Observation List
Get a list of Observation objects.
GET /api/v3/observations/?format=api&offset=1000
{ "count": 10256, "next": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=1100", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/observations/?format=api&limit=100&offset=900", "results": [ { "ob_id": 8277, "uuid": "88c42e0b495a708d391957dc4f96d37c", "title": "SPOT (Earth-Observing Satellites) Imagery", "abstract": "10 to 20m resolution panchromatic imagery is available for the UK and Ireland from 1986 to 1995 (from SPOT 1, 2 and 3 satellites). They are isolated scenes captured over an extended time period. The data were acquired by the Landmap project from Infoterra. The SPOT satellite Earth Observation System was designed by the Centre National d'Etudes Spatiales (CNES), in France. There have been 7 SPOT (Satellite Pour l'Observation de la Terre) satellites launched since 1986 (as of August 2014), providing medium to high resolution of the Earth's surface. SPOT 1, 2 and 3 carried a multi-spectral and panchromatic sensor on board. SPOT 4 was successfully launched in March 1998. The first three SPOT satellites carry twin HRVs (High-Resolution Visible Imaging instruments) that operate in a number of viewing configurations and in different spectral modes. Some of those viewing configurations and spectral modes include one HRV only operating in a dual spectral mode (i.e. in both panchromatic mode and multispectral mode); two HRVs operating in the twin-viewing configuration (i.e. one HRV in panchromatic mode and one HRV in multispectral mode); and two HRVs operating independently of each other (i.e. not in twin-viewing configuration). The position of each HRV entrance mirror can be commanded by ground control to observe a region of interest. Operating independently of each other, the two HRVs acquire imagery in either multispectral (XS) and/or panchromatic (P) modes at any viewing angle within plus or minus 27 degrees. This off-nadir viewing enables the acquisition of stereoscopic imagery. To make sure the satellite covers every point on the earth's surface, the HRV imaging instruments offer a field of view that is wider than the greatest distance between two adjacent tracks.\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 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 include the following copyright statement on any reproduced SPOT images: CNES (year of reproduction of the data from the satellite), reproduced by................................................. under licence from SPOT IMAGE", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-22T07:20:35", "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": "2014-08-13T07:43:55", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 190, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -10.7, "southBoundLatitude": 50.0, "northBoundLatitude": 60.9 }, "verticalExtent": null, "result_field": { "ob_id": 8278, "dataPath": "/neodc/landmap/data/optical/spot", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 9279248474, "numberOfFiles": 650, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>10 to 20m resolution panchromatic imagery is available for the UK and Ireland from 1986 to 1995 in GeoTiff format, they are isolated scenes captured over an extended time period. The data are archived in the structure country/year/geotiff/orthospotxx_xxx_ddmmyyyy/datafiles where ddmmyyyy is the date that the image was collected on. XML metadata files containing information such as latitude/longitude, collection date and general information about the product; are located with their respective image files.</p>\n<p>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>.</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2370, "startTime": "1986-02-22T00:00:00", "endTime": "1995-12-31T00:00:00" }, "resultQuality": { "ob_id": 2201, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8284, "uuid": "3a84ca68936a49068b4079576a33ddd4", "short_code": "cmppr", "title": "Composite Process for: SPOT (Earth-Observing Satellites) Imagery", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: SPOT (Earth-Observing Satellites) Imagery; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on SPOT (Earth Observing Satellites) Earth Observation System; \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": [ 5317 ], "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": [ 33245, 33246, 33247, 42823, 33243, 42825, 108886, 33244, 42824 ], "onlineresource_set": [ 3971, 3972, 3973, 3974, 3975, 3976, 3977, 3978 ] }, { "ob_id": 8285, "uuid": "cf6e14075d6f66fd44cc0e1391a01852", "title": "TOPSAT (Tactical Operational Satellite) imagery acquired by Landmap", "abstract": "Topsat images acquired by the Landmap project from Infoterra are available for selected areas in the following countries and locations: Albania, Argentina, Armenia, Botswana, Cameroon, China, Croatia, Egypt, Farasan Islands, Ghana, Honduras, Iraq, Kazakhstan, Krakatau, Mali, Mexico, Nigeria, Nile Delta, Palestine, Patagonia, Russia and Santa Cruz Island. Data are available as panchromatic or multispectral, in Tiff, ecw (Enhanced Compression Wavelet) and JPEG formats. 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": "2014-09-08T15:13:45.387616", "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": "2014-08-13T10:40:19", "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": 8286, "dataPath": "/neodc/landmap/data/optical/topsat", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8660630035, "numberOfFiles": 972, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>Data are available as panchromatic (image-xxxx-pan) or multispectral (image-xxxx-ms), in Tiff, ecw (Enhanced Compression Wavelet) and JPEG formats. Data were collected between November 2007 and August 2009. The data are separated by location.</p>\n<p>Tiff 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>, and ecw files can be opened in most image viewing/editing software, including open/free software such as <a href=\"http://www.hexagongeospatial.com/products/ERDASERViewer/Details.aspx\">Erdas ER viewer</a>. JPEG images can be opened by most basic image viewers.</p>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2372, "startTime": "2007-11-01T00:00:00", "endTime": "2009-08-30T23:00:00" }, "resultQuality": { "ob_id": 2202, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8292, "uuid": "b3cd7352a5c94617b321bc39e2a5d566", "short_code": "cmppr", "title": "Composite Process for: TOPSAT (Tactical Operational Satellite) imagery acquired by Landmap", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: TOPSAT (Tactical Operational Satellite) imagery acquired by Landmap; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Tactical Operational Satellite (TOPSAT); \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": [ 5320 ], "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": [ 33252, 33254, 33255, 33256, 43897, 43899, 108887, 33253, 43898 ], "onlineresource_set": [ 3998, 3992, 3993, 3994, 3995, 3996, 3997, 3999 ] }, { "ob_id": 8293, "uuid": "ddd2973171798280640c3f585559179e", "title": "Colour InfraRed (CIR) data for Scotland", "abstract": "Colour InfraRed (CIR) imagery for most Scotland collected between 2006 and 2010 at 50cm resolution by GetMapping, 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 to 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.