOfFiles": 6, "fileFormat": "Image has been resized to the study area and exported as geotiff using bands 4,5 and 3 as RGB" }, "timePeriod": { "ob_id": 2254, "startTime": "1992-06-11T23:00:00", "endTime": "1992-06-11T23:00:00" }, "resultQuality": { "ob_id": 2119, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 7875, "uuid": "c79f4abfc078453b820810ac00560d61", "short_code": "cmppr", "title": "Composite Process for: Data from LANDSAT5 Thematic Mapper (TM) at Landsat5 for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from LANDSAT5 Thematic Mapper (TM) at Landsat5 for the NCAVEO - Network for Calibration and Validation of EO data Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat5; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5111 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32408, 32413, 32407, 32410, 32411, 32412, 32414, 32409 ], "onlineresource_set": [ 6127, 6202 ] }, { "ob_id": 7876, "uuid": "913397583d98501279927de52c815631", "title": "NCAVEO: NERC Field Spectroscopy Facility (FSF) Fabric Calibration Site Reflectance data collected at Chilbolton using an ASD FieldSpec Pro", "abstract": "This dataset consists of the reflectance spectra which was collected on the 16th-17th June 2006 from three artificial targets deployed at the Chilbolton Facility for Atmospheric and Radio Research (CFARR), as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Experiment. The reflectance data were acquired using an ASD FieldSpec Pro fitted with a contact probe. For further details on each of the data files please see the dataset's metadata document in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-08-19T15:43:34", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, FSF, FABRIC, CHILBOLTON, CFARR", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-16T23:57:52", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12670, "dataPath": "/neodc/ncaveo_field/data/Field_spectra/Fabric_Spectra", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3937312, "numberOfFiles": 13, "fileFormat": "The calibrated reflectance spectra data are within NASA Ames files, in text format. Plots of the spectra are in PNG format and photographs showing that fabric sheets pegged out in the field are in JPG files. " }, "timePeriod": { "ob_id": 2255, "startTime": "2006-09-26T23:00:00", "endTime": "2006-09-26T23:00:00" }, "resultQuality": { "ob_id": 2120, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7880, "uuid": "66056a0d67ac45dd8e537658fcb24543", "short_code": "acq", "title": "Acquisition Process for: Data from FSF ASD FieldSpec Pro at NERC Field Spectroscopy Facility (FSF) for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: FSF ASD FieldSpec Pro; PLATFORMS: NERC Field Spectroscopy Facility (FSF); " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 84669 ], "vocabularyKeywords": [], "identifier_set": [ 5116 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32420, 32425, 32419, 32422, 32423, 32424, 32426, 32421 ], "onlineresource_set": [ 6100 ] }, { "ob_id": 7881, "uuid": "91a111ab2ac48432f816d1a5b39e0ad8", "title": "Data from FSF Erbium doped Spectralon panel and Mylar and McCrone Filters at NERC Field Spectroscopy Facility (FSF) for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "The Network for Calibration (cal) and Validation (val) of Earth Observation data NCAVEO organised a cal-val field experiment at Chilbolton in June 2006. The aim is to undertake a validation exercise based on the protocols and methods developed by the Validation of LAnd European Remote sensing \nInstruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-12-22T13:40:27", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-17T00:14:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 7882, "dataPath": "/neodc/ncaveo_field/data/FSF_Calibration", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 54134798, "numberOfFiles": 17, "fileFormat": "<div property=\"cedacat:formats\">\r\n<div class=\"formats\">Data Availability</div>\r\n<p>\r\nDatasets for the NCAVEO field experiment available to participants of the experiment <a href=\"http://neodc.nerc.ac.uk/browse/neodc/ncaveo_field\">through the NEODC archive</a> include:</p>\r\n<ul class=\"style1\">\r\n<li><strong>Validation Site Details</strong> \r\n<ul>\r\n<li>Polygon shapefile showing the field boundaries and an attribute table containing the field names, the owner name and the type of crop growing in each field. Source: NCAVEO \r\n</li><li>Polygon shapefile showing the study area boundaries. Source: NCAVEO \r\n</li><li>OS coordinates of sites. Source: NCAVEO </li></ul>\r\n</li><li><strong>Landsat Images</strong>: \r\n<ul>\r\n<li>Both images resized to the study area and exported as geotiff using bands 4,5, and 3 as RGB. \r\n<ul>\r\n<li>Landsat TM Image (12th June 1992). Source: MIMAS archive \r\n</li><li>Landsat ETM+ Image 12th May 2001. Source: GLCF </li></ul></li></ul>\r\n</li><li><strong>Centre for Ecology and Hydrology (CEH) Land Cover Map 2000 (LCM2000) Data <sup>1</sup></strong> \r\n<ul>\r\n<li>25 m derived raster format and Level 2 vector format </li></ul>\r\n</li><li><strong>NEXTMap Digital Elevation Model <sup>2</sup></strong> \r\n</li><li><strong>Field Measurements</strong> \r\n<ul>\r\n<li>Leaf Area Index measurements by LAI2000 and SunScan instruments \r\n</li><li>Reflectance Spectra of Spring Barley from field Brockley \r\n</li><li>Microtops sunphotometer data \r\n</li><li>Hemispherical photos</li></ul>\r\n</li><li><strong>Field Spectroscopy Facility Calibration Files</strong> \r\n<ul>\r\n<li>Reflectance Reference Panel Calibration and Spectroradiometer Wavelength Verification Files. Source: NERC FSF</li></ul>\r\n</li><li><strong>CHRIS Proba Data </strong>\r\n<ul>\r\n<li>L1b data. Source: Surrey Satellite Technology Ltd/ESA \r\n</li><li>L3b data (destriped and registered to the OS grid). Source: NCAVEO</li></ul>\r\n</li><li><strong>Environment Agency Airborne Data</strong>: \r\n<ul>\r\n<li>Digital photography \r\n</li><li>CASI data \r\n</li><li>LiDAR data </li></ul></li></ul>\r\n<p class=\"style3\">1 See <a href=\"http://catalogue.ceda.ac.uk/uuid/1bd42cf1d9aa4603843402f3a6af79bb\">here</a> for details and application for access to the LCM2000 data </p>\r\n<p class=\"style3\">2 Available through NEODC to NERC staff and award holders only. See <a href=\"http://catalogue.ceda.ac.uk/uuid/8f6e1598372c058f07b0aeac2442366d\">here</a> for details and application for access to NEXTMap data </p>\r\n<p class=\"style1 \">Available elsewhere:</p>\r\n<ul>\r\n<li class=\"style1\"><strong>SSSI data</strong>: The dataset for Chilbolton can be downloaded from <a href=\"http://www.english-nature.org.uk/pubs/gis/GIS_Register.asp\">English Nature</a> as follows: \r\n<ul>\r\n<li>register for the service \r\n</li><li>select the option to download SSI data. Data are delivered based on 100 km squares. The study <span class=\"style1\">area is covered by the Ordnance Survey tile SU. </span></li></ul>\r\n</li><li class=\"style1\"><strong>OS Map data</strong>: 1:25000 OS Colour Raster, available from <a href=\"http://edina.ac.uk/digimap/\">Digimap</a> (Edina service) to registered users </li></ul>\r\n\r\n<p class=\"style1\">If you have further relevant datasets to contribute to this project, please contact <a href=\"mailto:neodc@rl.ac.uk\">NEODC</a>.</p>\r\n<p>\r\n\r\n</p><center><img alt=\"Chilbolton dish\" height=\"217\" src=\"http://www.neodc.rl.ac.uk/images/data_pages/Chilbolton_dish_from_CCLRC_website.jpg\" width=\"231\" />\r\n<p><em>Aerial photograph: Chilbolton dish (source: CCLRC (now STFC) website) </em></p></center>\r\n</div>" }, "timePeriod": { "ob_id": 2256, "startTime": "2006-06-13T23:00:00", "endTime": "2006-07-14T23:00:00" }, "resultQuality": { "ob_id": 2121, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7884, "uuid": "1a008993e7cf4ce5ae2a43583f190eb1", "short_code": "acq", "title": "Acquisition Process for: Data from FSF Erbium doped Spectralon panel and Mylar and McCrone Filters at NERC Field Spectroscopy Facility (FSF) for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: FSF Erbium doped Spectralon panel and Mylar and McCrone Filters; PLATFORMS: NERC Field Spectroscopy Facility (FSF); " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 2713, 2714, 2715, 2716, 2717, 2718, 2719, 2720, 2721, 2723, 2724, 2725, 2726, 9557, 9558, 9559, 9560, 9561, 9562, 9563 ], "vocabularyKeywords": [], "identifier_set": [ 5121 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32432, 32437, 32431, 32434, 32435, 32436, 32438, 32433 ], "onlineresource_set": [] }, { "ob_id": 7885, "uuid": "8324d486e7d33bb9643c0d2c4fc5c1c6", "title": "NCAVEO: Newcastle University ASD Field spectra N4406 data collected at Big Croft field, near Chilbolton", "abstract": "This dataset includes reflectance spectra of oilseed rape collected from Big Croft field, near Chilbolton, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected on the 18th June, using an ASD N4406 instrument. \r\n\r\nPlease note that all raw spectra files collected during the NCAVEO campaign (labelled ***R_ASD0606**.***) have incorrect dates, indicating them to have been collected in July rather than June. The day of month and time (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are also marked with the correct 15-18th June 2006 dates. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-07-13T12:04:00", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, REFLECTANCE, BIG CROFT, CHILBOLTON, ASD", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-17T14:13:15", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12667, "dataPath": "/neodc/ncaveo_field/data/Field_spectra/BC_060618", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 676454, "numberOfFiles": 7, "fileFormat": "Data is in HDR, PDF and text formats. " }, "timePeriod": { "ob_id": 2257, "startTime": "2006-06-17T23:00:00", "endTime": "2006-06-17T23:00:00" }, "resultQuality": { "ob_id": 2122, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7889, "uuid": "704064f026ca4ac8b705e10bc677eb81", "short_code": "acq", "title": "Acquisition Process for: Data from Newcastle University ASD Field spectra N4406 at Big Croft field, near Chilbolton for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Newcastle University ASD Field spectra N4406; PLATFORMS: Big Croft field, near Chilbolton; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5124 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32442, 32447, 32441, 32444, 32445, 32446, 32448, 32443 ], "onlineresource_set": [ 6092 ] }, { "ob_id": 7890, "uuid": "b99744be18e0490634870c54e016797e", "title": "NCAVEO: ASD Field spectra N4406 data collected from Brockley field, near Chilbolton on the 15th June 2006", "abstract": "The reflectance spectra of the spring barley of field Brockley, near Chilbolton was collected as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. This dataset compromises the data which was collected on the 15th June. Measurements were also taken on the 18th at this location, the dataset record for which is available through linked documentation. Measurements were recorded using an ASD N4406 FieldSpec Pro, measurements having been taken at 5 flags within the field. After the exclusion of noisy bands, the spectra contains 1926 bands, covering the wavelengths 350-1354 nm, 1409-1811 nm and 1952-2496 nm. For further information on the processing of the raw data please see the dataset's metadata pdf in linked documentation. Please note that all raw spectra files collected during the NCAVEO campaign with ASD N4406 have incorrect dates. The laptop computer used with the ASD had the month accidently set to JULY instead of June. The DAY of month and TIME (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are marked with the correct 15-18th June 2006 dates. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-07-13T12:04:00", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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All the bands for the flag sites have been saved into an ENVI spectral library (‘BK_060615_abs_10’) and out from ENVI as a text file (‘BK_060615_abs_10.txt’). " }, "timePeriod": { "ob_id": 2258, "startTime": "2006-06-14T23:00:00", "endTime": "2006-06-17T23:00:00" }, "resultQuality": null, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7893, "uuid": "8c118cf88a264e3e9ac0cf7e24e74d88", "short_code": "acq", "title": "Acquisition Process for: Data from Newcastle University ASD Field spectra N4406 at Brockley field near Chilbolton for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Newcastle University ASD Field spectra N4406; PLATFORMS: Brockley field near Chilbolton; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5129 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32454, 32453, 32456, 32457, 32458, 32459, 32460, 32455 ], "onlineresource_set": [ 6272, 6271 ] }, { "ob_id": 7894, "uuid": "438e9986e8555bf0d79431a40e69c3a3", "title": "NCAVEO: Newcastle University ASD Field spectra data collected using instrument N4406 at Fairpiece field, near Chilbolton", "abstract": "This dataset includes reflectance spectra of Winter oats collected from Fairpiece field, near Chilbolton, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected on the 18th June, using an ASD N4406 instrument. For information on the data's processing please see the metadata PDF in linked documentation. \r\n\r\nPlease note that all raw spectra files collected during the NCAVEO campaign (labelled ***R_ASD0606**.***) have incorrect dates, indicating them to have been collected in July rather than June. The day of month and time (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are also marked with the correct 15-18th June 2006 dates.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-07-13T12:04:01", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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" }, "timePeriod": { "ob_id": 2259, "startTime": "2006-06-17T23:00:00", "endTime": "2006-06-17T23:00:00" }, "resultQuality": { "ob_id": 2124, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7897, "uuid": "050040871d7b42d09ec3bf1d66b0bbd3", "short_code": "acq", "title": "Acquisition Process for: Data from Newcastle University ASD Field spectra N4406 at Fairpiece field, near Chilbolton for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Newcastle University ASD Field spectra N4406; PLATFORMS: Fairpiece field, near Chilbolton; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5132 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32464, 32469, 32470, 32463, 32466, 32467, 32468, 32465 ], "onlineresource_set": [ 6096 ] }, { "ob_id": 7898, "uuid": "cfb8e91f227d260b0824b184c64a461b", "title": "NCAVEO: Newcastle University ASD Field spectra data collected with instrument N4406 at Rickyard field, near Chilbolton", "abstract": "This dataset includes reflectance spectra of Winter wheat collected from Rickyard field, near Chilbolton, as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The data was collected on the 18th June, using an ASD N4406 instrument. For information on the data's processing please see the metadata PDF in linked documentation.\r\n\r\nPlease note that all raw spectra files collected during the NCAVEO campaign (labelled ***R_ASD0606**.***) have incorrect dates, indicating them to have been collected in July rather than June. The day of month and time (UTC) are correct in all cases. All other files (FSF spreadsheets and Excel/ENVI summary outputs) are also marked with the correct 15-18th June 2006 dates.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-07-13T12:04:01", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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" }, "timePeriod": { "ob_id": 3410, "startTime": "2006-06-14T23:00:00", "endTime": "2006-06-17T23:00:00" }, "resultQuality": { "ob_id": 2125, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7901, "uuid": "4042b0b9846244deb7bd75121e98da93", "short_code": "acq", "title": "Acquisition Process for: Data from Newcastle University ASD Field spectra N4406 at Rickyard field, near Chilbolton for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Newcastle University ASD Field spectra N4406; PLATFORMS: Rickyard field, near Chilbolton; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [ 2 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. 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BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32474, 32479, 32480, 32473, 32476, 32477, 32478, 32475 ], "onlineresource_set": [ 6099 ] }, { "ob_id": 7902, "uuid": "6e13f25526b43af50a0bcd76c04438e6", "title": "NCAVEO: Sky conditions animation from Cowdown Farm, Hampshire, UK taken using a Hemispherical Camera Nikon Coolpix 995", "abstract": "This dataset consists of an animation of the sky conditions at Cowdown Farm, near Chilbolton, compiled from 40 photos taken over the ‘golden day’, 17th June 2006, as part of the Network for Calibration and Validation in Earth Observation 2006 experiment. 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CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32484, 32489, 32490, 32483, 32486, 32487, 32488, 32485 ], "onlineresource_set": [ 6104 ] }, { "ob_id": 7907, "uuid": "d5c7fb0cc068775323519f8358dd73f8", "title": "NCAVEO: Hemispherical photos taken using a Camera Nikon Coolpix 995 at Fairpiece field, near Chilbolton", "abstract": "A Hemispherical Camera (Nikon Coolpix 995) was used to take photographs at sites Harewood Forest, Rickyard and Fairpiece, Chilbolton, as part of the Network for Calibration and Validation in Earth Observation 2006 Field Campaign. This dataset consists of the 19 upward-looking photos taken at Fairpiece field on the 15th June 2006. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-03-05T14:58:03", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. 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For further information on the photos taken on each day please see the associated metadata PDF in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-03-05T14:57:03", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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" }, "timePeriod": { "ob_id": 3411, "startTime": "2006-06-14T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2128, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7912, "uuid": "bf684a04d48d4db7bdb80a6abf201111", "short_code": "acq", "title": "Acquisition Process for: Data from Hemispherical Camera Nikon Coolpix 995 at Rickyard field, near Chilbolton for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Hemispherical Camera Nikon Coolpix 995; PLATFORMS: Rickyard field, near Chilbolton; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5144 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32504, 32509, 32503, 32507, 32508, 32510, 32506, 32505 ], "onlineresource_set": [ 6107 ] }, { "ob_id": 7920, "uuid": "e157d540c4c8805cd3ca9786ff611959", "title": "NCAVEO: Leaf Area Index measurements for the fields Brockley, Big Croft and Rickyard, near Chilbolton, recorded using INRA's LAI-2000 plant canopy analyser", "abstract": "Leaf Area Index (LAI) measurements were made in three fields near Chilbolton, as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. Measurements were carried out over 14-15 June 2006 in fields Brockley (spring barley), Big Croft (oil seed rape) and Rickyard (winter wheat), each of which were planted with different crop types. LAI measurements were made with the LAI2000 instrument loaned from INRA, France (Inst. Ref: N4431), including shadow cap (180 degrees) and measurement configuration: one top of canopy reading (reading A in files) followed by one bottom of canopy (reading B in files).\r\n\r\nWithin the main sensor the LAI2000 instrument has five separate silicon detectors arranged in concentric rings. When radiation is projected onto the detector each ring sees a different range of zenith angles, up to a maximum 74º field of view. There is no response at zenith angles between 74º and 90º. The sensor is filtered to respond only to radiation below 490nm to minimise the impact of leaf reflectance and transmittance on measured values. The outputs of the five detectors were measured simultaneously for each above or below canopy measurement. Five sample points were located within tramlines in each field and five 10 metre long transects were then set-up, centred on each of these points. 10 measurements were made at each flag. For further details regarding the data's collection and structure, please see the associated metadata document in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-15T17:19:46", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-17T14:54:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 7921, "dataPath": "/neodc/ncaveo_field/data/LAI_LAI2000", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 100322, "numberOfFiles": 18, "fileFormat": "The data is in ASCII format, each file containing the data collected at one flag, as indicated by the four character code in the file name (e.g. ryrw). The first two letters indicate the field name, followed by the flag colour and crop type." }, "timePeriod": { "ob_id": 2266, "startTime": "2006-06-14T23:00:00", "endTime": "2006-06-14T23:00:00" }, "resultQuality": { "ob_id": 2131, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7922, "uuid": "32c455a297f14a01853dd347dfabcaef", "short_code": "acq", "title": "Acquisition Process for: NCAVEO: Leaf Area Index measurements for the fields Brockley, Big Croft and Rickyard, near Chilbolton, recorded using INRA's LAI-2000 plant canopy analyser", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: INRA - LAI-2000 plant canopy analyser; PLATFORMS: Big Croft field, near Chilbolton; Brockley field, near Chilbolton; Rickyard field, near Chilbolton. " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 84387 ], "vocabularyKeywords": [], "identifier_set": [ 5149 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32530, 32535, 32529, 32532, 32533, 32534, 32536, 32531 ], "onlineresource_set": [ 6213 ] }, { "ob_id": 7923, "uuid": "09e5a226db8df3dd0ddb83ee45b967cb", "title": "NCAVEO: Leaf Area Index measurements collected using a Delta-T SunScan at the Brockley, Rickyard and Fairpiece field sites near Chilbolton", "abstract": "Leaf Area Index (LAI) measurements were collected using a Delta-T SunScan as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. Data were collected from the following experiment fields: Rickyard (winter wheat), Fairpiece (winter oats) and Brockley (spring barley). The parameters required by the SunData program were set as follows:\r\n • Leaf Angle Distribution Parameter = 1.0\r\n • Leaf Absorption Parameter = 0.85\r\n\r\nFive sample points were located within tramlines in each field and their position determined using dGPS. Five 10 metre long transects were set-up, centred on each of these points and marked with coloured flags, marking the longitudinal extent of each Elementary Sampling Unit (ESU). The ‘width’ of the area sampled within the crop was determined by the reach of the instrument, around 1 metre. The geographic co-ordinates in the data file have been calculated to allow for the offset of sample measurements from the tramlines, and these should be taken as the definitive locations of the individual samples. SunScan measurements were made every metre along a 30 m transect, the central 10 m length of which coincided with the area between the coloured flags. Each of the extended ESUs was sampled in the same order in each field: Red, Green, Blue, Yellow, White flag, following a path along the tramlines shown in Figure 1. This gave a total of 165 LAI measurements per field. The geographic co-ordinates of each measurement were recorded and represented alongside the measured variables. \r\n\r\nFor further details see the dataset's metadata document in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-11T11:51:15", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, LAI, DELTA-T SUNSCAN, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-17T15:10:13", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12739, "dataPath": "/neodc/ncaveo_field/data/LAI_SunScan", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 583234, "numberOfFiles": 6, "fileFormat": "Data are NASA-Ames formatted" }, "timePeriod": { "ob_id": 2267, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2132, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7926, "uuid": "abdce52a074e43a38eb378271802e481", "short_code": "acq", "title": "Acquisition Process for: NCAVEO: Leaf Area Index measurements collected using a Delta-T SunScan at the Brockley, Rickyard and Fairpiece field sites near Chilbolton", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Delta-T SunScan canopy gap fraction measurement device; PLATFORMS: Brockley field near Chilbolton; Rickyard field near Chilbolton; Fairpiece field near Chilbolton. " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 83088 ], "vocabularyKeywords": [], "identifier_set": [ 5150 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32538, 32543, 32537, 32540, 32541, 32542, 32544, 32539 ], "onlineresource_set": [ 6225 ] }, { "ob_id": 7941, "uuid": "41a8097a36a2c26b316952bbec60b695", "title": "NCAVEO: Microtops II sun photometer data from the Cowdown Farm, Hampshire Golf club and Chilbolton Observatory field sites, Hampshire, UK", "abstract": "Sunphotometer data was collected on 17th June 2006 using three identical Microtops II instruments, as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 field experiment. The instruments were operated at three locations near Chilbolton: the roof of Chilbolton Facility for Atmospheric and Radio Research's (CFARR) main building, the Hampshire Golf Club and Cowdown Farm. \r\n\r\nOn using the three instruments together on the roof of the CFARR main building, results showed differences between the three instruments, with data from s/n 8407 being closest to that measured by the Cimel sunphotometer at the same location. Note that the date of s/n 8407 was set incorrectly to 2005, but has been corrected in the NASA Ames formatted file. This should not affect the data collected. The same instrument also did not record the water vapour amount, so this is shown as -999.0 in the data file. On the ‘golden day’, 17th June 2006, measurements were made with all three instruments every five minutes between 09:30 and 11:30 GMT. Sporadic measurements were also made at earlier and later times. The s/n 8407 did not make a reading at 11.15 as anticipated. A large number of parameters and calibration constants were used to achieve these readings and are included alongside the main data. For further information please refer to the Microtops II User’s Guide.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-22T14:08:12", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, SUN PHOTOMETER, CHILBOLTON, MICROTOPS II", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-17T15:17:57", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12740, "dataPath": "/neodc/ncaveo_field/data/Microtops", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 155834, "numberOfFiles": 6, "fileFormat": "Data are NASA-Ames formatted" }, "timePeriod": { "ob_id": 2272, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2137, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7943, "uuid": "f801ba699c3f42a0a190e093533a75d4", "short_code": "acq", "title": "Acquisition Process for: Data from Microtops II sunphotometer at Cowdown Farm, Hampshire, UK for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Microtops II sunphotometer; PLATFORMS: Cowdown Farm, Hampshire, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 86151 ], "vocabularyKeywords": [], "identifier_set": [ 5161 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32584, 32589, 32583, 32586, 32587, 32588, 32590, 32585 ], "onlineresource_set": [ 6255 ] }, { "ob_id": 7944, "uuid": "1d1d1e4348d12d6d60bd259e477140ec", "title": "NCAVEO: ARSF Specim AISA Eagle Level 1b data collected on board the Dornier Do228-101 D-CALM aircraft", "abstract": "As part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign, hyperspectral measurements were collected over the study area of Shrewsbury on 17th June 2006. The measurements were recorded using a Specim Airborne Hyperspectral Imaging Systems (AISA) Eagle sensor on board a Dornier 228 aircraft operated by the Natural Environment Research Council (NERC) Airborne Research and Survey Facility (ARSF). The Eagle is a 12 bit, pushbroom, hyperspectral sensor. It covers the visible and near infra-red spectrum 400 - 970nm, has a 1000 pixel swath width and a maximum spectral resolution of 2.9nm. This dataset compromises the level 1b data which was collected by the instrument. The data was collected between 10:40 am and 12:01 pm GMT. 8 flightlines of data were acquired: 7 flown in a NW-SE azimuth and one cross-cutting flightline (08), in a SW-NE direction. A link to the record page for the level 3a dataset and CASI-2 data collected during the flight are also available in linked documentation.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-06-16T18:06:44", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, ARSF, AISA EAGLE, DORNIER, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-09-26T09:13:22", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 7945, "dataPath": "/neodc/ncaveo_field/data/arsf/eagleL1b", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 35203686619, "numberOfFiles": 28, "fileFormat": "Data are in BIL, HDR and HDF format. " }, "timePeriod": { "ob_id": 2273, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2138, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7947, "uuid": "0c1f3f78a7d2469d938436a844ec70f6", "short_code": "acq", "title": "Acquisition Process for: Data from ARSF Specim AISA Eagle at Dornier Do228-101 D-CALM for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF Specim AISA Eagle; PLATFORMS: Dornier Do228-101 D-CALM; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64846 ], "vocabularyKeywords": [], "identifier_set": [ 5162 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32592, 32597, 32594, 32595, 32596, 32598, 32591, 32593 ], "onlineresource_set": [ 6266, 6267, 6268, 6300, 6306, 6307 ] }, { "ob_id": 7948, "uuid": "dc5ea1432109e9289998843260e69a4f", "title": "NCAVEO: Hemispherical photos taken using a Camera Nikon Coolpix 995 at Harewood forest, near Chilbolton", "abstract": "A Hemispherical Camera (Nikon Coolpix 995) was used to take photographs at sites Harewood Forest, Rickyard and Fairpiece, Chilbolton, as part of the Network for Calibration and Validation in Earth Observation 2006 Field Campaign. This dataset consists of the 18 photos taken at Fairpiece field on the 16th June 2006, most of which are upward-looking. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-03-05T14:58:31", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, IMAGERY, HAREWOOD, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-09-26T10:56:59", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12679, "dataPath": "/neodc/ncaveo_field/data/Hemispherical_photos/Hemispherical_photos/Harewood_Forest", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 13909657, "numberOfFiles": 20, "fileFormat": "JPG format" }, "timePeriod": { "ob_id": 2274, "startTime": "2006-06-15T23:00:00", "endTime": "2006-06-15T23:00:00" }, "resultQuality": { "ob_id": 2139, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7951, "uuid": "47287f37a41a41de9ca7d91579f274b1", "short_code": "acq", "title": "Acquisition Process for: Data from Hemispherical Camera Nikon Coolpix 995 at Harewood Forest, UK for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Hemispherical Camera Nikon Coolpix 995; PLATFORMS: Harewood Forest, UK; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5165 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32602, 32607, 32601, 32604, 32605, 32606, 32608, 32603 ], "onlineresource_set": [ 6106 ] }, { "ob_id": 7952, "uuid": "63a8cb9f59cfa7c1a99ad9fb3ca0d7fc", "title": "NCAVEO: Delta-T Devices Ltd BF2 sunshine sensor data\r\n\r\n", "abstract": "A Delta-T BF2 Sunshine Sensor was used to measure the total and diffuse sky irradiance every minute from 10:30 to 13:00 hours on the 17th June 2006, as part of the Network for Calibration and Validation of EO data 2006 Field Campaign. 150 readings were produced in total. The direct energy of the sun on the instrument is calculated from the differences between the total energy and diffuse component recorded simultaneously. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-15T12:08:48", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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" }, "timePeriod": { "ob_id": 2275, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2140, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7955, "uuid": "baad35e3beb94c3ab1a717b8c9de7ec0", "short_code": "acq", "title": "Acquisition Process for: Data from Delta-T Devices Ltd BF2 sunshine sensor for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Delta-T Devices Ltd BF2 sunshine sensor; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 86156 ], "vocabularyKeywords": [], "identifier_set": [ 5168 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32612, 32617, 32611, 32615, 32616, 32618, 32614, 32613 ], "onlineresource_set": [ 6081 ] }, { "ob_id": 7956, "uuid": "f5a94faab12bf906a4bc964a1e3c89f2", "title": "NCAVEO: SPAD-502 chlorophyll meter data collected at Brockley field near Chilbolton", "abstract": "This dataset compromises chlorophyll data, which was collected using a Special Products Analysis Division (SPAD) 502 chorophyll meter, as part of the Network for Calibration and Validation of EO data 2006 Field Campaign. The estimates of chlorophyll amount were taken for the spring barley crop in Brockley field, near Chilbolton, this having been the only available field without seed heads and subsequently appropriate for measurements to be taken from. The numerical SPAD value is proportional to the amount of chlorophyll within the leaf, but a calibration equation for Spring Barley is required to convert these values into chlorophyll concentration. Each SPAD value in the file is an average of 10 values which were measured within 10 metres of the flag. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-20T16:22:28", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, CHLOROPHYLL, BROCKLEY, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-09-26T08:57:17", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12660, "dataPath": "/neodc/ncaveo_field/data/Chlorophyll", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 23233, "numberOfFiles": 4, "fileFormat": "Data is in ASCII format." }, "timePeriod": { "ob_id": 2276, "startTime": "2006-06-12T23:00:00", "endTime": "2006-06-12T23:00:00" }, "resultQuality": { "ob_id": 2141, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7959, "uuid": "dc81e35ff2e1411c871e89347b582515", "short_code": "acq", "title": "Acquisition Process for: Data from SPAD-502 chlorophyll meter at Brockley field near Chilbolton for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: SPAD-502 chlorophyll meter; PLATFORMS: Brockley field near Chilbolton; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 82939 ], "vocabularyKeywords": [], "identifier_set": [ 5171 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32622, 32627, 32621, 32624, 32625, 32626, 32628, 32623 ], "onlineresource_set": [ 6082 ] }, { "ob_id": 7960, "uuid": "fd32c8a2bb63bc4e1601985858404032", "title": "NCAVEO: Aerial Optical Thickness (AOT) data collected using a Cimel CE318-2™ sun photometer at Chilbolton", "abstract": "This dataset contains Aerosol Optical Thickness (AOT) data, collected at Chilbolton Facility for Atmospheric and Radio Research as part of the Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. Measurements were taken every 15 minutes using a Cimel CE318-2™ sun photometer, which is part of AERONET. For more information on the dataset please see the dataset's metadata file in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-14T15:13:31", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, AOT, CIMEL, PHOTOMETER, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-09-26T09:03:04", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12662, "dataPath": "/neodc/ncaveo_field/data/Cimel", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 65942, "numberOfFiles": 5, "fileFormat": "Data is in GIF format. " }, "timePeriod": { "ob_id": 2277, "startTime": "2006-06-15T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2142, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7963, "uuid": "a7ad80bf417a4ea49c045a491b552854", "short_code": "acq", "title": "Acquisition Process for: Data from Cimel CE318-2™ sun photometer for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Cimel CE318-2™ sun photometer; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5174 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32632, 32631, 32637, 32638, 32634, 32635, 32636, 32633 ], "onlineresource_set": [ 6084, 6134 ] }, { "ob_id": 7964, "uuid": "3d3cdd14cc2a6e299eb975538301365a", "title": "NCAVEO: Intergraph Z/I Imagery collected using a Digital Mapping Camera (DMC) during a flight by an Ordnance Survey aircraft at Chilbolton", "abstract": "As part of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO), an Intergraph Z/I Imaging Digital Mapping Camera (DMC) was used to collect data in 4 spectral bands in the visible and near infrared, at a nominal ground resolution of 65cm. The Chilbolton site was flown over on the 9th June 2006 by the Ordnance Survey, resulting in 84 strips captured over the Area of Interest (2048 x 3072) with 60% overlap along the track. The data was orthorectified to the British National Grid using photogrammetric methods.