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T14:27:26", "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": "2010-08-20T15:19:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 191, "bboxName": "", "eastBoundLongitude": -1.7, "westBoundLongitude": -7.7, "southBoundLatitude": 54.9, "northBoundLatitude": 60.9 }, "verticalExtent": null, "result_field": { "ob_id": 8294, "dataPath": "/neodc/landmap/data/optical/cir/getmapping", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 772570350189, "numberOfFiles": 885998, "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. 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": 2374, "startTime": "2004-01-01T00:00:00", "endTime": "2010-12-31T00:00:00" }, "resultQuality": { "ob_id": 2203, "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": [ 5323 ], "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": [ 33264, 33266, 33267, 33268, 44073, 44075, 33265, 44074 ], "onlineresource_set": [ 4007, 4008, 4009, 4010, 4006 ] }, { "ob_id": 8296, "uuid": "0092c4fe29f76c1b99b4dc19133f361a", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop-B satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-B satellite.\r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. The IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1\r\n\r\nThis data set contains both the original processed data and reprocessed archive in the following directories based on processing algorithm. Please see information under the process tab for further information. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only.\r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57", "latestDataUpdateTime": "2024-03-09T02:10:57", "updateFrequency": "", "dataLineage": "Data collected and prepared by EUMETSAT before a copy is obtained by CEDA direct from EUMETSAT", "removedDataReason": "", "keywords": "IASI, EPS, satellite, temperature, troposphere, stratosphere, Metop-B", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2014-06-11T15:36:20", "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": 8297, "dataPath": "/neodc/iasi_metop_b/data/l1c", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 96013148656000, "numberOfFiles": 46371, "fileFormat": "EUMETSAT IASI L1C Native format" }, "timePeriod": { "ob_id": 8812, "startTime": "2013-02-20T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 2204, "explanation": "Please see EUMETSAT for details regarding data quality for IASI data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8303, "uuid": "fa4d7ac8dcfc4fed87945c3eb0378439", "short_code": "cmppr", "title": "Composite Process for: Level 1C data from the IASI (Infrared Atmospheric Sounding Interferometer) Instrument on board the MetOp-B satellite.", "abstract": "This process is comprised of multiple procedures: 1. 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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": [ 33321, 33322, 33323, 33325, 33319, 42378, 42376, 33320 ], "onlineresource_set": [] }, { "ob_id": 8322, "uuid": "b9f371df3a07cbb5944484cdc785a0a5", "title": "(A)ATSR Validation Campaign - SISTeR SST Data from MS Color Festival", "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR (Scanning Infrared Sea surface Temperature Radiometer). To ensure the accuracy of the (A)ATSR, there have been joint efforts to validate the measurement data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). This dataset contains the SST between Oslo, Norway and Frederikshavn, Denmark measured by the SISTeR on-board MS Color Festival during her voyages in 2006.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-04-17T05:23:33", "updateFrequency": "notPlanned", "dataLineage": "The data were acquired by the SISTeR Project team with shipborne SISTeR, and are now held by the NERC Earth Observation Data Centre (NEODC)", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-07-08T14:27:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8323, "dataPath": "/neodc/sister/data/Festival", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 842249405, "numberOfFiles": 234, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p>\nThe data are stored in .nc format. The voyage paths of the ships are also provided in .kml format.\n</p>\n<p>\nData Coverage:\n</p><ul>\n<li> 2006-05-15 - 2006-05-16 </li>\n<li> 2006-07-18 - 2006-08-17 </li>\n<li> 2006-08-23 - 2006-09-17 </li>\n</ul>\n<p />\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2379, "startTime": "2006-05-14T23:00:00", "endTime": "2006-09-16T23:00:00" }, "resultQuality": { "ob_id": 2208, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8326, "uuid": "bf30da00a318433fb9ca3ed14b523388", "short_code": "acq", "title": "Acquisition Process for: (A)ATSR Validation Campaign - SISTeR SST Data from MS Color Festival", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Scanning Infrared Sea surface Temperature Radiometer (SISTeR); PLATFORMS: MS Color Festival; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" }, { "ob_id": 1141, "name": "NDGO0001" } ], "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": 7790, "uuid": "cd9be3427347213de11041702d87055e", "short_code": "proj", "title": "(A)ATSR Validation Campaign", "abstract": "The prime objective of the (A)ATSR missions is to return accurate measurements of the global sea surface temperature. Hence, there have been joint efforts to validate the data. The (A)ASTR Validation Campaign is an important component of the (A)ATSR validation plan. During the six months since the launch of the ENVISAT, and throughout the mission, there have been several activities involving different to validate AATSR to ensure that the instrument is meeting its specification and returning SSTs within +/- 0.3 K" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 6019, 6020, 9550, 9650, 9651, 9652, 9653, 9654, 9655, 9658, 9660, 9661, 9663, 9665, 9666 ], "vocabularyKeywords": [], "identifier_set": [ 5338 ], "observationcollection_set": [ { "ob_id": 8310, "uuid": "c8d3946637b79669129ffbc5b29e50c5", "short_code": "coll", "title": "(A)ATSR Validation Campaign - SISTeR SST Data", "abstract": "Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR. The prime objective of the (A)ATSR mission is to return accurate measurements of the global sea surface temperature. To ensure the accuracy of the measurement, there have been joint efforts to validate the data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). The SISTeR is a self-calibrating radiometer that measures the skin sea surface temperature. The SISTeR was mounted on MS Color Festival and MS Prinsesse Ragnhild to return skin sea surface temperature in the North Sea in 2006, and was on-board RMS Queen Mary 2 collecting data from the Atlantic Ocean, Indian Ocean and Western Pacific between 2010 and 2014. Data was collected continuously throughout the cruises unless severe weather conditions required the instrument to be protected, which results in the prevention of the data collection." }, { "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": [ 33329, 33331, 33332, 33333, 33335, 43472, 43470, 33330 ], "onlineresource_set": [] }, { "ob_id": 8328, "uuid": "b318e76e5a427ad9cc233aad60f1684d", "title": "CASIX: Global monthly carbon primary production estimates", "abstract": "CASIX, the Centre for observation of Air-Sea Interactions & fluXes, is a NERC Centre of Excellence in Earth Observation. The scientific focus was on advancing the science of air-sea interactions and reducing the errors in the prediction of climate change. The primary goal was to quantify accurately the global air-sea fluxes of carbon dioxide (CO2). CASIX accelerated the exploitation of new Earth Observation satellite data to further the understanding of marine biogeochemistry in the Earth System. CASIX links NERC Centres, university groups and the Met Office to model ocean circulation and the ocean carbon cycle.\r\n\r\nThis dataset contains global monthly primary production estimates derived using the Smyth et al 2005 model from SeaWiFS data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T03:12:18", "updateFrequency": "unknown", "dataLineage": "Dataset produced using the Smyth et al. 2005 model from SeaWiFS data, by Tim Smyth, Centre for the observation of Air-Sea Interaction and fluXes (CASIX); Plymouth Marine Laboratory, Plymouth, UK.\r\nProvided to NEODC in November 2009.", "removedDataReason": "", "keywords": "CASIX, SeaWiFS, model", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-02-16T14:58:00", "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": 8329, "dataPath": "/neodc/casix/seawifs_primary_production/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 839582338, "numberOfFiles": 134, "fileFormat": "Data are netCDF formatted and images are GIF formatted" }, "timePeriod": { "ob_id": 5161, "startTime": "1998-01-01T00:00:00", "endTime": "2005-05-30T22:59:59" }, "resultQuality": { "ob_id": 2209, "explanation": "Not available at this time.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 8330, "uuid": "b4eeceb210934f85a8747483dd95f0c5", "short_code": "comp", "title": "CASIX data processing deployed on Plymouth Marine Laboratory (PML) computer", "abstract": "This computation involved: CASIX data processing deployed on Plymouth Marine Laboratory (PML) computer." }, "procedureCompositeProcess": null, "imageDetails": [ 130 ], "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": 5000, "uuid": "ed2497aaa1a5980657a706d0512604ed", "short_code": "proj", "title": "Centre for observation of Air-Sea Interactions and fluXes (CASIX)", "abstract": "CASIX, the Centre for observation of Air-Sea Interactions and fluXes, was a NERC Centre of Excellence in Earth Observation. CASIX scientific focus was on advancing the science of air-sea interactions and reducing the errors in the prediction of climate change. The primary goal was to quantify accurately the global air-sea fluxes of carbon dioxide (CO2). CASIX accelerated the exploitation of new Earth Observation satellite data to further the understanding of marine biogeochemistry in the Earth System. CASIX links NERC Centres, university groups and the Met Office to model ocean circulation and the ocean carbon cycle." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50542, 50543, 60857, 60858, 60859, 60865, 86911, 86912, 86913, 86914, 86915 ], "vocabularyKeywords": [], "identifier_set": [ 5342 ], "observationcollection_set": [ { "ob_id": 8327, "uuid": "f0a76b5b2c3d7b82299c51ceb849755e", "short_code": "coll", "title": "CASIX: Global monthly Carbon Primary Production Estimates using Sea-viewing Wide Field-of-view Sensor (SeaWiFS) primary data", "abstract": "CASIX, the Centre for observation of Air-Sea Interactions & fluXes, is a NERC Centre of Excellence in Earth Observation. The scientific focus was on advancing the science of air-sea interactions and reducing the errors in the prediction of climate change. The primary goal was to quantify accurately the global air-sea fluxes of carbon dioxide (CO2). CASIX accelerated the exploitation of new Earth Observation satellite data to further the understanding of marine biogeochemistry in the Earth System. CASIX links NERC Centres, university groups and the Met Office to model ocean circulation and the ocean carbon cycle.\r\n\r\nThis dataset collection contains global monthly primary production estimates derived using the Smyth et al 2005 model from SeaWiFS data." }, { "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": [ 33347, 33352, 33346, 33349, 33350, 33351, 33353, 33348, 74345 ], "onlineresource_set": [] }, { "ob_id": 8332, "uuid": "c10b78c69887a4960879688e73cb37a0", "title": "Data from LANDSAT7 ETMPLUS at Landsat7 for the Landsat Campaign", "abstract": "The Landsat 7 program uses the Enhanced Thematic Mapper plus (ETM+) and provides contiguous data from Landsat 1 program from the early 1970's to present (2012). Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The program is jointly run by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2076-11-29T08:54:34", "updateFrequency": "notPlanned", "dataLineage": "", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-05-14T09:21:51", "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": 8333, "dataPath": "/neodc/landsat7etm", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1502064611121, "numberOfFiles": 39595, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n\n<p>NEODC archive</p>\n<p>Click <a href=\"http://www.neodc.rl.ac.uk/datasearch/index.php?platform_type=satellite\" target=\"_blank\">here</a> to search NEODC holdings of Landsat 7 data, or use the <a href=\"http://www.neodc.rl.ac.uk/maps/mapserver_neodc/dbox/neodc/neodc_coverage.html\">Interactive Map</a>. Some of these data are available via a <a href=\"http://ignis.neodc.rl.ac.uk/cgi-infrastructure/data_browser/data_browser/neodc/landsat7etm\">self-service download system</a> to registered users who have requested access to this dataset. Click <a href=\"http://ignis.neodc.rl.ac.uk/cgi-infrastructure/dataset_registration/dataset_info.cgi.pl?datasetid=landsat7etm\">here</a> to request access to this dataset.</p> \n\n<p>The original data producer's archive is available here: <a href=\"http://edcsns17.cr.usgs.gov/EarthExplorer/\">USGS Eros Data Centre</a></p>\n<p>Other suppliers:</p>\n\n<ul>\n<li><a href=\"http://www.infoterra-global.com\">Infoterra</a></li> \n<li><a href=\"http://www.eurimage.com\">Eurimage</a></li>\n<li><a href=\"http://www.npagroup.com\">NPA Group</a></li>\n</ul>\n</div>\n\n\n" }, "timePeriod": { "ob_id": 2380, "startTime": "1999-04-14T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 2210, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8337, "uuid": "b5547802b55c413d8259c6061a4167d0", "short_code": "cmppr", "title": "Composite Process for: Data from LANDSAT7 ETMPLUS at Landsat7 for the Landsat Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from LANDSAT7 ETMPLUS at Landsat7 for the Landsat Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat7; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2635, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landsat7etm", "label": "restricted: landsat7etm group", "licence": { "ob_id": 85, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landsat7etm_conditions.