\r\n\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-09-09T15:14:08", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, INTERGRAPH IMAGERY, DMC, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-09-26T10:34:40", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12685, "dataPath": "/neodc/ncaveo_field/data/Ordnance_Survey_DMC", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4634891575, "numberOfFiles": 171, "fileFormat": "Images are BSQ AND HDR files in ENVI format, with file names formatted as follows:\r\n‘instrument_location_YYYYMMDD_tracknumber_imagenumber_o(orthorectified)_version’" }, "timePeriod": { "ob_id": 2278, "startTime": "2006-06-08T23:00:00", "endTime": "2006-06-08T23:00:00" }, "resultQuality": { "ob_id": 2143, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7969, "uuid": "fc7a27f2fd1c4365b80c64f247d1c786", "short_code": "acq", "title": "Acquisition Process for: Data from Intergraph Z/I Imaging Digital Mapping Camera (DMC) at Ordnance Survey Aircraft for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Intergraph Z/I Imaging Digital Mapping Camera (DMC); PLATFORMS: Ordnance Survey Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5177 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32642, 32647, 32648, 32641, 32644, 32645, 32646, 32643 ], "onlineresource_set": [ 6125 ] }, { "ob_id": 7970, "uuid": "16e747e3eaac76de08043d4c1b8d32da", "title": "NCAVEO: Atmospheric water data profile version 1.0, collected using an UV Raman LiDAR at Chilbolton Facility for Atmospheric and Radio research", "abstract": "An atmospheric water vapour profile was recorded using a UV Raman LiDAR located at Chilbolton Facility for Atmospheric and Radio Research (CFARR), during the Network for Calibration and Validation of EO data (NCAVEO) 2006 Experiment. The profile was recorded on 16th June 2006, one day before the ‘golden day’. The ground-based Raman LiDAR system at the CFARR transmits a high power Nd:YAG pulse laser beam vertically into the atmosphere at 355 nm wavelength. The LiDAR measures both elastic backscattering and water vapour profiles in the troposphere. Inelastic scattering of the laser radiation by molecules in the atmosphere, termed Raman scattering, is used to determine the atmospheric water vapour and temperature profiles. This dataset contains data for the raw (20s/7.5m) and processed (5min/22.5m) data in separate files. For further information on the parameters used during the data collection and the data's file format please see the dataset's metadata document in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-08-20T10:20:50", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, WATER PROFILE, LIDAR, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-09-26T09:10:17", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12692, "dataPath": "/neodc/ncaveo_field/data/cfarr-lidar-uv", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 6411788, "numberOfFiles": 11, "fileFormat": "Raw and processed data are in separate NetCDF files, accessible using HDFView, a visual software tool that can be freely downloaded from http://www.hdfgroup.org/products/java/hdfview/. 2 images providing quick examples of the data are also available in JPG format. " }, "timePeriod": { "ob_id": 2279, "startTime": "2006-06-15T23:00:00", "endTime": "2006-06-15T23:00:00" }, "resultQuality": { "ob_id": 2144, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7973, "uuid": "592baed502c94203adce215790cbaf14", "short_code": "acq", "title": "Acquisition Process for: Data from UV Raman LiDAR for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: UV Raman LiDAR; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 54654, 54655, 54656, 54657, 54658, 54659, 54660, 54661, 54662, 54664, 54665, 54666, 54667, 55839, 55840, 55841, 55842, 55843, 55844, 55845 ], "vocabularyKeywords": [], "identifier_set": [ 5182 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32654, 32659, 32653, 32656, 32657, 32658, 32660, 32655 ], "onlineresource_set": [ 6130, 6205 ] }, { "ob_id": 7974, "uuid": "dae0e67b8f878bc03cefb59c4acac33b", "title": "NCAVEO: Version 1 of ground data collected during Chilbolton reconnaissance survey for Land Cover Map 2007", "abstract": "As part of the Centre for Ecology and Hydrology Land Cover 2007 Pilot Project, a reconnaissance survey was undertaken on 12th May 2006 in a 60 x 60 km area (bounded by Ordnance Survey National Grid Reference X = 400000 to 460000, Y = 095000 to 155000) which included the Network for Calibration and Validation in Earth Observation (NCAVEO) test site. A recording tablet device was used for acquiring ground data for sample points in the defined area.\r\n\r\nThe dataset consists of an ESRI shape file of point data, containing all the points recorded on a tablet device. Each point has a British National Grid X and Y co-ordinate and a class code. The dataset has not been checked or edited yet and a few of the records will be erroneous. The most obvious errors will be two or more points with identical locations but different codes, the final code will be the correct one. Some of the points for Salisbury Plain lie just outside the test area boundaries. A key to abbreviations used for field recording is also included and a list of thematic land cover classes and their codes to aid field reconnaissance, as used for Land Cover Map 2000. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-09-11T16:50:08", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, LANDCOVER MAP, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-10-07T14:48:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12681, "dataPath": "/neodc/ncaveo_field/data/Land_cover", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 4585487, "numberOfFiles": 40, "fileFormat": "All data is in ESRI shape file format, compatible in GIS software packages such as ArcGIS. PDF files are also included providing the name and crop type for the northern and southern areas of the Chilbolton validation site. " }, "timePeriod": { "ob_id": 2280, "startTime": "2006-05-11T23:00:00", "endTime": "2006-05-11T23:00:00" }, "resultQuality": { "ob_id": 2145, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7977, "uuid": "0989d99496a94821b4180a1eb322592d", "short_code": "acq", "title": "Acquisition Process for: Data from CEH Land Cover Reconnaissance Survey for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: CEH Land Cover Reconnaissance Survey; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5185 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32664, 32669, 32666, 32667, 32668, 32670, 32663, 32665 ], "onlineresource_set": [ 6108, 6109, 6201 ] }, { "ob_id": 7978, "uuid": "d1880f3e928c223596160940f9b14582", "title": "NCAVEO: Multi-angle sky spectra collected using a sky irradiance scanner", "abstract": "This dataset compromises measurements of the angular distribution of spectral sky radiance (400-1000nm), collected as part of the Network for Calibration and Validation of Earth Observation (NCAVEO) 2006 Field Campaign. Measurements were taken at frequent intervals on the 17th June 2006 using a new instrument designed by Andrew McGonigle. The instrument is based on a temperature-stabilised miniature spectroradiometer interfaced to a telescope that can be programmed to make zenithal scans of sky irradiance. Azimuthal motion of the whole instrument was provided by manual adjustment. A sampling interval of 18° in zenith and 30° in azimuth was used. All data were collected when the spectrometer was thermally stabilised to the same temperature (approximately 7.5°C).\r\n\r\nEach sample of the sky irradiance distribution comprised two scans: one of the whole sky, and then a\r\nsecond low-gain scan shortly afterwards, concentrating just on the region around the Sun. Scans were repeated twice, with different integration times to allow for the extreme differences in brightness of the Sun and the sky. For further information and details on the structure of the files see the dataset's metadata PDF in linked documentation. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-10-08T12:04:06", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, SKY SPECTRA, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-10-07T15:23:26", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12691, "dataPath": "/neodc/ncaveo_field/data/Sky_spectra/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 38168528, "numberOfFiles": 201, "fileFormat": "Images are in HDR format " }, "timePeriod": { "ob_id": 2281, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2146, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7981, "uuid": "486d24994042485b9e91d928d17e9115", "short_code": "acq", "title": "Acquisition Process for: Data from sky irradiance scanner for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: sky irradiance scanner; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5187 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32674, 32679, 32673, 32676, 32677, 32678, 32680, 32675 ], "onlineresource_set": [ 6129, 6204 ] }, { "ob_id": 7982, "uuid": "4d140042a552972ed550f394098b426a", "title": "NCAVEO: River channel survey data collected on the River Test at Chilbolton Cow Common", "abstract": "The Network for Calibration and Validation of EO data (NCAVEO) ground data collection programme included a series of transects on the River Test at Chilbolton Cow Common, an area of semi-natural wet grassland. The river survey was carried out on the 16th June between 11:15 and 13:15 at site Chilbolton 1 and 15:30-17:00 at Chilbolton 2, the day before the ‘golden day’ on which the airborne data were collected by the Environment Agency / Natural Environment Research Council (NERC).\r\n\r\nThe sampling strategy used was based on the desire to capture; (1) data over the range of water depths, (2) a dense and extensive sample of data to allow for bathymetric modelling of the river regions and (3) data over a broad range of substrate types to represent all varieties within the study region (e.g. from marginal vegetation to silts and to gravels). The variables recorded included: Easting; Northing; Water depth (cm); Depth to bed (cm); Surface velocity (m/s); Dominant substrate. Surface velocity was measured using a Valeport uni-directional electro-magnetic current meter (Valeport Ltd.). For more information on the collection and processing of the data please see the dataset's metadata document, in linked documentation. A video of David Spear describing the survey is available also included in the directory. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-10-08T12:04:22", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 85563 ], "vocabularyKeywords": [], "identifier_set": [ 5190 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32684, 32689, 32686, 32687, 32688, 32690, 32683, 32685 ], "onlineresource_set": [ 6126 ] }, { "ob_id": 7987, "uuid": "8097295108f53bdc8242bb6c6f8f65f6", "title": "NCAVEO: Concrete calibration site spectra collected at the Chilbolton Facility for Atmospheric and Radio Research (CFARR) using a GER3700 Spectroradiometer", "abstract": "Reflectance data were acquired from a fixed tripod near the north-east corner of a concrete calibration site at the Chilbolton Facility for Atmospheric and Radio Research (CFARR), as part of the Network for Calibration and Validation of Earth Observation data (NCAVEO) 2006 Field Campaign. The data was collected on the 17th June 2006 using a single beam GER3700 spectroradiometer. The nominal field-of view of the instrument was 3°, and it was mounted 1 metre above the surface. ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2009-08-06T09:12:30", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. 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Photographs of the GER3700 and the calibration site are also included as JPG files. " }, "timePeriod": { "ob_id": 2283, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2148, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7990, "uuid": "3f0bf75e6f924d71ac3375cd633c62a3", "short_code": "acq", "title": "Acquisition Process for: Data from GER3700 Spectroradiometer for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: GER3700 Spectroradiometer; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 84669 ], "vocabularyKeywords": [], "identifier_set": [ 5195 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32696, 32701, 32695, 32698, 32699, 32700, 32702, 32697 ], "onlineresource_set": [ 6103 ] }, { "ob_id": 7991, "uuid": "ec54aec922960e88c3d044b3d1c49e77", "title": "NCAVEO: GER1500 spectroradiometer asphalt reflectance spectra collected from the asphalt car park at the Chilbolton Facility for Atmospheric and Radio Research (CFARR)", "abstract": "An area of asphalt, approximately 3m by 3m in size, within the CFARR perimeter was used as a persistent validation target and frequent reflectance measurements made as part of the (Network for Calibration and Validation of EO data (NCAVEO) 2006 Field Campaign. The centre British National Grid co-ordinates of this validation target, which can be distinguished in the CASI images, are (BNG Easting, BNG Northing) 439335.00, 138586.00. A trolley-mounted GER1500 dual field-of-view spectroradiometer was used to measure the HCRF of the asphalt validation target between 10:54 and 11:38 GMT on the 17th June. \r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-09-12T14:33:52", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "NCAVEO, SPECTRORADIOMETER, ASPHALT, REFLECTANCE, CHILBOLTON", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-10-08T13:42:21", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12672, "dataPath": "/neodc/ncaveo_field/data/Field_spectra/Asphalt_Spectra", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 389078, "numberOfFiles": 6, "fileFormat": "Spectra data is in SPC and HDR format, and can be viewed in ENVI. A photograph is also available in JPG format showing the dual field-of-view GER1500 being prepared for data collection. " }, "timePeriod": { "ob_id": 2284, "startTime": "2006-06-16T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2149, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7994, "uuid": "83bce16f49f54c79bd8ea483c4c74c1e", "short_code": "acq", "title": "Acquisition Process for: Data from GER1500 spectroradiometer for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: GER1500 spectroradiometer; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5198 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32706, 32711, 32705, 32708, 32709, 32710, 32712, 32707 ], "onlineresource_set": [ 6102 ] }, { "ob_id": 7995, "uuid": "8c05f529402fc0fbbb57bbc01c5641c8", "title": "NCAVEO: NERC Field Spectroscopy Facility (FSF) Soil Reflectance data collected using an ASD FieldSpec Pro at Brockley field, near Chilbolton", "abstract": "Spectra measurements were collected for a patch of bare soil at the northern corner of Brockley field, near Chilbolton, to establish the field's typical soil background reflectance. The measurements were recorded on the 18th June 2006 as part of the Network for Calibration and Validation of Earth Observation (NCAVEO) 2006 Field Campaign. An ASD Fieldspec Pro Instrument (FR Unit No. 6408, NCAVEO Code N4406), owned by Newcastle University, was used with an 8° FOV foreoptic. All measurements were collected using a 1.5m extension probe from a height of ~1.35 metres above the ground, with the foreoptic positioned approximately 1.5m from the tramline, in a vertical plane unless stated otherwise. At each pair of coloured flags 11 sets of panel/target measurements were taken at approximately 1 metre intervals moving from left [01] to right [11] facing from the tramline towards the crop. 30 samples were averaged per data point. Times recorded are UTC (GPS time). ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-09-11T16:50:08", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC by university of Southampton, who carried out work to convert formats to NASA-Ames, and write metadata documents. The metadata documents describing the processing are archived alongside the data as PDF files.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2008-10-08T13:43:09", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 172, "bboxName": "", "eastBoundLongitude": -1.3859, "westBoundLongitude": -1.4718, "southBoundLatitude": 51.1217, "northBoundLatitude": 51.2026 }, "verticalExtent": null, "result_field": { "ob_id": 12671, "dataPath": "/neodc/ncaveo_field/data/Field_spectra/Soil_Spectra", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 315787, "numberOfFiles": 6, "fileFormat": "The spectra are in HDR and SPC format, and are ENVI compatible. A plot of the spectra with 'noisy' wavelengths removed is also included in JPG format and a log sheet of the data collection in a PDF file. " }, "timePeriod": { "ob_id": 2285, "startTime": "2006-06-15T23:00:00", "endTime": "2006-06-16T23:00:00" }, "resultQuality": { "ob_id": 2150, "explanation": "Mostly unknown, but some quality statements are provided in metadata files archived alongside the data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 7997, "uuid": "a3ca4905df4c49d89598904dec1ba9bc", "short_code": "acq", "title": "Acquisition Process for: Data from FSF ASD FieldSpec Pro for the NCAVEO - Network for Calibration and Validation of EO data Campaign", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: FSF ASD FieldSpec Pro; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 7827, "uuid": "97acc31e1530599d27c36d1e62afacab", "short_code": "proj", "title": "NCAVEO - Network for Calibration and Validation of EO data", "abstract": "The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The network currently comprises over 20 groups active in Earth observation in the UK, drawn from universities, government and the commercial sector." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5201 ], "observationcollection_set": [ { "ob_id": 7824, "uuid": "3013f5fdcb544848bb028cb1a31178e9", "short_code": "coll", "title": "NCAVEO: Calibration and Validation Field Experiment: Aircraft and Ground Spectral Measurements, Atmospheric and Biophysical Data Collection", "abstract": "In June 2006 the NERC-funded Network for Calibration and Validation of EO data (NCAVEO) organised a cal-val field experiment in Chilbolton, north Hampshire involving 48 scientists from 20 organisations (click for list). The aim was to undertake a validation exercise based on the protocols and methods developed by the Validation of Land European Remote Sensing Instruments (VALERI) project, but modified as necessary for UK conditions. The experiment is a scoping exercise for the establishment of one or more VALERI sites in the UK as well as an opportunity to learn and share best practice amongst NCAVEO partners and the wider community.