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8334, "uuid": "4e5dea57e8f01c2824b2169683822b56", "short_code": "proj", "title": "Landsat", "abstract": "Landsat satellites have been collecting images of the Earth's surface for more than thirty years. NASA launched the first Landsat satellite in 1972, and the most recent one, Landsat 8, in 2013. Instruments onboard the satellites have acquired millions of images of the Earth. These images provide a unique resource for people who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5345 ], "observationcollection_set": [ { "ob_id": 8331, "uuid": "aaba22410ce92057748f9863275a9a1b", "short_code": "coll", "title": "Landsat 7 Enhanced Thematic Mapper plus (ETM+) imagery collection", "abstract": "The Landsat 7 program uses the Enhanced Thematic Mapper plus (ETM+) and provides contiguous data from Landsat 1 program from the early 1970's to present (2012). Landsat-7 is the most recent of the series of Landsat satellites, having been launched on 15th April 1999. It has an anticipated mission lifetime of 5+ years. The spacecraft is about 14 feet long (4.3 meters) and 9 feet (2.8 meters) in diameter. It consists of a spacecraft bus, built by Lockheed Martin Missiles and Space in Valley Forge, Pa., and the Enhanced Thematic Mapper Plus (ETM+) instrument, developed by Raytheon Santa Barbara Remote Sensing, California. The ETM+ (extended thematic mapper) sensor is an eight band multi-spectral scanning radiometer providing high-resolution images of the earth, detecting visible, near-infrared, short wave and thermal infrared frequency bands. The orbit follows that of earlier Landsat satellites and thus provides continuity of earth surface coverage claimed to be unparalleled by any other instrument. It possesses a worldwide reference system operating to a tolerance of +- 0.05 degrees that catalogues the earth's surface into 57,784 scenes each 183km by 170 km. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The program is jointly run by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data.\r\n\r\nNote: Gaining access to the Landsat 4/5 TM data will also automatically give you access to the Landsat 4/5 TM data also 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": [ 33364, 33363, 33366, 33367, 33369, 33368, 33370, 33365 ], "onlineresource_set": [] }, { "ob_id": 8339, "uuid": "9de2a7566f88ce68250f6a9dae02df5b", "title": "MEdium Resolution Imaging Spectrometer (MERIS): Level 1B reprocessed radiance product", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC.\r\n\r\nThis dataset contains Level 1B reprocessed radiances MERIS product.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-29T13:56:22", "updateFrequency": "notPlanned", "dataLineage": "Data acquired directly from European Space Agency (ESA) via a number of routes: File Transfer Protocol (FTP), Linear Tape-Open (LTO) tape transfer and Data Dissemination Service (DDS) link.", "removedDataReason": "", "keywords": "MERIS, Global Radiances, Sea Colour, Ocean Chlorophyll Content, Sediment, Cloud Parameters", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-02-13T13:40:20", "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": 8340, "dataPath": "/neodc/meris/data/l1b/reprocessed", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 8568413439552, "numberOfFiles": 20266, "fileFormat": "Data are Envisat PDS formatted.\r\n\r\n" }, "timePeriod": { "ob_id": 2381, "startTime": "2002-03-01T00:00:00", "endTime": "2012-04-08T22:59:59" }, "resultQuality": { "ob_id": 2211, "explanation": "Operational data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-12" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 19914, "uuid": "9e7a80dfcf0f430e8357509fcc576dff", "short_code": "cmppr", "title": "Level 1B reprocessed radiance product", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Envisat - MERIS at Envisat for the MEdium Resolution Imaging Spectrometer (MERIS) Project; \r\n2. Computation: deployed on Envisat; \r\n" }, "imageDetails": [ 115 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2554, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "meris", "label": "restricted: meris group", "licence": { "ob_id": 26, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/meris.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" }, { "ob_id": 7, "classification": "specific" }, { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8341, "uuid": "07f1e9f7ff781cc38ed6b3c1555050ef", "short_code": "proj", "title": "MEdium Resolution Imaging Spectrometer (MERIS)", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22345, 22346, 23084, 23420, 25397, 25844, 25845, 25846, 25853, 25855, 25879, 25885, 25902, 25913, 25922, 25930, 25936, 25983, 25985, 25994, 26107, 26117, 26118, 26119, 26120, 26121, 26122, 26123 ], "vocabularyKeywords": [], "identifier_set": [ 5350 ], "observationcollection_set": [ { "ob_id": 8338, "uuid": "f26559a9daeae9e6740811d3b3113716", "short_code": "coll", "title": "MEdium Resolution Imaging Spectrometer (MERIS) on-board the European Space Agency (ESA) Envisat Satellite: Global Radiances, Sea Colour, Ocean Chlorophyll Content, Sediment and Cloud Parameters", "abstract": "The Medium Resolution Imaging Spectrometer (MERIS) is one of the ten instruments on board the Envisat satellite launched on the 28th of February 2002 from Kourou (French Guyana) and operated by the European Space Agency (ESA). MERIS is a 68.5 deg field-of-view nadir-pointing imaging spectrometer which measures the solar radiation reflected by the Earth in 15 spectral bands (visible and near-infrared). It obtains a global coverage of the Earth in 3 days. Its main objective is to measure the sea colour and quantify the ocean chlorophyll content and sediment, thus providing information on the ocean carbon cycle and thermal regime. It is also used to derive the cloud top height, cloud optical thickness, aerosol and water vapour column. The ground spatial resolution of the instrument is 260 m x 290 m. Only reduced resolution data (1.04 km x 1.16 km) are archived at the NEODC. \r\n\r\nThis dataset collection contains Level 1B radiances and Level 2 retrieved parameters products from 2002-2012." }, { "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": [ 33380, 33381, 33382, 33384, 33385, 33386, 33387, 33383 ], "onlineresource_set": [ 15420 ] }, { "ob_id": 8347, "uuid": "a8d4ca1867333274c7c0d215fb46fc71", "title": "CALIPSO: Cloud and Aerosol Lidar Level 2 5km Cloud Layer Version 3-30 Product (CAL_LID_L2_05kmCLay-Prov-V3-30)", "abstract": "The Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) was a joint-mission between NASA and the French space agency Centre National d'Etudes Spatiales. The main objectives of the mission was to supply unique data set of vertical cloud and aerosol profiles.\r\n\r\nThis dataset contains cloud and aerosol lidar level 2 5km cloud layer version 3-02 data derived from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) Level 1B product at 5 km horizontal resolution, with full complement of diagnostic and quality assurance parameters. The data provide a range of parameters including vertical profile of cloud layers and optical depth. Version 3-30 was released in April, 2013. This version incorporates two ancillary input files updated from those used in versions 3-01 and 3-02: GEOS-5 processing system version 5.9.1 from version 5.2; and the enhanced Air Force Weather Authority (AFWA) Snow and Ice Datasets. 