\r\n\r\nThe initial plan was to base the experiment at the Barton Bendish test site in East Anglia, but the absence of on-site instrumentation coupled with uncertainty about access to this site and its distance from the main research groups led to a search for other suitable sites. The one chosen was centred on the Services and Technology Facilities Council Chilbolton Facility for Atmospheric and Radio Research (CFARR), approximately 45 km north of Southampton (Figure 1). CFARR comprises a number of state-of-the-art instruments for measuring atmospheric properties, including the 25 metre diameter Chilbolton dish, a 3 GHz doppler-polarisation radar, 1275 MHz clear air radar and a UV vertical sounding LiDAR In addition, the site has a full suite of continuously operating meteorological instruments.\r\n\r\nDatasets collected include Digi HRG data, remotely sensed data from 2 aircrafts, ground spectral data , atmospheric data, biophysical data, and fluvial geomorphological data.\r\n" }, { "ob_id": 30128, "uuid": "7fe9f59731ab47b6a20e792e0cba4641", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) partnered datasets", "abstract": "The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows:\r\n\r\nThe European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers.\r\n\r\nThe EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques.\r\n\r\nFIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. \r\n\r\nThe “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity.\r\n\r\nThe UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. \r\n\r\nThe Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies.\r\n\r\nGloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions.\r\n\r\nThis SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM)." } ], "responsiblepartyinfo_set": [ 32716, 32721, 32715, 32719, 32720, 32722, 32718, 32717 ], "onlineresource_set": [ 6101 ] }, { "ob_id": 7999, "uuid": "2e9b9a859b7fcf674b5ae7fc9da3c00e", "title": "ARC: Level 3 daily sea surface temperature data v1.0", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy.\r\n\r\nThis dataset contains version 1.0 of the Level 3 sea surface temperature data product produced by the ARC project team.\r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-09-05T11:59:19", "updateFrequency": "notPlanned", "dataLineage": "ARC data is derived from the aatsr_multimission dataset held at the NEODC. ARC also uses UKMO Buoy data to provide ground calibration data (GHRSST). Data was supplied to the NEODC by Owen Embury at the University of Edinburgh.", "removedDataReason": "", "keywords": "ARC, Sea Surface Temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-05-11T11:12:14", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8000, "dataPath": "/neodc/arc/data/l3/v1.0", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 156768041712, "numberOfFiles": 43625, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2286, "startTime": "1991-07-31T23:00:00", "endTime": "2009-12-31T00:00:00" }, "resultQuality": { "ob_id": 2151, "explanation": "ARC data is reprocessed (A)ATSR series data with the intention of providing better constrained SST estimates than the original ESA SSE AATSR product. ARC data incorporates improved algorithms for estimation of SST using ground based in -situ SST measurements (GHRSST) and estimation of air column Saharan dust content.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8007, "uuid": "8c8dc4843edd4d5aafc2c8c2cbc8f620", "short_code": "cmppr", "title": "Composite Process for: ARC v1 Level 3 daily SST data", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ARC v1 Level 3 daily SST data; \n2. Computation: ARC processor deployed on unknown computer; \n" }, "imageDetails": [ 114 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1141, "name": "NDGO0001" } ], "permissions": [ { "ob_id": 2526, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 8001, "uuid": "1d61e03d77f3366243db453a23659e1f", "short_code": "proj", "title": "ARC Project", "abstract": "The AATSR Reprocessing for Climate (ARC) project consists of Advanced Along-Track Scanning Radiometer multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy. " } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5204 ], "observationcollection_set": [ { "ob_id": 7998, "uuid": "ff8a7f27b827c108dd9756adffaaa942", "short_code": "coll", "title": "Advanced Along-Track Scanning Radiometer (AATSR) Re-processing for Climate (ARC) Dataset of Sea Surface Temperature Retrievals", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy. ARC reprocesses the ATSR1, ATSR2 and AATSR data using new cloud detection and SST retrievals. \r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade. \r\n\r\nThe Level 3 ARC data products are available for ATSR1, ATSR2 and AATSR and in the version 1 release are currently available from 1991 to 2009, producing a homogeneous record of sea surface temperature for this period. Version 1.1 data are available. The previous version 1 data continues to be available. The ARC project was led by Chris Merchant of the University of Edinburgh/NCEO and funded by NERC and the UK Government." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 32734, 32739, 32733, 32736, 32737, 32738, 32740, 32735 ], "onlineresource_set": [] }, { "ob_id": 8008, "uuid": "e6497acddf9cd8345ffbd0643c0d9729", "title": "ARC: Level 3 daily sea surface temperature data v1.1", "abstract": "The AATSR Reprocessing for Climate (ARC) dataset consists of Advanced Along-Track Scanning Radiometer (AATSR) multimission data which has been reprocessed using various algorithms and in-situ contemporaneous measurements, to provide update retrievals of Sea Surface Temperature (SST) and assess their accuracy.\r\n\r\nThis dataset contains version 1.1 of the Level 3 sea surface temperature data product produced by the ARC project team.\r\n\r\nThe main ARC objective was to reduce regional biases in retrieved sea surface temperature (SST) to less than 0.1 K for all global oceans while creating a very homogeneous record with a stability (lack of drift in the observing system and analysis) of 0.05 K decade.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-03-15T14:20:00", "updateFrequency": "notPlanned", "dataLineage": "ARC data is derived from the aatsr_multimission dataset held at the NEODC. ARC also uses UKMO Buoy data to provide ground calibration data (GHRSST). 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The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 32832, 32835, 32836, 44778, 44780, 32834, 32833, 44779 ], "onlineresource_set": [ 3725, 3726, 3727, 3728, 3724 ] }, { "ob_id": 8051, "uuid": "4b0ed418e30819e4448dc89a27dc8388", "title": "GetMapping 2m resolution Digital Surface Model (DSM) for Scotland and Wales", "abstract": "A 2m resolution Digital Surface Model (DSM) for Scotland and Wales photogrammetrically derived from aerial photography by GetMapping and acquired by the Landmap project. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was elevation data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. 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After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5234 ], "observationcollection_set": [ { "ob_id": 8041, "uuid": "f5d48fb0372be25b737f92976e386f53", "short_code": "coll", "title": "Landmap: Elevation Earth Observation Collection", "abstract": "The elevation data collected by the Landmap project consist of a 5m resolution Digital Terrain Model (DTM) for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 32839, 32841, 32842, 32843, 42015, 42017, 32840, 42016 ], "onlineresource_set": [ 3731, 3732, 3733, 3734, 3730 ] }, { "ob_id": 8053, "uuid": "acfa8955414aef710105ef640802b9aa", "title": "1m resolution LiDAR-derived Digital Terrain/Surface Models (DTMs/DSMs) for cities of England and Scotland", "abstract": "Light Detection and Ranging (LiDAR) data was collected by The Geoinformation Group using LiDAR-equipped survey aircraft for the main urban conurbations of England and Wales (including London, Manchester, Birmingham, Liverpool, Newcastle, Edinburgh and Glasgow) as part of the Cities Revealed project, and made available through the Landmap service. The GeoInformation Group (TGG) has processed the data so that they are available as Digital Terrain Models (ground surface only) and Digital Surface/Elevation Models (the ground and all features on it), both geographic databases with height and surface measurement information in the form of regular grids with intervals of 1 or 2 m. In addition, some First Pass and Last Pass data are available. The First Pass data provides height values for the top of the canopy (i.e. buildings, trees etc.) while the Last Pulse data provides height values for the bottom of the canopy and provides information about the shape of the terrain. The data are available in img format. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was elevation data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using the data please also add the following copyright statement: Cities Revealed © The GeoInformation Group yyyy", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-22T07:14:15", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "Landmap, LIDAR", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-15T14:48:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 176, "bboxName": "", "eastBoundLongitude": 1.4, "westBoundLongitude": -3.1, "southBoundLatitude": 51.1, "northBoundLatitude": 56.5 }, "verticalExtent": null, "result_field": { "ob_id": 8054, "dataPath": "/neodc/landmap/data/elevation/lidar", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 76001174622, "numberOfFiles": 954, "fileFormat": "Data are img formatted" }, "timePeriod": { "ob_id": 2305, "startTime": "2005-01-01T00:00:00", "endTime": "2007-12-31T00:00:00" }, "resultQuality": { "ob_id": 2161, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8058, "uuid": "b5bfecaf59334eb0aa22db4e4769071b", "short_code": "acq", "title": "Acquisition Process for: 1m resolution LiDAR-derived Digital Terrain/Surface Models (DTMs/DSMs) for cities of England and Scotland", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: UNDEFINED instrument associated with platform: The Geoinformation Group (TGG) Survey Aircraft; PLATFORMS: The Geoinformation Group (TGG) Survey Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5235 ], "observationcollection_set": [ { "ob_id": 8041, "uuid": "f5d48fb0372be25b737f92976e386f53", "short_code": "coll", "title": "Landmap: Elevation Earth Observation Collection", "abstract": "The elevation data collected by the Landmap project consist of a 5m resolution Digital Terrain Model (DTM) for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 32846, 32848, 32849, 32850, 40997, 43263, 108861, 32847, 43264 ], "onlineresource_set": [ 3738, 3737, 3736, 3739, 3740, 3741, 7870 ] }, { "ob_id": 8060, "uuid": "9a41a2e3e0a9e52f24a8635d47cac381", "title": "ATSR-1: Gridded Brightness Temperature/Reflectance (GBTR) product (AT1_TOA_1P), v2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Gridded Brightness Temperature/Reflectance (GBTR) Product. These data are the Level 1B product that consists of Top of Atmosphere (TOA) radiance measurements and brightness temperatures at full resolution for both the nadir and forward views. \r\n\r\nThe product was calibrated for instrumental and atmospheric effects and re-sampled to a fixed grid aligned to the sub-satellite track. This product were derived from the Level 0 product and auxiliary data, and serves as the input data for all Level 2 products. The third reprocessing was done to implement the updated algorithms, processors, and auxiliary files.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-13T07:16:23", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataReason": "", "keywords": "ATSR, Gridded Brightness Temperature/Reflectance, GBTR ", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-04T08:43:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8061, "dataPath": "/neodc/aatsr_multimission/atsr1-v2.1/data/at1_toa_1p", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 16389844338384, "numberOfFiles": 112902, "fileFormat": "Data are Envisat binary formatted, type \".E2\"." }, "timePeriod": { "ob_id": 2307, "startTime": "1991-07-31T23:00:00", "endTime": "1997-12-17T00:00:00" }, "resultQuality": { "ob_id": 2162, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8065, "uuid": "33c9e0297d8243538b945beeaef9e3de", "short_code": "cmppr", "title": "Composite Process for: ATSR-1 Gridded Brightness Temperature/Reflectnace (GBTR) Product (AT1_TOA_1P) v2.1", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ATSR-1 Gridded Brightness Temperature/Reflectnace (GBTR) Product (AT1_TOA_1P) v2.1; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-1; \n" }, "imageDetails": [ 99 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19905, "uuid": "fe42fbfd372d4d7e905cfb84f2728f77", "short_code": "proj", "title": "ATSR-1 Mission", "abstract": "Along-Track Scanning Radiometer (ATSR-1) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5239 ], "observationcollection_set": [ { "ob_id": 19728, "uuid": "960298f960b7487b9cc07d81aebbf04c", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 ATSR Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19729, "uuid": "07caa9a158294700afe55166160b5139", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 32870, 32864, 32866, 32867, 32868, 43017, 43018, 32865 ], "onlineresource_set": [ 3751, 7874 ] }, { "ob_id": 8066, "uuid": "4da63d4bf3bd88eb939d6eea2cc1009d", "title": "ATSR-1: Gridded Surface Temperature (GST) Product (AT1_NR__2P), v2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Gridded Surface Temperature (GST) Product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. \r\n\r\nThe contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T22:32:55", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataReason": "", "keywords": "ATSR, Gridded Surface Temperature, GST", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-04T08:46:36", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8067, "dataPath": "/neodc/aatsr_multimission/atsr1-v2.1/data/at1_nr__2p", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2832660409561, "numberOfFiles": 68276, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2308, "startTime": "1991-07-31T23:00:00", "endTime": "1997-12-17T00:00:00" }, "resultQuality": { "ob_id": 2163, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8069, "uuid": "56895897441d4c58a16f1e6dbc5f8e4e", "short_code": "cmppr", "title": "Composite Process for: ATSR-1 Gridded Surface Temperature (GST) Product (AT1_NR__2P) v2.1", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ATSR-1 Gridded Surface Temperature (GST) Product (AT1_NR__2P) v2.1; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-1; \n" }, "imageDetails": [ 99 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19905, "uuid": "fe42fbfd372d4d7e905cfb84f2728f77", "short_code": "proj", "title": "ATSR-1 Mission", "abstract": "Along-Track Scanning Radiometer (ATSR-1) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5242 ], "observationcollection_set": [ { "ob_id": 19728, "uuid": "960298f960b7487b9cc07d81aebbf04c", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 ATSR Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19729, "uuid": "07caa9a158294700afe55166160b5139", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 32874, 32876, 32877, 32878, 32880, 42031, 42032, 32875 ], "onlineresource_set": [ 3753, 7875 ] }, { "ob_id": 8070, "uuid": "29645585678b0eedfdbcf568778b31b2", "title": "ATSR-1: Three Band Colour Composite Browse Product (AT1_AST_BP) v2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) Browse Product. These data are 3 band colour composite, quick-look images at coarse resolution. The browse product for the ATSR-1 and the ATSR-2 missions were introduced during the third reprocessing of data products. This product was derived from the Level 1B product and auxiliary data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-09-10T15:02:54", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataReason": "", "keywords": "ATSR, Browse", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-04T09:24:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8071, "dataPath": "/neodc/aatsr_multimission/atsr1-v2.1/data/at1_ast_bp", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 88537834073, "numberOfFiles": 43331, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2309, "startTime": "1991-07-31T23:00:00", "endTime": "1997-12-17T00:00:00" }, "resultQuality": { "ob_id": 2164, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8073, "uuid": "b28d91ecb2584cc89922daa1a80f502d", "short_code": "cmppr", "title": "Composite Process for: ATSR-1 Browse Product (AT1_AST_BP) v2.1", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ATSR-1 Browse Product (AT1_AST_BP) v2.1; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-1; \n" }, "imageDetails": [ 99 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19905, "uuid": "fe42fbfd372d4d7e905cfb84f2728f77", "short_code": "proj", "title": "ATSR-1 Mission", "abstract": "Along-Track Scanning Radiometer (ATSR-1) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5243 ], "observationcollection_set": [ { "ob_id": 19728, "uuid": "960298f960b7487b9cc07d81aebbf04c", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 ATSR Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19729, "uuid": "07caa9a158294700afe55166160b5139", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR Multimission land and sea surface data. 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Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19731, "uuid": "3b1c1cf972b24db3b26dfd592f751a77", "short_code": "coll", "title": "ATSR-2 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR2 Multimission land and sea surface data. 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The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 32942, 32944, 32945, 32946, 32948, 42537, 42538, 32943 ], "onlineresource_set": [ 3779, 7883 ] }, { "ob_id": 8108, "uuid": "e05b507ee79b11cf8c12486ae9ac5404", "title": "AATSR: Gridded Brightness Temperature/Reflectance (GBTR) product (ATS_TOA_1P), v2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Gridded Brightness Temperature/Reflectance (GBTR) Product. 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Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. 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The contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. 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These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. 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Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19727, "uuid": "68c71a0163c44270b2ca0e0f2e0d90f4", "short_code": "coll", "title": "AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. 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These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." }, { "ob_id": 43180, "uuid": "28e69487b3834378b8c6c363ffc528f5", "short_code": "coll", "title": "__MUST_UPDATE__20240917093859__ AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 33024, 33025, 33026, 33028, 33022, 42290, 42291, 33023 ], "onlineresource_set": [ 3812, 3813, 7820 ] }, { "ob_id": 8152, "uuid": "f1814549468ddabed6177b1cf0d5f314", "title": "ATSR-1: L2P Product (ATSR-1 L2P) sea surface temperature values, v2.1", "abstract": "Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThis dataset contains the Along-Track Scanning Radiometer on ESA ERS-1 satellite (ATSR-1) L2P sea surface temperature product. These data are full resolution data with dual-view Sea Surface Temperature (SST) values. Version 3.0 of this dataset have been produced with the ARC L2P processor version 1.2, which replaces the ARC SST processor. The processor applies its own algorithm to generate SST data from the Level 1B Data. This method differs from that used to produce the Gridded Surface Temperature (GST) products. This product also includes the ATSR Saharan Dust index (ASDI) and the clear-sky probability estimated by the ARC cloud detection algorithm.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-09-08T15:44:52", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.", "removedDataReason": "", "keywords": "ATSR, L2P, sea surface temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-03T16:14:01", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8153, "dataPath": "/neodc/aatsr_multimission/atsr1-v2.1/data/L2P", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 756487707226, "numberOfFiles": 67981, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2334, "startTime": "1991-07-31T23:00:00", "endTime": "1997-12-17T00:00:00" }, "resultQuality": { "ob_id": 2182, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8155, "uuid": "74ce8fae83484a4c8728cfa90f29fd7c", "short_code": "cmppr", "title": "Composite Process for: ATSR-1 L2P Product (ATSR-1 L2P) v2.1", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ATSR-1 L2P Product (ATSR-1 L2P) v2.1; \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on ERS-1; \r\n" }, "imageDetails": [ 99 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1141, "name": "NDGO0001" } ], "permissions": [ { "ob_id": 2521, "accessConstraints": null, "accessCategory": "public", "accessRoles": null, "label": "public: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 19905, "uuid": "fe42fbfd372d4d7e905cfb84f2728f77", "short_code": "proj", "title": "ATSR-1 Mission", "abstract": "Along-Track Scanning Radiometer (ATSR-1) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 52527, 52528, 52529, 52531, 52533, 52534, 52535, 52536, 52538, 52539, 52540, 52542, 52543, 52544, 52545, 52546, 52547 ], "vocabularyKeywords": [], "identifier_set": [ 5266 ], "observationcollection_set": [ { "ob_id": 19728, "uuid": "960298f960b7487b9cc07d81aebbf04c", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 2.1", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 ATSR Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19729, "uuid": "07caa9a158294700afe55166160b5139", "short_code": "coll", "title": "ATSR-1 Multimission land and sea surface data, version 3", "abstract": "Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 ATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 33030, 33032, 33033, 33034, 33036, 44417, 44418, 33031 ], "onlineresource_set": [ 3816, 3817, 7876 ] }, { "ob_id": 8156, "uuid": "84b0200944d5eca9b57aa6370429f23c", "title": "AATSR: Level 3 University of Leicester Land Surface Temperature (LST) product (UOL_LST_3P), v2.1", "abstract": "Land Surface Temperature (LST) Level 3 gridded data products (UOL_LST_3P) from the Advanced Along Track Scanning Radiometer (AATSR) produced by the University of Leicester. \r\n\r\nThe data consists of global gridded Level 3 product at a pre-defined set of spatial and temporal resolutions. The product provide AATSR-derived land surface temperature data and its associated uncertainty, as wall as additional auxiliary information.\r\n\r\nThe gridded level 3 product has been derived from the 1km Level-2 AATSR Version 3 LST product (UOL_LST_2P). The Level 3 gridded product was produced under funding from the National Centre for Earth Observation (NCEO).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T01:51:15", "updateFrequency": "notPlanned", "dataLineage": "The Land Surface Temperature product was derived by the University of Leicester, from the AATSR radiance data acquired by the European Space Agency's (ESA) Envisat satellite. The Level 3 data product was derived from the Level 2 product which forms part of the ESA (A)ATSR multimission data product. The Level 3 data product is archived at the NERC Earth Observation Data Centre (NEODC).", "removedDataReason": "", "keywords": "AATSR, LST, Land, Surface, temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-09T10:29:23", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8157, "dataPath": "/neodc/aatsr_multimission/aatsr-v2.1/data/UOL_LST_3P", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 740911293299, "numberOfFiles": 125586, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2335, "startTime": "2002-05-19T23:00:00", "endTime": "2012-04-07T23:00:00" }, "resultQuality": { "ob_id": 2183, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8160, "uuid": "45c89c05daf141c2b86a43374cb91b96", "short_code": "cmppr", "title": "Composite Process for: Level 3 University of Leicester Land Surface Temperature (LST) Product (UOL_LST_3P)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Level 3 University of Leicester Land Surface Temperature (LST) Product (UOL_LST_3P); \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat; \r\n" }, "imageDetails": [ 114, 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19899, "uuid": "585dbd94fa1b4ebcb2502741e671f907", "short_code": "proj", "title": "AATSR Mission", "abstract": "The (A)ATSR (Advanced Along-Track Scanning Radiometer) mission programme was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe instrument was built by Astrium, subsequently calibrated and characterised at the Rutherford Appleton Laboratory, and continues the ATSR-1 and ATSR-2 mission data sets of precise sea surface temperature (SST), thereby ensuring the production of a 17 year near-continuous data set from the ERS-1, ERS-2 and ENVISAT missions at the levels of accuracy of 0.3 K or better for climate research.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 54669, 54670, 54671, 54672, 54673, 54674, 54675, 54676, 54677, 54678, 54679, 54680, 54681 ], "vocabularyKeywords": [], "identifier_set": [ 5267 ], "observationcollection_set": [ { "ob_id": 8059, "uuid": "1d0c047ea3ced97cc7e988d7d286052a", "short_code": "coll", "title": "AATSR Multimission land and sea surface data, version 2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 AATSR Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19727, "uuid": "68c71a0163c44270b2ca0e0f2e0d90f4", "short_code": "coll", "title": "AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 43180, "uuid": "28e69487b3834378b8c6c363ffc528f5", "short_code": "coll", "title": "__MUST_UPDATE__20240917093859__ AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 33038, 33040, 33041, 33042, 42784, 42785, 33043, 33039 ], "onlineresource_set": [ 5086, 5088, 15410, 15411 ] }, { "ob_id": 8161, "uuid": "931156948d9e417e1a271974d133f5b7", "title": "AATSR: Level 2 University of Leicester Land Surface Temperature (LST) product (UOL_LST_2P), v2.1", "abstract": "Land Surface Temperature (LST) Level 2 data products (UOL_LST_2P) from the Advanced Along Track Scanning Radiometer (AATSR) produced by the University of Leicester. \r\n\r\nThe data consists of a Level 2 1km resolution AATSR-orbit based product at a pre-defined set of spatial and temporal resolutions. The product provide AATSR-derived land surface temperature data and its associated uncertainty, as wall as additional auxiliary information.\r\n\r\nLevel 2 products were produced under contract to the European Space Agency and constitute part of the official (A)ATSR multimission product from version 3 of that dataset. Funding from NERC and the National Centre for Earth Observation (NCEO) also helped in the development of this product and enabled the production of the derived Level 3 products. Both products are NetCDF formatted. For further information on the formats of each of the products please see their product user guides.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-20T01:54:10", "updateFrequency": "notPlanned", "dataLineage": "The Land Surface Temperature product was derived by the University of Leicester, from the AATSR radiance data acquired by the European Space Agency's (ESA) Envisat satellite. The Level 2 data product forms part of the ESA (A)ATSR multimission data product, and is also held at the NERC Earth Observation Data Centre (NEODC).", "removedDataReason": "", "keywords": "AATSR, LST, Land, Surface, temperature", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-09T10:28:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8162, "dataPath": "/neodc/aatsr_multimission/aatsr-v2.1/data/UOL_LST_2P", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3322415988630, "numberOfFiles": 100055, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2337, "startTime": "2002-05-19T23:00:00", "endTime": "2012-04-07T23:00:00" }, "resultQuality": { "ob_id": 2184, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-22" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8165, "uuid": "c04af6660a564d45a93dad52772c03ef", "short_code": "cmppr", "title": "Composite Process for: Level 2 University of Leicester Land Surface Temperature (LST) Product (UOL_LST_2P)", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Level 2 University of Leicester Land Surface Temperature (LST) Product (UOL_LST_2P); \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat; \r\n" }, "imageDetails": [ 111, 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 19899, "uuid": "585dbd94fa1b4ebcb2502741e671f907", "short_code": "proj", "title": "AATSR Mission", "abstract": "The (A)ATSR (Advanced Along-Track Scanning Radiometer) mission programme was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR).\r\n\r\nThe instrument was built by Astrium, subsequently calibrated and characterised at the Rutherford Appleton Laboratory, and continues the ATSR-1 and ATSR-2 mission data sets of precise sea surface temperature (SST), thereby ensuring the production of a 17 year near-continuous data set from the ERS-1, ERS-2 and ENVISAT missions at the levels of accuracy of 0.3 K or better for climate research.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 54670, 54671, 54674, 54675, 54676, 57594, 57595, 57596, 57597, 57598, 57599 ], "vocabularyKeywords": [], "identifier_set": [ 5268 ], "observationcollection_set": [ { "ob_id": 8059, "uuid": "1d0c047ea3ced97cc7e988d7d286052a", "short_code": "coll", "title": "AATSR Multimission land and sea surface data, version 2.1", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 2.1 AATSR Multimission land and sea surface data.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 19727, "uuid": "68c71a0163c44270b2ca0e0f2e0d90f4", "short_code": "coll", "title": "AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." }, { "ob_id": 43180, "uuid": "28e69487b3834378b8c6c363ffc528f5", "short_code": "coll", "title": "__MUST_UPDATE__20240917093859__ AATSR Multimission land and sea surface data, version 3", "abstract": "Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). \r\n\r\nThis dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1.\r\n\r\nThe instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users." } ], "responsiblepartyinfo_set": [ 33045, 33047, 33048, 33049, 42923, 42924, 33050, 33046, 74464 ], "onlineresource_set": [ 3821, 3822, 15408, 15409 ] }, { "ob_id": 8167, "uuid": "b099e8b9b3ffc6e9d9f3bc0ff75006b1", "title": "Thermal imagery of England", "abstract": "Thermal imagery for selected areas of England was taken by a FLIR SC 6000 HS thermal camera mounted on a specially designed survey aircraft over the course of 2009 and 2010 by The GeoInformation Group (TGG) as part of the Cities Revealed project. The data were then acquired by the Landmap project. Positioning data were also recorded so that the thermal data could be accurately geolocated in post-processing. The thermal imagery is available as mosaiced img, geotiff or jpeg files for the following areas: Bournemouth, Bradford, Braintree, Coventry, Eastleigh, Gateshead, Gloucester, Gosport, Lewisham, Newcastle, Newcaste-under-lyme, North Tyneside, Poole, Southampton, Southwark, Surrey Heath and Wolverhampton. The thermal data were captured between 7pm to 11pm to avoid solar activity which would produce false readings and when most houses would be heated, in cold (less than 10C) dry weather so that the temperature differential between indoors and outdoors was maximum. The thermal camera has a resolution of <0.02C. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data, such as thermal imagery, for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Cities Revealed © The GeoInformation Group yyyy", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-01-06T10:12:41", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-20T09:34:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 178, "bboxName": "", "eastBoundLongitude": 0.7, "westBoundLongitude": -2.4, "southBoundLatitude": 50.6, "northBoundLatitude": 55.2 }, "verticalExtent": null, "result_field": { "ob_id": 8168, "dataPath": "/neodc/landmap/data/thermal", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 44206615620, "numberOfFiles": 426, "fileFormat": "<div property=\"cedacat:formats\">\r\n\r\nThe thermal imagery is available as mosaiced img, geotiff or jpeg files for the following areas: Bournemouth, Bradford, Braintree, Coventry, Eastleigh, Gateshead, Gloucester, Gosport, Lewisham, Newcastle, Newcaste-under-lyme, North Tyneside, Poole, Southampton, Southwark, Surrey Heath and Wolverhampton. img and geotiff files can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available <a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\">Erdas ER viewer</a> and <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a> for geotiff files, whilst JPEG images can be opened in any basic image viewing software.\r\n</div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2339, "startTime": "2009-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2185, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8171, "uuid": "22241d54b794480eb4368f8298a1ab03", "short_code": "acq", "title": "Acquisition Process for: Thermal imagery of England", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: FLIR SC 6000 HS thermal camera; PLATFORMS: The Geoinformation Group (TGG) Survey Aircraft; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5270 ], "observationcollection_set": [ { "ob_id": 8166, "uuid": "bbe9b540281d29efb8e4fa3b82c2d801", "short_code": "coll", "title": "Landmap: Thermal imagery of England", "abstract": "Thermal imagery for selected areas of England was taken by a FLIR SC 6000 HS thermal camera mounted on a specially designed survey aircraft over the course of 2009 and 2010 by The GeoInformation Group (TGG) as part of the Cities Revealed project. The data were then acquired by the Landmap project. Positioning data were also recorded so that the thermal data could be accurately geolocated in post-processing. The thermal data were captured between 7pm to 11pm to avoid solar activity which would produce false readings and when most houses would be heated, in cold (less than 10C) dry weather so that the temperature differential between indoors and outdoors was maximum. The thermal camera has a resolution of <0.02C.\r\n\r\nThe Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data, such as thermal imagery, for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Cities Revealed Copyright: The GeoInformation Group yyyy or UKMap Copyright: The GeoInformation Group yyyy" } ], "responsiblepartyinfo_set": [ 33060, 33064, 43346, 43348, 33062, 33063, 108862, 33061, 43347 ], "onlineresource_set": [ 3828, 3829, 3830, 3831 ] }, { "ob_id": 8173, "uuid": "dd6483225d844373621844fd2a6184a2", "title": "Theme 5 - Cryosphere and Polar Oceans - Ice Sheet Dynamics: Jakobshavn Glacier Calving front - SAR backscatter images (March-July 2011)", "abstract": "This dataset has been produced as part of the Theme 5 (Cryosphere and Polar Oceans) in the National Centre for Earth Observation which aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models.\r\nThis dataset holds timeseries of Greenland glacier calving front fluctuations as maps and backscatter intensity images for the period March-July 2011. \r\n\r\nThe dataset consists of 38 SAR backscatter images acquired every 3 days between the 12th March and 1st July 2011 during the ERS-2 3-day campaign.\r\n\r\nThe backscatter data were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007): GLAS/ICESat 1 km laser altimetri digital elevation model of Greenland. Boulder, Colorado USA: National Snow and Ice Data Centre. Digital media). ", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-06-26T15:06:36", "updateFrequency": "notPlanned", "dataLineage": "Data prepared by authors and sent to NERC Earth Observations Data Centre (NEODC) for archiving.", "removedDataReason": "", "keywords": "NCEO, Greenland, glacier", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-06-27T17:56:41", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 179, "bboxName": "", "eastBoundLongitude": -47.79, "westBoundLongitude": -51.72, "southBoundLatitude": 68.37, "northBoundLatitude": 69.68 }, "verticalExtent": null, "result_field": { "ob_id": 8174, "dataPath": "/neodc/nceo-cryosphere/data/ice-sheet-dynamics/Greenland-Glacier-Calving-front", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 620775695, "numberOfFiles": 41, "fileFormat": "maps and images are stored as TIFF formatted file. A metadata readme file is associated with the files in the archive.\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2341, "startTime": "2011-03-12T00:00:00", "endTime": "2011-06-30T23:00:00" }, "resultQuality": { "ob_id": 2186, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13697, "uuid": "6cf4819c630d400b93dac29869327d51", "short_code": "comp", "title": "Cryosphere and Polar Oceans - Ice Sheet Dynamics: Jakobshavn Glacier Calving front - SAR backscatter images", "abstract": " Calving front locations were digitized from SAR backscatter images data, and sea ice extent was mapped using daily sea ice concentration data from the National Snow and Ice Data Centre.