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The resulting impact on the products are very minor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-05-20T05:23:34", "updateFrequency": "notPlanned", "dataLineage": "These data were obtained from the NASA Langley Research Center Atmospheric Science Data Center and mirrored by the NEODC", "removedDataReason": "", "keywords": "NASA, CALIPSO, CALIOP, Cloud, Aerosol", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-07-25T15:58:47", "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": 8423, "dataPath": "/neodc/caliop/data/l2_01kmclay/v3-02", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 450773160272, "numberOfFiles": 36959, "fileFormat": "Data are HDF4 formatted " }, "timePeriod": { "ob_id": 2411, "startTime": "2011-11-01T00:00:00", "endTime": "2013-02-28T00:00:00" }, "resultQuality": { "ob_id": 2226, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-28" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8426, "uuid": "84c6b2c90a4841939181c3a85a2d3ae5", "short_code": "cmppr", "title": "Composite Process for: CALIPSO Lidar Level 2 1km Cloud Layer Version 3-02 Product (CAL_LID_L2_01kmCLay-ValStage1-V3-02)", "abstract": "This process is comprised of multiple procedures: 1. 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Originally developed to facilitate the utilisation of image data from Envisat's optical instruments, BEAM now supports a growing number data formats of other EO sensors such as <strong>AVHRR</strong>.</li>\r\n</ul>\r\n<p />\r\n</div>" }, "timePeriod": { "ob_id": 2413, "startTime": "1978-11-05T00:00:00", "endTime": "2013-12-31T00:00:00" }, "resultQuality": { "ob_id": 2227, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8435, "uuid": "0c8fdb5f0f064367814fb5a86261ee56", "short_code": "cmppr", "title": "Composite Process for: Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC) Level 1B data", "abstract": "This process is comprised of multiple procedures: 1. 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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": [ 33533, 33535, 33536, 33537, 33540, 41247, 41249, 33534, 41248 ], "onlineresource_set": [ 4147, 4148, 4149, 4150, 4151, 4152 ] }, { "ob_id": 8437, "uuid": "8a846281c530e892e01bfb43e96f439b", "title": "CASIX TOPEX: kriged monthly mean ocean circulation data", "abstract": "TOPography EXperiment (TOPEX) for ocean circulation (otherwise known as Poseidon) was launched on August 10, 1992 and was a joint satellite mission between NASA, the U.S. space agency, and CNES, the French space agency, to map ocean surface topography. The first major oceanographic research vessel to sail into space, TOPEX/Poseidon helped revolutionise oceanography by proving the value of satellite ocean observations.\r\n\r\nThis dataset contains monthly means on a 1x1 latitude/longitude grid for 12 years (1993-2004). The data contains the following parameters: wind speed, squared wind speed, cubed wind speed, wind speed * significant wave height, significant wave height, 1/sigma0(Ku) and gas transfer velocity. TOPEX/Poseidon was a joint mission from the National Aeronautics and Space Administration (NASA), the U.S. space agency and the French space agency.\r\n\r\nThe dataset was produced by Fangohr, S. and D.K. Woolf of SOCS, as part of the NERC programme's Centre for observation of Air-Sea Interactions and FluXes (CASIX) and National Centre for Earth Observation (NCEO).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2024-03-09T02:22:20", "updateFrequency": "notPlanned", "dataLineage": "These data were provided to NEODC in netCDF format by Susanne Fangohr (Southampton) as an output from the NERC CASIX Centre of Excellence in June 2006.\r\n\r\nThe files were slightly modified by Victoria Jay, NEODC, 2009-10-02 (units of longitude and latitude changed from degrees to degrees_east and degrees_north)", "removedDataReason": "", "keywords": "TOPEX, ocean, satellite, marine", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-10-18T23:35:06", "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": 8438, "dataPath": "/neodc/casix/kriged_TOPEX/data", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 970538151, "numberOfFiles": 13, "fileFormat": "Data are netCDF formatted" }, "timePeriod": { "ob_id": 2417, "startTime": "1993-01-01T00:00:00", "endTime": "2004-12-31T00:00:00" }, "resultQuality": { "ob_id": 2228, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-03" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 8439, "uuid": "f46794dafe1a45beb1378e3e949bc90b", "short_code": "comp", "title": "kriging process of TOPEX data deployed on National Oceanography Center, Southampton (NOCS) Computer", "abstract": "This computation involved: kriging process of TOPEX data deployed on National Oceanography Center, Southampton (NOCS) Computer. Kriging is a group of geostatistical techniques to interpolate the value of a random field (e.g., the elevation, z, of the landscape as a function of the geographic location) at an unobserved location from observations of its value at nearby locations. This process was used on TOPEX (TOPography EXperiment for Ocean Circulation) data resulting in monthly means on a 1x1 lat/lon grid for 12 years (1993-2004). The dataset was produced by Fangohr, S. and D.K. Woolf of SOCS.\n\nKriging is an optimal interpolation method which is used to fill the gaps which would naturally occur in any altimeter data set as a result of the altimeter's sampling pattern. Apart from offering a clever method of interpolation (in space and time) kriging also produces a measure of variability (standard deviation) of the raw data around the interpolated values that it returns. This process was used on Topex data to produce a kriged gridded altimeter data, Climatologies of gas transfer velocity and CO2 flux.\n\nSee Fangohr, S. and D.K. Woolf (2006). Application of new parameterizations of gas transfer velocity and their impact on regional and global marine CO2 budgets, provisionally accepted by Journal of Marine Systems." }, "procedureCompositeProcess": null, "imageDetails": [ 130 ], "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": 19610, "uuid": "6de4edfd146446618c81aa656111b17d", "short_code": "proj", "title": "CASIX TOPography EXperiment (TOPEX)", "abstract": "TOPography EXperiment (TOPEX) for ocean circulation (otherwise known as Poseidon) was launched on August 10, 1992 and was a joint satellite mission between NASA, the U.S. space agency, and CNES, the French space agency, to map ocean surface topography. The first major oceanographic research vessel to sail into space, TOPEX/Poseidon helped revolutionise oceanography by proving the value of satellite ocean observations.