\r\n\r\nThe TSX data allowed for calculation of the calving flux components, i.e. (i) the ice flux through a fixed fluxgate near the calving front, and (ii) the mass change of the terminus downglacier of that fluxgate, accounting for front position changes." }, "procedureCompositeProcess": null, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 8175, "uuid": "eba1f035928bb74b99a50c5bede41472", "short_code": "proj", "title": "NCEO Theme 5: Cryosphere and Polar Oceans", "abstract": "This Theme in the National Centre for Earth Observation aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models. \r\n\r\nIts priorities are to:\r\n- Quantify and understand recent mass changes in the marine and land cryosphere\r\n- Exploit three satellites, the US-led gravity satellite GRACE, the European Space Agency's GOCE (Gravity and steady-state Ocean Circulation Explorer) satellite, and Cryosat-2, to provide constraints on models of Arctic Ocean circulation and global sea-level rise\r\n- Provide a historical and future perspective on data gathered during the International Polar Year initiative\r\n- Develop key models of processes involving ice in the climate system" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5274, 8614 ], "observationcollection_set": [ { "ob_id": 8172, "uuid": "65a7f71acfd09155c4d21a6491b834d6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO): Ice Sheet Dynamics Data", "abstract": "Theme 5 (Cryosphere and Polar Oceans) of the National Centre for Earth Observation (NCEO) is aimed at resolving uncertainties in future climate and sea-level arising from behaviour of the cryosphere. This dataset holds timeseries of Greenland glacier velocity fluctuations and Greenland glacier calving front fluctuations as maps and backscatter intensity images for the period March-July 2011. Timeseries of Antarctica glacier velocity and calving front fluctuations are expected later this year. The velocity fields and backscatter data were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007))." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 33084, 33078, 33081, 33082, 44072, 44069, 33080, 33079, 44070, 54739, 44071 ], "onlineresource_set": [ 8044 ] }, { "ob_id": 8179, "uuid": "f85043abfb1bddd5fbaa857ef2d00b55", "title": "Theme 5 - Cryosphere and Polar Oceans - Ice Sheet Dynamics: Jakobshavn Glacier Velocity Maps (March-July 2011)", "abstract": "This dataset has been produced as part of the Theme 5 (Cryosphere and Polar Oceans) in the National Centre for Earth Observation which aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models. \r\n\r\nThis dataset holds timeseries of Greenland glacier velocity fluctuations as maps for the period March-July 2011. The 37 velocity maps were derived from SAR data acquired during the 2011 ERS-2 3-day campaign. The velocity maps are 3-day velocity averages and are given in meters per year (m/y) (magnitude values). The name of the velocity files provides the start and end date of each 3-day period.\r\n\r\nThe velocity fields were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007)): GLAS/ICESat 1 km laser altimetri digital elevation model of Greenland. Boulder, \r\nColorado USA: National Snow and Ice Data Centre. Digital media).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-06-25T11:22:00", "updateFrequency": "notPlanned", "dataLineage": "Data prepared by authors and sent to NERC Earth Observations Data Centre (NEODC) for archiving.", "removedDataReason": "", "keywords": "NCEO, Greenland, glacier, velocity", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-06-27T18:04:39", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 179, "bboxName": "", "eastBoundLongitude": -47.79, "westBoundLongitude": -51.72, "southBoundLatitude": 68.37, "northBoundLatitude": 69.68 }, "verticalExtent": null, "result_field": { "ob_id": 8180, "dataPath": "/neodc/nceo-cryosphere/data/ice-sheet-dynamics/Greenland-Glacier-Velocity", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 596279843, "numberOfFiles": 39, "fileFormat": "Maps and images are stored as TIFF formatted file. A metadata readme file is associated with the files in the archive.\r\n\r\n" }, "timePeriod": { "ob_id": 2342, "startTime": "2011-03-12T00:00:00", "endTime": "2011-06-30T23:00:00" }, "resultQuality": { "ob_id": 2187, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-17" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13691, "uuid": "7cdbefb9a4c246c98d60cd775297bf86", "short_code": "comp", "title": "Jakobshavn Glacier Velocity Maps", "abstract": "Intensity tracking, based on patch intensity cross-correlation optimization, and coherence tracking, based on patch coherence optimization, are used to estimate the movement of glacier surfaces between two SAR images in both slant-range and azimuth direction. The accuracy and application range of the two methods are examined in the case of the surge of Monacobreen in Northern Svalbard between 1992 and 1996. Offset-tracking procedures of SAR images are an alternative to differential SAR interferometry for the estimation of glacier motion when differential SAR interferometry is limited\r\nby loss of coherence, i.e., in the case of rapid and incoherent flow and of large acquisition time intervals between the two SAR images. In addition, an offset-tracking procedure in the azimuth\r\ndirection may be combined with differential SAR interferometry in the slant-range direction in order to retrieve a two-dimensional displacement map when SAR data of only one orbit configuration are available.\r\n\r\nThe velocity fields were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland." }, "procedureCompositeProcess": null, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2522, "accessConstraints": null, "accessCategory": "registered", "accessRoles": null, "label": "registered: None group", "licence": { "ob_id": 3, "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/", "licenceClassifications": [ { "ob_id": 3, "classification": "any" } ] } } ], "projects": [ { "ob_id": 8175, "uuid": "eba1f035928bb74b99a50c5bede41472", "short_code": "proj", "title": "NCEO Theme 5: Cryosphere and Polar Oceans", "abstract": "This Theme in the National Centre for Earth Observation aims to use new EO data to quantify changes in the mass balance of the cryosphere and to develop new models to represent the relevant processes in coupled climate prediction models. \r\n\r\nIts priorities are to:\r\n- Quantify and understand recent mass changes in the marine and land cryosphere\r\n- Exploit three satellites, the US-led gravity satellite GRACE, the European Space Agency's GOCE (Gravity and steady-state Ocean Circulation Explorer) satellite, and Cryosat-2, to provide constraints on models of Arctic Ocean circulation and global sea-level rise\r\n- Provide a historical and future perspective on data gathered during the International Polar Year initiative\r\n- Develop key models of processes involving ice in the climate system" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5279, 8615 ], "observationcollection_set": [ { "ob_id": 8172, "uuid": "65a7f71acfd09155c4d21a6491b834d6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO): Ice Sheet Dynamics Data", "abstract": "Theme 5 (Cryosphere and Polar Oceans) of the National Centre for Earth Observation (NCEO) is aimed at resolving uncertainties in future climate and sea-level arising from behaviour of the cryosphere. This dataset holds timeseries of Greenland glacier velocity fluctuations and Greenland glacier calving front fluctuations as maps and backscatter intensity images for the period March-July 2011. Timeseries of Antarctica glacier velocity and calving front fluctuations are expected later this year. The velocity fields and backscatter data were transformed to map coordinates using the GLAS/ICESat 1 km Laser Altimetry Digital Elevation Model of Greenland which is provided at Polar Stereographic grids (DiMarzio, J., Brenner, A., Schutz, R., Schuman, A. & Zwally, H.J. (2007))." }, { "ob_id": 30127, "uuid": "82b29f96b8c94db28ecc51a479f8c9c6", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Core datasets", "abstract": "This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester.\r\n\r\nNCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments." } ], "responsiblepartyinfo_set": [ 33097, 33091, 33093, 33094, 33095, 44489, 44492, 33092, 44490, 54740, 44491 ], "onlineresource_set": [ 8043, 8045 ] }, { "ob_id": 8182, "uuid": "5a3972cf97ef749479738d9ed16db73f", "title": "European Remote Sensing (ERS) Satellites 1 & 2 UK radar data", "abstract": "Active Microwave Instrument - Synthetic Aperture Radar (AMI-SAR) data from the European Remote-Sensing satellites 1 and 2 between 1995 and 1999 were acquired by the Landmap project from QinetiQ and are available for large areas of the UK. Data from the individual satellites are available, but also coherence images from when both satellites were operational and orbiting in tandem, which show the difference between two images in the time between both satellites passing over (around 1 day). The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Original ERS data ERS data copyright ESA 1999/2000 (year of acquisition). Received and Distributed by QinetiQ under licence from the European Space Agency", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-10T09:23:52.956170", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T13:17:56", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 180, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -9.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.9 }, "verticalExtent": null, "result_field": { "ob_id": 8183, "dataPath": "/neodc/landmap/data/radar/ers", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 31933280557, "numberOfFiles": 1434, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\nData are available in ecw (Enhanced Compression Wavelet) and geotiff formats which can be opened in many earth observation image processing software including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a> and the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a> or <a href=\"https://earth.esa.int/web/guest/software-tools/-/article/nest-next-esa-sar-toolbox-5943\">NEST (Next ESA SAR Toolbox)</a>. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. ecw files are compressed images. The data are split into three folders: coherence, ers1 and ers2 and then by region and format. Metadata containing precise location information are available with their respective files. \n</div>\n\n\n" }, "timePeriod": { "ob_id": 2343, "startTime": "1995-01-01T00:00:00", "endTime": "1999-12-31T00:00:00" }, "resultQuality": { "ob_id": 2188, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8188, "uuid": "cd9ffb28c9914c18b7c0ee49e5cb310b", "short_code": "cmppr", "title": "Composite Process for: European Remote Sensing (ERS) Satellites 1 & 2 UK radar data", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: European Remote Sensing (ERS) Satellites 1 & 2 UK radar data; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on European Remote Sensing satellite 2 (ERS-2); \n3. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on European Remote Sensing satellite (ERS-1); \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5281 ], "observationcollection_set": [ { "ob_id": 8181, "uuid": "47edf6f8790da0ebb5080feb810a630e", "short_code": "coll", "title": "Landmap: Radar Earth Observation Collection", "abstract": "The radar data collected by the Landmap project consist of data from ERS (European Remote Sensing) Satellites 1 and 2 from 1995 to 1999, ENVISAT ASAR (Advanced Synthetic Aperture Radar) (available in image mode, alternating polarisation and wide swath from 2004 onwards) and ALOS PALSAR (Advanced Land Orbiting Satellite Phased Array Type L-band Synthetic Aperture Radar) data where Fine Beam Single (FBS), Fine Beam Dual (FBD) and Polarimetric (PLR) data are available from 2007 - 2009 for areas of the UK and Republic of Ireland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was radar data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 33106, 33108, 33109, 33110, 42264, 42266, 33107, 42265 ], "onlineresource_set": [ 3849, 3846, 3847, 3848, 3850, 3851, 3852, 3853, 6293, 6295, 6294, 6292 ] }, { "ob_id": 8189, "uuid": "86a063c7f894cd9eceb6e542888a13ea", "title": "ENVISAT Advanced Synthetic Aperture Radar (ASAR) UK imagery", "abstract": "Data from the Advanced Synthetic Aperture Radar (ASAR) on-board ENVISAT are available for the UK from 2002-2009. The raw data for the alternating polarisation, wide swath and image modes were acquired by the Landmap project from ESA and processed to produce 8 and 32-bit greyscale and multi-difference colour composite geotiff images. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: © ESA 2004/2005/2006/2007/2008…. Received and Distributed by University of Manchester under licence from the European Space Agency", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-22T07:25:29", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T08:16:07", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 180, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -9.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.9 }, "verticalExtent": null, "result_field": { "ob_id": 8190, "dataPath": "/neodc/landmap/data/radar/asar", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 284111326904, "numberOfFiles": 4808, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are available in geotiff format which can be opened in many earth observation image processing software including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a> and the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a> or <a href=\"https://earth.esa.int/web/guest/software-tools/-/article/nest-next-esa-sar-toolbox-5943\">NEST (Next ESA SAR Toolbox)</a>. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. The data are split into the three modes acquired by Landmap (alternating polarisation, wide swath and image modes). The various polarisations can be determined from the filename: \n</p><ul>\n<li><b>hh</b> - Horizontal polarisation transmitted, horizontal received. </li>\n<li><b>vv</b> - Vertical transmitted, vertical received</li>\n<li><b>hv</b> - Horizontal transmitted, vertical received</li>\n<li><b>vh</b> - Vertical transmitted, horizontal received</li>\n</ul>\nSpecific products include 32 bit _geo GeoTiff, and 8 bit _geo_lia and _geo_ls_mask GeoTiffs. All the geotiff images are provided with GeoTiff World Files (.tfw) which are used to geo-reference images to an appropriate projection scheme. \n<p />\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2346, "startTime": "2002-01-01T00:00:00", "endTime": "2009-12-31T00:00:00" }, "resultQuality": { "ob_id": 2189, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8193, "uuid": "f211208c555d4e75a91876181aced34b", "short_code": "cmppr", "title": "Composite Process for: ENVISAT Advanced Synthetic Aperture Radar (ASAR) UK imagery", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: ENVISAT Advanced Synthetic Aperture Radar (ASAR) UK imagery; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Envisat; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5282 ], "observationcollection_set": [ { "ob_id": 8181, "uuid": "47edf6f8790da0ebb5080feb810a630e", "short_code": "coll", "title": "Landmap: Radar Earth Observation Collection", "abstract": "The radar data collected by the Landmap project consist of data from ERS (European Remote Sensing) Satellites 1 and 2 from 1995 to 1999, ENVISAT ASAR (Advanced Synthetic Aperture Radar) (available in image mode, alternating polarisation and wide swath from 2004 onwards) and ALOS PALSAR (Advanced Land Orbiting Satellite Phased Array Type L-band Synthetic Aperture Radar) data where Fine Beam Single (FBS), Fine Beam Dual (FBD) and Polarimetric (PLR) data are available from 2007 - 2009 for areas of the UK and Republic of Ireland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was radar data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 33113, 33115, 33116, 33117, 42795, 42797, 33114, 42796 ], "onlineresource_set": [ 3855, 3856, 3857, 3858, 3859, 3860, 3861 ] }, { "ob_id": 8194, "uuid": "e6e8b3853eed7eeceedf347737643414", "title": "Advanced Land Observing Satellite (ALOS) Phased Array type-L band Synthetic Aperture Radar (PALSAR) UK imagery", "abstract": "Level 1 Advanced Land Observing Satellite (ALOS) Phased Array type-L band Synthetic Aperture Radar (PALSAR) data were acquired from ESA by the Landmap project and processed to produce greyscale 8 and 32-bit geotiff imagery for the UK and Republic of Ireland from 2007-2009. The UK data are projected onto the British National Grid whereas the Republic of Ireland data are projected onto the Irish National Grid. PALSAR is an active microwave sensor using L-band (2GHz) frequency and produces various products of different resolutions and performance. PALSAR data can be acquired during day or night, increasing the temporal coverage of data for a particular spatial extent. PALSAR is also unaffected by cloud cover allowing a better coverage of satellite data. \r\nPALSAR collects data in 4 different modes. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: © ESA 2004/2005/2006/2007/2008…. Received and Distributed by University of Manchester under licence from the European Space Agency", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T12:19:34", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-18T13:42:26", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 181, "bboxName": "", "eastBoundLongitude": 0.2, "westBoundLongitude": -9.8, "southBoundLatitude": 50.2, "northBoundLatitude": 58.9 }, "verticalExtent": null, "result_field": { "ob_id": 8195, "dataPath": "/neodc/landmap/data/radar/palsar", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 108270112091, "numberOfFiles": 10980, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are available in geotiff format which can be opened in many earth observation image processing software including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a> and the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a> or <a href=\"https://earth.esa.int/web/guest/software-tools/-/article/nest-next-esa-sar-toolbox-5943\">NEST (Next ESA SAR Toolbox)</a>. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. The data are split into the three modes acquired by Landmap (Fine Beam Single (FBS), Fine Beam Dual (FBD) and Polarimetric). The various polarisations can be determined from the filename: \n</p><ul>\n<li><b>HH</b> - Horizontal polarisation transmitted, horizontal received. </li>\n<li><b>VV</b> - Vertical transmitted, vertical received</li>\n<li><b>HV</b> - Horizontal transmitted, vertical received</li>\n<li><b>VH</b> - Vertical transmitted, horizontal received</li>\n</ul>\nSpecific products include 32 bit _geo GeoTiff, and 8 bit _geo_lia and _geo_ls_mask GeoTiffs. All the geotiff images are provided with GeoTiff World Files (.tfw) which are used to geo-reference images to an appropriate projection scheme. \n<p />\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2348, "startTime": "2007-01-01T00:00:00", "endTime": "2009-12-31T00:00:00" }, "resultQuality": { "ob_id": 2190, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8201, "uuid": "bfaea31a6fe84d8a9ca2eb2b65d4aaea", "short_code": "cmppr", "title": "Composite Process for: Advanced Land Observing Satellite (ALOS) Phased Array type-L band Synthetic Aperture Radar (PALSAR) UK imagery", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Advanced Land Observing Satellite (ALOS) Phased Array type-L band Synthetic Aperture Radar (PALSAR) UK imagery; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Advanced Land Observing Satellite (ALOS); \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5283 ], "observationcollection_set": [ { "ob_id": 8181, "uuid": "47edf6f8790da0ebb5080feb810a630e", "short_code": "coll", "title": "Landmap: Radar Earth Observation Collection", "abstract": "The radar data collected by the Landmap project consist of data from ERS (European Remote Sensing) Satellites 1 and 2 from 1995 to 1999, ENVISAT ASAR (Advanced Synthetic Aperture Radar) (available in image mode, alternating polarisation and wide swath from 2004 onwards) and ALOS PALSAR (Advanced Land Orbiting Satellite Phased Array Type L-band Synthetic Aperture Radar) data where Fine Beam Single (FBS), Fine Beam Dual (FBD) and Polarimetric (PLR) data are available from 2007 - 2009 for areas of the UK and Republic of Ireland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was radar data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33119, 33121, 33122, 44230, 44232, 33123, 108863, 33120, 44231 ], "onlineresource_set": [ 3863, 3864, 3865, 3866, 3867, 3868, 3869 ] }, { "ob_id": 8203, "uuid": "bde3e07047e99cdf61908c3e93d51c66", "title": "Global Ozone Monitoring Experiment-2 (GOME-2): Atmospheric Spectral METOP-A data at Level 1b", "abstract": "The Global Ozone Monitoring Experiment–2 (GOME–2), is an optical spectrometer, fed by a scan mirror which enables across–track scanning in nadir, as well as sideways viewing for polar coverage and instrument characterisation measurements using the moon. The scan mirror directs light into a telescope, designed to match the field of view of the instrument to the dimensions of the entrance slit. This scan mirror can also be directed towards internal calibration sources or towards a diffuser plate for calibration measurements using the sun.\r\n\r\nThis dataset contains atmospheric spectra (Level 1b data) from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-A satellite.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2021-03-01T18:05:08", "updateFrequency": "unknown", "dataLineage": "Data collected and processed by EUMETSAT before a copy was obtained directly from EUMETSAT by NEODC", "removedDataReason": "", "keywords": "GOME, ozone, trace gases", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2009-03-19T15:11:07", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 182, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 32894, "dataPath": "/neodc/gome2_metop_a/data/l1b/", "oldDataPath": [ 8204 ], "storageLocation": "internal", "storageStatus": "online", "volume": 56068709863464, "numberOfFiles": 88732, "fileFormat": "Data are EPS native formatted." }, "timePeriod": { "ob_id": 2350, "startTime": "2007-01-01T00:00:00", "endTime": "2015-11-17T23:59:59" }, "resultQuality": { "ob_id": 2191, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-15" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8211, "uuid": "5e1fa6450ce04793b5280f478f54cf05", "short_code": "cmppr", "title": "Composite Process for: Data from GOME-2 at Metop-A for the Eumetsat Polar System Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from GOME-2 at Metop-A for the Eumetsat Polar System Project; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Metop-A; \n" }, "imageDetails": [ 112 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2621, "accessConstraints": null, "accessCategory": "noaccess", "accessRoles": null, "label": "noaccess: None group", "licence": { "ob_id": 77, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/gome-2.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" }, { "ob_id": 3, "classification": "any" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21771, 22341, 25383, 25386, 25394, 25879, 25935, 25982, 25983 ], "vocabularyKeywords": [], "identifier_set": [ 5288 ], "observationcollection_set": [ { "ob_id": 8202, "uuid": "2adc7994200734f3503b796691293530", "short_code": "coll", "title": "Global Ozone Monitoring Experiment-2 (GOME-2): Vertical Profiles of Ozone and other Trace Gases", "abstract": "The Global Ozone Monitoring Experiment–2 (GOME–2), is an optical spectrometer, fed by a scan mirror which enables across–track scanning in nadir, as well as sideways viewing for polar coverage and instrument characterisation measurements using the moon. The scan mirror directs light into a telescope, designed to match the field of view of the instrument to the dimensions of the entrance slit. This scan mirror can also be directed towards internal calibration sources or towards a diffuser plate for calibration measurements using the sun.\r\n\r\nThis dataset collection contains vertical profiles of ozone and other trace gases from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-A satellite.\r\n\r\nGOME–2 comprises four main optical channels which focus the spectrum onto linear silicon photodiode detector arrays of 1024 pixels each, and two Polarisation Measurement Devices (PMDs) containing the same type of arrays for measurement of linearly polarised intensity in two perpendicular directions. GOME–2 senses the Earth’s Backscattered Radiance and Extraterrestrial Solar Irradiance in the ultraviolet and visible part of the spectrum (240 – 790 nm). The detected signals are preprocessed on board and then transmitted to ground for full data processing and generation of maps. The recorded spectra are used to derive a detailed picture of the total atmospheric content of ozone and the vertical ozone profile in the atmosphere, vertical profiles of ozone, nitrogen dioxide, water vapour, oxygen / oxygen dimmer, bromine oxide and other trace gases, as well as aerosols.\r\n" }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 33136, 33141, 33138, 33139, 33140, 33142, 46131, 33137 ], "onlineresource_set": [] }, { "ob_id": 8213, "uuid": "bbdbb4e5ef063592ad8f3288f8441569", "title": "Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR 2) UK data", "abstract": "The Advanced Visible and Near InfraRed 4-band Radiometer type-2 (AVNIR-2) is a visible and near infrared 4-band radiometer offering 10m spatial resolution optical imagery that is often used for land and coastal earth observation applications. AVNIR-2 is on board the Japanese earth observation Advanced Land Observing Satellite (ALOS) and was developed by the Japanese Aerospace Exploration Agency (JAXA). The data were acquired by the Landmap project from ESA, and are available for large areas of the Republic of Ireland and small areas of Scotland and England, for 2007 to 2008. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: ESA 2004/2005/2006/2007/2008…. Received and Distributed by University of Manchester under licence from the European Space Agency.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-03-02T06:36:56", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-29T12:32:35", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 183, "bboxName": "", "eastBoundLongitude": 1.3, "westBoundLongitude": -10.7, "southBoundLatitude": 50.5, "northBoundLatitude": 59.5 }, "verticalExtent": null, "result_field": { "ob_id": 8214, "dataPath": "/neodc/landmap/data/optical/avnir2", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 39259067273, "numberOfFiles": 876, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>The data are archived in the directory structure of region/year/data type/data for ease of use. Full Colour Composition (FCC), True Colour Composition (TCC) and Full Composite (FC) data are available as GeoTiff files which can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a> or <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a>. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. FCC data comprises of bands 4, 3 and 2, TCC of 3, 2 and 1 and FC of all bands. Metadata, in the form of aux, rrd and tfw files, are contained in the same folders as the data. The tfw files are GeoTiff World Files which are used to geo-reference images to an appropriate projection scheme.\n</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2352, "startTime": "2006-01-24T00:00:00", "endTime": "2011-05-11T23:00:00" }, "resultQuality": { "ob_id": 2192, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8219, "uuid": "c1eafd5ad3844b9d9a94eefd8f63427b", "short_code": "cmppr", "title": "Composite Process for: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR 2) UK data", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR 2) UK data; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Advanced Land Observing Satellite (ALOS); \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5293 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33156, 33158, 33159, 33160, 43520, 43522, 108871, 33157, 43521 ], "onlineresource_set": [ 3897, 3898, 3899, 3900, 3901, 3902 ] }, { "ob_id": 8220, "uuid": "51c4273d47ef0130c422eafb2f99d4fe", "title": "Colour InfraRed (CIR) data for England and Wales", "abstract": "Colour InfraRed (CIR) imagery for most of England and Wales collected between 2006 and 2010 at 50cm resolution by Bluesky, and then acquired by the Landmap project. The data were collected using digital cameras mounted underneath planes. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted Earth Observation satellite data for the majority of the UK, part of which was CIR data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. The data are split into 100x100km regions that correspond to Ordnance Survey grid reference squares, and are available in GeoTiff format. Some regions are also available in ecw (Enhanced Compression Wavelet) format. Colour InfraRed imagery consists of imagery in three bands – Near InfraRed (NIR), red and green. CIR can be used study the health and variation of vegetation coverage as NIR rays are reflected at the bottom of leaves rather than the top, as with green. To aid with this, images were captured at times when plants were expected to be in full leaf. The invisible near infrared light of CIR can be \"seen\" by shifting it and the primary colours over so that near infrared wavelengths become visible as red while red wavelengths appear as green and green as blue. Blue wavelengths are shifted out of the visible portion of the spectrum and so they appear as black. On CIR imagery vegetation appears red while water generally appears black with artificial structures like buildings and roads showing as a light blue-green.\r\n\r\nWhen using these data please also include the following copyright statement: © GeoPerspectives supplied by Bluesky yyyy", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T16:53:36", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-31T09:16:53", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 184, "bboxName": "", "eastBoundLongitude": 1.3, "westBoundLongitude": -7.7, "southBoundLatitude": 50.5, "northBoundLatitude": 59.5 }, "verticalExtent": null, "result_field": { "ob_id": 8221, "dataPath": "/neodc/landmap/data/optical/cir/bluesky", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2269268788742, "numberOfFiles": 1255876, "fileFormat": "<div property=\"cedacat:formats\">\r\nThe data are split into 100x100km regions that correspond to <a href=\"http://www.ordnancesurvey.co.uk/resources/maps-and-geographic-resources/the-national-grid.html\">Ordnance Survey (OS) national grid</a> squares and archived in the directory structure of region/year/format/data. The data are available in GeoTiff format (with GeoTiff world files (.tfw) which are data files that are used to geo-reference images to an appropriate projection scheme), with some regions also available in ecw (Enhanced Compression Wavelet) format. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display, and ECW (Enhanced Compression Wavelet) files are compressed images. Most filenames start with the <a href=\"http://www.ordnancesurvey.co.uk/resources/maps-and-geographic-resources/the-national-grid.html\">OS grid reference</a> of the area covered by the file, in the format AA0000. GeoTiff files can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a>. The ecw (Enhanced Compression Wavelet) files can also be opened in most image viewing/editing software, including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\">Erdas ER viewer</a>\r\n</div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2354, "startTime": "2004-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2193, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8224, "uuid": "9c33997b2ca440a081030bd4fdec6de6", "short_code": "acq", "title": "Acquisition Process for: Colour InfraRed (CIR) data for England and Wales", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Vexel UltraCam, ADS40 from Leica Geosystems; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5295 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33163, 33165, 33166, 42101, 42103, 33167, 108874, 33164, 42102 ], "onlineresource_set": [ 3906, 3908, 3909, 3910, 3911, 3907 ] }, { "ob_id": 8225, "uuid": "afffd9d74f29f7a768e52d0945860c21", "title": "Disaster Monitoring Constellation (DMC) UK imagery", "abstract": "The Disaster Monitoring Constellation (DMC) is a satellite series built by the Surrey Satellite Technology ltd (SSTL) and run by DMC International Imaging (DMCII). The DMC data archive contains data from the first (DMC-6) and second generation (DMC-6-22) UK satellites (which were part of the DMC), having multitemporal coverage for most parts of the UK for each year since 2007. The Landmap project collected the best available DMC images as a single coverage of most of the UK for each year from 2007 to 2010. The resolution provided by the second generation satellites and first generation satellites is 22m and 32m respectively, with data in green, red and Near InfraRed (NIR) bands collected. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. The DMC is a constellation of small satellites that was formed by national governments and organisations for coordinating satellite imaging campaigns to assess and mitigate natural disasters with more up to date and timely imagery. The DMC programme started by launching Algeria's satellite \"AlSat-1\" in the year 2002. This first satellite was soon joined by the satellites of the British National Space Centre, Nigeria and Turkey forming the four satellite constellation. Later, China and Spain also became a part of the DMC mission.\r\n\r\nWhen using these data please also add the following copyright statement: © DMC International Imaging Ltd yyyy", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-10T09:23:08.341553", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "working", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": null, "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 184, "bboxName": "", "eastBoundLongitude": 1.3, "westBoundLongitude": -7.7, "southBoundLatitude": 50.5, "northBoundLatitude": 59.5 }, "verticalExtent": null, "result_field": { "ob_id": 8226, "dataPath": "/neodc/landmap/data/optical/dmc", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 52549763855, "numberOfFiles": 412, "fileFormat": "<div property=\"cedacat:formats\">\r\nThe data are archived in the directory structure of region/year/format/data. The data are available in GeoTiff format (with GeoTiff world files (.tfw) which are data files that are used to geo-reference images to an appropriate projection scheme) and ecw (Enhanced Compression Wavelet) format. Geotiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file. The geographic metadata can then be used to position the image in the correct location and geometry on the screen of a geographic information display. They can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a>. The ecw (Enhanced Compression Wavelet) files are compressed images and can also be opened in most image viewing/editing software, including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\">Erdas ER viewer</a>\r\n</div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2355, "startTime": "2007-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2194, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8236, "uuid": "cd80c74c35ba440f8eaf01465022c6fc", "short_code": "cmppr", "title": "Composite Process for: Disaster Monitoring Constellation (DMC) UK imagery", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Disaster Monitoring Constellation (DMC) UK imagery; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on UK Disaster Monitoring Constellation (UK-DMC) satellite; \n3. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on UK Disaster Monitoring Constellation 2 (UK-DMC2) satellite; \n" }, "imageDetails": [], "discoveryKeywords": [], "permissions": [ { "ob_id": 2576, "accessConstraints": null, "accessCategory": "noaccess", "accessRoles": null, "label": "noaccess: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5298 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33172, 33174, 33175, 33176, 43274, 43276, 108876, 33173, 43275 ], "onlineresource_set": [ 3915, 3916, 3917, 3918, 5104 ] }, { "ob_id": 8237, "uuid": "3bd036bf5e877dcd3666eee55be70960", "title": "Historical Aerial Photography for the UK and France", "abstract": "UK coverage at 50cm to 1m resolution for various dates from the 1930s onwards including UK-wide post war surveys from 1946 to 1952, city, county and district wide databases with a variety of film and print archives also available. Small areas of France were also covered. Sources include R.A.F., U.S.A.F. and Luftwaffe. The data were acquired by the Landmap project from The GeoInformation Group's (TGG) Cities Revealed project. Created from original film where possible, sourced from several archives, this database represents the very best of RAF, Luftwaffe and USAF aerial photography flown during 1939 to 1952. Images were then mosaiced together to produce regional coverage for various areas. Close inspection of some of the images will show where the images were created using printed images as printed annotations are visible. While in other cases prints are visible on the margins of the original film shown. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Cities Revealed © The GeoInformation Group yyyy", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-08T15:09:49.465025", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-01T11:31:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 185, "bboxName": "", "eastBoundLongitude": 5.0, "westBoundLongitude": -5.9, "southBoundLatitude": 48.5, "northBoundLatitude": 56.9 }, "verticalExtent": null, "result_field": { "ob_id": 8238, "dataPath": "/neodc/landmap/data/optical/h_ap", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 67049180704, "numberOfFiles": 2218, "fileFormat": "<div property=\"cedacat:formats\">\r\nData are available in ecw (Enhanced Compression Wavelet) and MrSID (Multiresolution Seamless Image Database) formats which can both be opened with most image viewing/editing or GIS software such as such as <a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\">Erdas ER viewer</a>. Both formats are ultimately compressed images however the MrSID (Multiresolution Seamless Image Database) format (.sid extension) allows large compressed raster image files (such as aerial photographs or satellite imagery) to be quickly viewed without having to decompress the entire file. The data are archived in the directory structure of country/region_year/format/data for ease of use. Metadata containing location and other information (.ers, .sdw and .xml files) are included with their respective data files. \r\n</div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2358, "startTime": "1930-01-01T00:00:00", "endTime": "1952-12-31T00:00:00" }, "resultQuality": { "ob_id": 2195, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5303 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33184, 33186, 33187, 33188, 41785, 41787, 33185, 41786 ], "onlineresource_set": [ 3925, 3926, 3927, 3924 ] }, { "ob_id": 8239, "uuid": "1999cc89208158c8616845f01ac93100", "title": "Modern UK Aerial Photography", "abstract": "Aerial photography obtained from The Geoinformation Group's (TGG) Cities Revealed project, acquired by the Landmap project, is available for over 65% of the UK's population, from 1969 to 2010. The imagery has a high resolution of 5-25cm. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Cities Revealed © The GeoInformation Group yyyy", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T23:25:31", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-08-01T14:32:32", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 186, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -6.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 8240, "dataPath": "/neodc/landmap/data/optical/m_ap", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1465985735433, "numberOfFiles": 32094, "fileFormat": "<div property=\"cedacat:formats\">\r\nData are available in ecw (Enhanced Compression Wavelet) and MrSID (Multiresolution Seamless Image Database) formats which can both be opened with most image viewing/editing or GIS software such as such as <a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\">Erdas ER viewer</a>. Both formats are ultimately compressed images however the MrSID (Multiresolution Seamless Image Database) format (.sid extension) allows large compressed raster image files (such as aerial photographs or satellite imagery) to be quickly viewed without having to decompress the entire file. The data are archived in the directory structure of country/region_year/format/data for ease of use. Metadata containing location and other information (.ers, .sdw and .xml files) are included with their respective data files. \r\n</div>\r\n\r\n" }, "timePeriod": { "ob_id": 2359, "startTime": "1968-12-31T23:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2196, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5304 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33192, 33194, 33195, 33196, 41356, 41358, 33193, 41357 ], "onlineresource_set": [ 3930, 3931, 3932, 3929 ] }, { "ob_id": 8241, "uuid": "7ab8a717cb371584966f80a023d7eab7", "title": "UK Landsat 4/5 imagery acquired by Landmap from Infoterra", "abstract": "Raw Landsat 4/5 data covering the UK were acquired from Infoterra by the Landmap project. Landmap subsequently orthorectified and mosaiced the images. Two types of image data from the satellite are available for the UK from 1988 to 1992: MultiSpectral Scanner (MSS) and Thematic Mapper (TM). Landsat 4 and 5 carry both the MSS and the TM sensors; however, routine collection of MSS data was terminated in late 1992. The MSS and TM sensors primarily detect reflected radiation from the Earth's surface in the visible and near-infrared (IR) wavelengths, but the TM sensor with its seven spectral bands provides more radiometric information than the MSS sensor. The Landsat Program is one of the longest running programmes for image acquisition from space, first launched in 1972 the program is managed between the U.S. Geological Survey (USGS) and NASA. Eight satellites have so far been launched, the most recent being Landsat 8, on February 11th, 2013. Landsat satellite imagery offers a unique resource for global change research and applications in agriculture, geology, forestry, regional planning, education, and national security. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statement: Original Landsat 4 & 5 Landsat data copyright NOAA. Distributed by CHEST under licence from Infoterra International.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-08T15:09:30.363296", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "Landmap, ", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-28T13:59:11", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 187, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -9.0, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 8242, "dataPath": "/neodc/landmap/data/optical/l45", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 14559485960, "numberOfFiles": 146, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\nUK data are available as img files which are raster image files created by ERDAS IMAGINE that contain one or more layers, called bands, which include multiple image tiles that comprise the image. The files can be opened in all earth observation image processing software including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a>. Data are archived in the directory structure of region/year/format/data for ease of use, xml metadata containing location information are provided with their respective data files. \n</div>\n\n\n" }, "timePeriod": { "ob_id": 2360, "startTime": "1984-04-11T23:00:00", "endTime": "1992-12-31T00:00:00" }, "resultQuality": { "ob_id": 2197, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8252, "uuid": "d0bd6992feba4196985b386ceb516eef", "short_code": "cmppr", "title": "Composite Process for: UK Landsat 4/5 imagery acquired by Landmap from Infoterra", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: UK Landsat 4/5 imagery acquired by Landmap from Infoterra; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat 4; \n3. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat 5; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5305 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 33200, 33202, 33203, 33204, 42665, 42667, 108880, 33201, 42666 ], "onlineresource_set": [ 3934, 3935, 3936, 3937, 6282, 6284, 6283, 6281 ] }, { "ob_id": 8253, "uuid": "b4d92aef2611636e0ae42de3d5fa4900", "title": "Landsat 7 data acquired by Landmap from Infoterra", "abstract": "Landsat 7 imagery was acquired by the Landmap project from Infoterra. Landsat 7 satellite is equipped with an Enhanced Thematic Mapper Plus (ETM+) instrument, developed by Raytheon Santa Barbara Remote Sensing in Santa Barbara, California. Imagery is available for the whole of the UK from 1999 to 2001 at 15m resolution for the panchromatic and 25m resolution for the band 1-3 and 1-7 GeoTiff images. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.\r\n\r\nWhen using these data please also add the following copyright statements: Copyright University of Manchester/University College London Year 2001. Original Landsat 7 Distributed by Infoterra International.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-08T15:09:33.498827", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-28T14:17:29", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 188, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -7.7, "southBoundLatitude": 50.0, "northBoundLatitude": 60.0 }, "verticalExtent": null, "result_field": { "ob_id": 8254, "dataPath": "/neodc/landmap/data/optical/l7", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 22938459456, "numberOfFiles": 436, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\nPanchromatic images are available in img format, with all others available in GeoTiff and ecw formats. All three formats can be opened in all earth observation image processing software including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a> or <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a>. img files are raster image files created by ERDAS IMAGINE that contain one or more layers, called bands, which include multiple image tiles that comprise the image, GeoTiff files are TIFF files which have geographic metadata embedded as tags within the TIFF file (which can then be used to position the image in the correct location and geometry on the screen of a geographic information display) and ecw (Enhanced Compression Wavelet) files are compressed images. Data are archived in the directory structure of region/year/format/data for ease of use, metadata are provided with their respective data files. \n</div>\n\n" }, "timePeriod": { "ob_id": 2363, "startTime": "1999-01-01T00:00:00", "endTime": "2001-12-31T00:00:00" }, "resultQuality": { "ob_id": 2198, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8260, "uuid": "be6c28aacb88479dbe2d29e58b85cd44", "short_code": "cmppr", "title": "Composite Process for: Landsat 7 data acquired by Landmap from Infoterra", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Landsat 7 data acquired by Landmap from Infoterra; \r\n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat 7; \r\n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5310 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 33215, 33217, 33218, 33219, 43377, 43379, 108960, 33216, 43378 ], "onlineresource_set": [ 3947, 3949, 3948, 3945, 3946, 3950, 3951, 3952, 6285, 6287, 6286, 6277 ] }, { "ob_id": 8261, "uuid": "4b814c20c1efd0db622146794db6f787", "title": "Landsat Mediterranean data acquired by Landmap", "abstract": "Landsat data for Cyprus, East Spain and West Spain is available from Landsat 5 and 7. The data were obtained by the Landmap project from donations by various academic institutions. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-08T15:09:29.261154", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-12T10:33:10", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 1, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8262, "dataPath": "/neodc/landmap/data/optical/lmed", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2431187550, "numberOfFiles": 16, "fileFormat": "<div property=\"cedacat:formats\">\r\nBand 1-5,7 imagery is available in a single .img file for each collection shown above. The .img format can be opened in most earth observation image processing software including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/remote-sensing/erdas-er-viewer\">Erdas ER viewer</a> or <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A) ATSR and Meris Toolbox (BEAM)</a>. img files are raster image files created by ERDAS IMAGINE that contain one or more layers, called bands, which include multiple image tiles that comprise the image. The data folders are labelled as l?med_ppp_rr_ddmmyyyy where ? is either 5 or 7 corresponding to Landsat 5 and 7 respectively, ppp is the satellite path number, rr is the row number, and ddmmyyyy is the date of collection. See the NASA page on the <a href=\"http://landsat.gsfc.nasa.gov/?p=3231\">Landsat Worldwide Reference System</a> for more information about paths and rows. \r\n</div>\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2365, "startTime": "1987-06-25T23:00:00", "endTime": "2000-08-14T23:00:00" }, "resultQuality": { "ob_id": 2199, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8268, "uuid": "b87b92e1e6ad47918022c96aacab6f48", "short_code": "cmppr", "title": "Composite Process for: Landsat Mediterranean data acquired by Landmap", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Landsat Mediterranean data acquired by Landmap; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat 7; \n3. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat 5; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2588, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landmap", "label": "restricted: landmap group", "licence": { "ob_id": 51, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landmap.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5313 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." }, { "ob_id": 30129, "uuid": "3b0630c7fa264164868d4da5c9f90bed", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO) Third Party Data", "abstract": "The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use." } ], "responsiblepartyinfo_set": [ 33226, 33229, 33230, 42018, 42019, 33228, 33227 ], "onlineresource_set": [ 3957, 3959, 3960, 3961, 3958, 6289, 6291, 6290, 6288 ] }, { "ob_id": 8269, "uuid": "35a68ae7f6bcad835e76ad8cdd8b8190", "title": "Near InfraRed (NIR) red-edge data for Northern Ireland", "abstract": "Near InfraRed red-edge imagery for Northern Ireland from 2009 to 2011 was acquired by the Landmap project from RapidEye. The imagery has a spatial resolution of 6.5metres and contains 5 spectral bands. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-08T15:13:57.026615", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data were obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-12T13:43:44", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 189, "bboxName": "", "eastBoundLongitude": -5.2, "westBoundLongitude": -8.2, "southBoundLatitude": 54.0, "northBoundLatitude": 55.4 }, "verticalExtent": null, "result_field": { "ob_id": 8270, "dataPath": "/neodc/landmap/data/optical/nir_red-edge", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12292763938, "numberOfFiles": 834, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\nData are available in GeoTiff format. GeoTiff files can be opened by most Geographic Information Systems (GIS) and Image Processors (IP) such as the freely available <a href=\"http://www.brockmann-consult.de/cms/web/beam/\">Basic ERS &amp; Envisat (A)ATSR and Meris Toolbox (BEAM)</a>. The following metadata files are provided with their respective images:\n<ul>\n<li>XML: These files contain information such as latitude/longitude, collection date etc. of the particular image. General information about the product is also available.</li>\n<li>GeoTiff files with the _browse suffix: These files show the full extent of valid imagery available for the given image tile, regardless of any black-fill. The resolution of these files is comparatively less than the valid imagery - around 48m.</li>\n<li>GeoTiff files with the _udm suffix: The Unusuable Data Mask (UDM) files are generated by the system during a cloud detection operation applied on each acquired image. The UDM files also show the full extent of valid imagery. For more information about the characteristics of the UDM files see the <a href=\"http://blackbridge.com/rapideye/upload/RE_Product_Specifications_ENG.pdf\">RapidEye Satellite Imagery\nProduct Specifications guide</a></li>\n<li>TXT: These are simple license and readme text files that contain the text of license related to terms and conditions between buyer and the RapidEye, and copyright information respectively.</li>\n</ul>\nThe data are split into folders for 2009, 2010 and 2011.\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2368, "startTime": "2009-01-01T00:00:00", "endTime": "2011-12-31T00:00:00" }, "resultQuality": { "ob_id": 2200, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8276, "uuid": "6ea264f23fca40aa8f003872b4dcf06f", "short_code": "cmppr", "title": "Composite Process for: Near InfraRed (NIR) red-edge data for Northern Ireland", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Near InfraRed (NIR) red-edge data for Northern Ireland; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on RapidEye Satellite Constellation; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2576, "accessConstraints": null, "accessCategory": "noaccess", "accessRoles": null, "label": "noaccess: None group", "licence": { "ob_id": 2, "licenceURL": "https://artefacts.ceda.ac.uk/licences/missing_licence.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 8044, "uuid": "7f1280cf215da6f8001eae5c2f019fe8", "short_code": "proj", "title": "Landmap Project", "abstract": "The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected, modified and hosted a large amount of earth observation data for the majority of the UK, including imagery from ERS satellites, ENVISAT and ALOS, high-resolution Digital Elevation Models (DEMs) and Digital Terrain Models (DTMs) and aerial photography dating back to 1930. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held in the CEDA Archive.\r\nAside from the thermal imagery data which stands alone, the data reside in four collections: optical, elevation, radar and feature. The datasets contained in each are as follows:\r\n\r\nOptical: Advanced Visible and Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography.\r\n\r\nElevation: A 5m resolution DTM for England and Wales (Bluesky) and Scotland (GetMapping), a 2m resolution Digital Surface Model (DSM, equivalent to a DEM) for Wales and Scotland and 1m resolution LiDAR-derived DTMs and DSMs for cities of England and Scotland.\r\n\r\nRadar: ERS satellites 1&2 radar data, ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery and ALOS Phased Array type L-band Synthetic Aperture Radar (PALSAR) imagery, of the UK. \r\n\r\nFeatures: Building heights and building classes for the main urban conurbations of the UK and Kinematic GPS (KGPS) data for over 6,400km of UK roads." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5314 ], "observationcollection_set": [ { "ob_id": 8212, "uuid": "b918b02c3c2c55391f51e8465bd7621f", "short_code": "coll", "title": "Landmap: Optical Earth Observation Collection", "abstract": "The optical data collected by Landmap consist of Advanced Near InfraRed Radiometer type 2 (AVNIR-2), Colour InfraRed (CIR), Disaster Monitoring Constellation (DMC), Landsat 4/5, Landsat 7, Near InfraRed (NIR), SPOT (Earth-Observing Satellites) and Topsat data, along with Mediterranean Landsat imagery and Modern and Historical Aerial Photography. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was optical aerial and satellite imagery. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC." } ], "responsiblepartyinfo_set": [ 33234, 33233, 33235, 33236, 33237, 41746, 41748, 108884, 41747 ], "onlineresource_set": [ 3963, 3964, 3965, 3966 ] } ] }