\r\n\r\nCentre for the observation of Air-Sea Interaction and fluXes (CASIX) was responsible for the UK contribution to international TOPEX programme, undertaken as part of the National Centre for Earth Observation (NCEO)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 51168, 51169, 51170, 51171, 51172, 51173, 51174, 51175, 51176, 51177, 51178, 51179, 51180, 51181, 51182, 51183 ], "vocabularyKeywords": [], "identifier_set": [ 5385 ], "observationcollection_set": [ { "ob_id": 8436, "uuid": "378c3e773d87e42b30ff10379143eb4c", "short_code": "coll", "title": "CASIX TOPEX: high-resolution gridded monthly means of surface marine data", "abstract": "TOPography EXperiment (TOPEX) for ocean circulation (otherwise known as Poseidon) was launched on August 10, 1992 and was a joint satellite mission between NASA, the U.S. space agency, and CNES, the French space agency, to map ocean surface topography. The first major oceanographic research vessel to sail into space, TOPEX/Poseidon helped revolutionise oceanography by proving the value of satellite ocean observations.\r\n\r\nThis dataset collection contains monthly means on a 1x1 latitude/longitude grid for 12 years (1993-2004). The data contains the following parameters: wind speed, squared wind speed, cubed wind speed, wind speed * significant wave height, significant wave height, 1/sigma0(Ku) and gas transfer velocity. \r\n\r\nThe dataset was produced by Fangohr, S. and D.K. Woolf of SOCS, as part of the NERC programme's Centre for observation of Air-Sea Interactions and FluXes (CASIX) and National Centre for Earth Observation (NCEO)." }, { "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": [ 33550, 33555, 33549, 33552, 33553, 33554, 33556, 33551 ], "onlineresource_set": [] }, { "ob_id": 8441, "uuid": "da9288387796a9b80c619c611f330a58", "title": "International Satellite Land Surface Climatology Project Initiative II: VHRR FASIR at unknown computer", "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This dataset was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2004-12-16T15:58:47", "updateFrequency": "", "dataLineage": "version 4.13 provided by Dr. Sietse Los.", "removedDataReason": "", "keywords": "BIOSPHERE EARTHSCIENCE", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-03-12T17:00:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8442, "dataPath": "/neodc/avhrr_fasir/fasir_biophys_monthly_xdeg", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 610400985, "numberOfFiles": 179, "fileFormat": "Data are ASCII formatted." }, "timePeriod": { "ob_id": 2418, "startTime": "1999-01-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 2229, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8445, "uuid": "dd7553658b074cfc8c2ed17c558efc8d", "short_code": "cmppr", "title": "Composite Process for: Data from AVHRR FASIR at unknown computer for the International Satellite Land Surface Climatology Project Initiative II Collection", "abstract": "This process is comprised of multiple procedures: 1. Computation: AVHRR FASIR deployed on unknown computer; \n" }, "imageDetails": [ 6 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2646, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "avhrr_fasir", "label": "restricted: avhrr_fasir group", "licence": { "ob_id": 91, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/avhrr_fasir.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8443, "uuid": "02b11d959c771f995b062d904486e255", "short_code": "proj", "title": "International Satellite Land Surface Climatology Project Initiative II", "abstract": "The International Satellite Land-Surface Climatology Project (ISLSCP) is a project addressing land-atmosphere interactions. ILSCP Initiative II data collection was initiated in 1999 to extend the production of ISLCP global data sets." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22325, 22334, 25848, 25902, 25927, 25930, 25931, 25932, 25985, 25987, 25988, 25993, 25994, 25996, 25997 ], "vocabularyKeywords": [], "identifier_set": [ 5391 ], "observationcollection_set": [ { "ob_id": 8440, "uuid": "547ac2223f87202f27a19f8266ca4358", "short_code": "coll", "title": "International Satellite Land Surface Climatology Project Initiative II (ISLSCP2): Multiple Resolution of a 17-year Record of the Fourier-Adjusted, Sensor and Solar Zenith Angle Corrected, Interpolated, Reconstructed (FASIR) Adjusted Normalized Difference Vegetation Index (NDVI) and Derived Biophysical Parameter Fields", "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. The FASIR NDVI data set was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea. The production of the dataset and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.\r\n\r\nAVHRR FASIR data is restricted to academic research use only.\r\n" }, { "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": [ 33568, 33567, 33570, 33571, 33572, 33573, 33574, 33569 ], "onlineresource_set": [] }, { "ob_id": 8446, "uuid": "c025eb1cb62acf6fc099c3450311772b", "title": "International Satellite Land Surface Climatology Project Initiative II: AVHRR series at NOAA polar orbiting satellites", "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This dataset was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2007-03-26T20:45:46", "updateFrequency": "", "dataLineage": "version 4.13 provided by Dr. Sietse Los.", "removedDataReason": "", "keywords": "BIOSPHERE EARTHSCIENCE", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-03-12T17:26:12", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 529, "bboxName": "Global (-180 to 180)", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": -90.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8447, "dataPath": "/neodc/avhrr_fasir/fasir_ndvi_monthly_xdeg", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 146139495, "numberOfFiles": 38, "fileFormat": "Data are ASCII formatted" }, "timePeriod": { "ob_id": 2419, "startTime": "1978-10-12T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 2230, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8454, "uuid": "61eb202bb81b4d9db5b68297a22dc7fb", "short_code": "cmppr", "title": "Composite Process for: Data from AVHRR series at NOAA polar orbiting satellites for the NOAA Polar Orbiting Satellite Series Project", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from AVHRR series at NOAA polar orbiting satellites for the NOAA Polar Orbiting Satellite Series Project; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA polar orbiting satellites; \n" }, "imageDetails": [ 6 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2646, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "avhrr_fasir", "label": "restricted: avhrr_fasir group", "licence": { "ob_id": 91, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/avhrr_fasir.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8448, "uuid": "f6c2c29e5d29eb559fee85837e6ad27e", "short_code": "proj", "title": "NOAA Polar Orbiting Satellite Series", "abstract": null } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 22325, 22334, 25848, 25902, 25927, 25930, 25931, 25932, 25985, 25987, 25988, 25993, 25994, 25996, 25997 ], "vocabularyKeywords": [], "identifier_set": [ 5396 ], "observationcollection_set": [ { "ob_id": 8440, "uuid": "547ac2223f87202f27a19f8266ca4358", "short_code": "coll", "title": "International Satellite Land Surface Climatology Project Initiative II (ISLSCP2): Multiple Resolution of a 17-year Record of the Fourier-Adjusted, Sensor and Solar Zenith Angle Corrected, Interpolated, Reconstructed (FASIR) Adjusted Normalized Difference Vegetation Index (NDVI) and Derived Biophysical Parameter Fields", "abstract": "The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. The FASIR NDVI data set was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea. The production of the dataset and its associated biophysical parameters was funded by NASA's Land Surface Hydrology program and the Higher Education Funding Council for Wales (HEFCW) as a core component of the International Satellite Land Surface Climatology Project (ISLSCP) Initiative II Data Collection.\r\n\r\nAVHRR FASIR data is restricted to academic research use only.\r\n" }, { "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": [ 33579, 33581, 33582, 33583, 33584, 33585, 33578, 33580 ], "onlineresource_set": [] }, { "ob_id": 8456, "uuid": "89a6078465eca969d258a069647ec120", "title": "Theme 5 (Cryosphere and Polar Oceans) Sea Ice Elevation and Thickness and Ice Sheet Elevation Change: ENVISAT Radar Altimeter 2 (RA-2) 5-year Time Series (2002-2008) of Ice Thickness 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. Under this theme, 5 year time series Ice thickness data used by Katharine Giles, Seymour Laxon and Andy Ridout in their paper \"Circumpolar thinning of Arctic sea ice following the 2007 record ice extent minimum\" (Geophysical Research Letters, Vol. 35, L22502, doi:10.1029/2008GL035710, 2008) are presented.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-12-19T15:54:48", "updateFrequency": "notPlanned", "dataLineage": "Data prepared by authors and sent to the NERC Earth Observation Data Centre (NEODC) where data were re-formatted to use the BADC-CSV (British Atmospheric Data Centre) file format prior to archiving at the NEODC.", "removedDataReason": "", "keywords": "ice, nceo, polar", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-09-04T15:38:00", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 192, "bboxName": "", "eastBoundLongitude": 180.0, "westBoundLongitude": -180.0, "southBoundLatitude": 65.0, "northBoundLatitude": 90.0 }, "verticalExtent": null, "result_field": { "ob_id": 8457, "dataPath": "/neodc/nceo-cryosphere/data/circumpolar-ice-thickness", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3301, "numberOfFiles": 2, "fileFormat": "BADC-CSV formatted file\r\n\r\n\r\n" }, "timePeriod": { "ob_id": 2420, "startTime": "2002-09-30T23:00:00", "endTime": "2008-03-30T23:00:00" }, "resultQuality": { "ob_id": 2231, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 13696, "uuid": "6e00bfc53c754e9c9383af0583d0e369", "short_code": "cmppr", "title": "Cryosphere and Polar Oceans Sea Ice Elevation and Thickness and Ice Sheet Elevation Change", "abstract": "Sea ice thickness anomalies from satellite radar altimeter data were first obtained by Laxon et al. [2003] using data from European Space Agency (ESA) satellites ERS-1 and ERS-2. The satellite radar altimetry data used in this study were taken from the ESA satellite Envisat between the winter season 2002/2003 (October to March) and the winter season 2007/2008. The RA-2 altimeter on Envisat includes a Ku-band, pulse-limited altimeter, similar to that employed on the earlier ERS satellites. These satellites have a latitudinal limit of 81.5° N and cover most of the first-year ice and more than half of the multi-year ice. We use a similar method to Laxon et al. [2003] to calculate sea ice thickness from measurements of ice freeboard (we define ice freeboard as the level of the snow/ice interface above the ocean), with a small additional correction for the radar travel time through the snow pack [Richardson et al., 1997]. This method excludes open water and ice less than 0.5 m thick from our estimates, but this has a marginal effect on our results [Laxon et al., 2003]. The technique involves measuring the sea ice freeboard height and the sea surface height [Peacock and Laxon, 2004] above a reference surface. Discrimination between the open water and newly frozen leads and ice floes is achieved by analyzing the return echo shape [Peacock and Laxon, 2004]. Ice freeboard is then calculated by subtracting the sea surface height from the ice freeboard height and is then converted to ice thickness by assuming hydrostatic equilibrium and using values of 915.1 kg m−3 and 1023.8 kg m−3 for the ice and water densities respectively [Wadhams et al., 1992], and a snow depth and density climatology from Warren et al. [1999].\r\n\r\nTo generate winter averages for each season, the data were seasonally adjusted to the 1st January using an average winter growth curve derived from the data. The seasonally adjusted data were averaged onto 100 × 100 km grid cells on a polar stereographic projection. We estimated the errors in ice thickness for each grid cell as follows: The error in the ice freeboard was calculated using equation (1) from Giles and Hvidegaard [2006], with an additional term to account for the error in the velocity of the radar signal through the snow pack. The error in the estimate of ice thickness in each grid cell was then calculated from equation (3) of Giles et al. [2007], with errors in the ice and water densities taken to be 5 kg m−3 and 0.5 kg m−3 respectively [Wadhams et al., 1992], the snow density error taken to be 3 kg m−3 [Warren et al., 1999], and snow depth error taken to be the interannual variability (IAV) in snow depth of 0.03 m from Radionov et al. [1996]. For each winter season we then calculated ice thickness anomalies for each grid cell, which contained data for all years, by removing the six-year mean thickness for that cell. The error in the anomaly for each grid cell was also computed. Our grids of ice thickness anomalies were then averaged over the Arctic for each winter season, inversely weighted by the error on each grid cell, to generate regional or circumpolar averages. " }, "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": [ 89552, 89553, 89554, 89555, 89556, 89557, 89558, 89559 ], "vocabularyKeywords": [], "identifier_set": [ 5404, 8613 ], "observationcollection_set": [ { "ob_id": 8455, "uuid": "4f574acb1c1c2e0a0c410ab0b4812c3f", "short_code": "coll", "title": "National Centre for Earth Observation (NCEO): Sea Ice Elevation and Thickness and Ice Sheet Elevation Change 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. The data brings together altimetry, interferometry and gravimetry from satellites, coupled with numeric models. Ice thickness data used by Katharine Giles, Seymour Laxon and Andy Ridout in their paper \"Circumpolar thinning of Arctic sea ice following the 2007 record ice extent minimum\" (Geophysical Research Letters, Vol. 35, L22502, doi:10.1029/2008GL035710, 2008) are part of this dataset along with others to be submitted to the NEODC at a later time." }, { "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": [ 33602, 33608, 33604, 33605, 33606, 42840, 42836, 33603, 42837, 54741, 42838, 42839 ], "onlineresource_set": [ 4159 ] }, { "ob_id": 8459, "uuid": "a00b9dcac27b6633874b6879b5537a83", "title": "SHAC2000: E-Synthetic Aperture Radar measurements at DLR Aircraft 2", "abstract": "Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T22:23:27", "updateFrequency": "notPlanned", "dataLineage": "Data prepared by the SHAC2000 team before delivery and archiving at the NEODC", "removedDataReason": "", "keywords": "SHAC2000, aircraft, monitoring, radar", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-03-19T11:45:33", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 193, "bboxName": "", "eastBoundLongitude": 1.0, "westBoundLongitude": -5.0, "southBoundLatitude": 50.0, "northBoundLatitude": 53.0 }, "verticalExtent": null, "result_field": { "ob_id": 8460, "dataPath": "/neodc/shac2000/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 95746468209, "numberOfFiles": 108, "fileFormat": "Data are ENVI formatted" }, "timePeriod": { "ob_id": 3763, "startTime": "2000-06-29T23:00:00", "endTime": "2000-07-06T22:59:59" }, "resultQuality": { "ob_id": 2232, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-21" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 14191, "uuid": "96f0ecd6260d4ec4be4391b27fd75711", "short_code": "cmppr", "title": "Composite process for: Data from SHAC2000 E-Synthetic Aperture Radar at DLR Aircraft 2 (SHAC ESAR) for the SHAC Barton Bendish Campaign", "abstract": "Composite process for: Data from SHAC2000 E-Synthetic Aperture Radar at DLR Aircraft 2 (SHAC ESAR) for the SHAC Barton Bendish Campaign created through merger of other records" }, "imageDetails": [ 18 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2637, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "shac2000", "label": "restricted: shac2000 group", "licence": { "ob_id": 86, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/shac2000.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8461, "uuid": "a2c30ddf9eb6fe3c979faa0866f28b37", "short_code": "proj", "title": "SHAC 2000 Campaign", "abstract": "Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5407, 5414, 5417, 5420, 5423, 5426, 5429, 5432, 5435, 5438, 5449, 5452, 5441, 5459, 5453, 5446, 5456, 8328, 5447, 5448 ], "observationcollection_set": [ { "ob_id": 8458, "uuid": "1db3e88545c077fdc469c02cc27e4c9b", "short_code": "coll", "title": "Synthetic Aperture radar and Hyperspectral airborne Campaign (SHAC2000)", "abstract": "Data from the Synthetic Aperture Radar and Hyperspectral Airborne campaign (SHAC) run by the Natural Environment Research Council (NERC) and the British National Space Centre (BNSC). The campaign intended to provide support for industrial and academic research into earth resource and environmental monitoring. The campaign was managed by NRSC- now Infoterra. Fourteen different locations were flown in May and June 2000 in the campaign (see Fig.1), logistical constraints requiring two aircraft be used to fly the two instruments individually.\r\n\r\nThe campaign involved a large number of researchers from NERC-EPFS and CEH, BAE Systems and InfoTerra on the ground collecting information vital to making best use of the airborne data: simultaneous spectral, sun photometer and GPS measurements and the installation by DERA, now QinetiQ, of corner reflectors to gain geo-coding of the E-SAR data. The outcome was previously unavailable, state-of the art, airborne data of the UK, which informed 11 research projects.\r\n\r\nThe following list details the various SHAC2000 projects flown\r\n\r\nScotSHAC campaign in Glen Affric\r\nWoodhouse, I., University of Edinburgh\r\nFractional ground cover estimation from hyperspectral radiometry.\r\nDavenport, I., University of Reading\r\nRadar measurements of wheat crops at the Boxworth site.\r\nQuegan, S., University of Sheffield\r\nLand Surface Biophysical Parameters from Multi-angular Hyperspectral and SAR data.\r\nLewis, P. , UCL\r\nCarbon Offset Verification of Forest Ecosystems.\r\nDawson, T. , University of Oxford\r\nRemote Sensing of Leaks from Aqueducts.\r\nMalthus, T.,University of Edinburgh\r\nIntegration of SAR and hyperspectral airborne data for quantitative analysis of estuarine convergent fronts and water quality (ref: BNSC SHAC 99/004).\r\nFerrier, G., University of Hull\r\nSynergy of HyMap and digital elevation data for the analysis of upland peat erosion pattern and composition.\r\nMcMorrow, J., University of Manchester\r\nThetford Forest: Retrieval of biodiversity indicators for temperate forest from remote sensing; and Monks Wood: Quantifying habitat structure and quality for woodland birds.\r\nBalzter, H., CEH- NERC\r\nRemote sensing of hydrology and vegetation dynamics in the New Forest.\r\nMilton, E., University of Southampton\r\nAssessing the environmental impact of historical basemetal mining at Parys Mountain, Anglesey, with HyMap data.\r\nLamb, A. and Denniss, A., Infoterra Ltd." } ], "responsiblepartyinfo_set": [ 33618, 33623, 33617, 33620, 33621, 33622, 33624, 33619, 54607, 54608, 54609, 54610, 54611, 54612, 54613, 54614, 54615, 54616, 54617, 54618 ], "onlineresource_set": [ 5291 ] }, { "ob_id": 8543, "uuid": "1d700e888e08a686f302ba31572429de", "title": "MIPAS ENVISAT Level 2 data (July 2002 - March 2004) Processor version IPF v4", "abstract": "Level 2 processing consolidated and reprocesses data from July 2002 to March 2004 from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by the European Space Agency (ESA).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2005-12-15T10:35:19", "updateFrequency": "notPlanned", "dataLineage": "Data acquired directly from ESA (European Space Agency) via a number of routes: File Transfer Protocol (FTP), Linear Tape-Open (LTO) tape transfer and Data Dissemination Service (DDS) link", "removedDataReason": "", "keywords": "ATMOSPHERE EARTHSCIENCE SPECTRAL", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-07-03T16:35:05", "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": 8544, "dataPath": "/neodc/mipas/data/l2/reprocessed/v4", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 30404914554, "numberOfFiles": 3260, "fileFormat": "Data are Envisat formatted. " }, "timePeriod": { "ob_id": 2441, "startTime": "2002-06-30T23:00:00", "endTime": "2004-03-30T23:00:00" }, "resultQuality": { "ob_id": 2252, "explanation": "Operational data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-08-12" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8546, "uuid": "848a92ae94f64fc48bbba881bd918fb1", "short_code": "acq", "title": "Acquisition Process for: ENVISAT MIPAS Level 2 consolidated and reprocessed data (July 2002 - March 2004)", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: MIPAS Level 2 data processing, Envisat - MIPAS (Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) Instrument; PLATFORMS: ESA ENVISAT Processing Ground Station; " }, "procedureComputation": null, "procedureCompositeProcess": null, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2574, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "mipas", "label": "restricted: mipas group", "licence": { "ob_id": 41, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/mipas.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "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": [ 21758, 21771, 21817, 21823, 21935, 21948, 22848, 25383, 25388, 25393, 25394, 25396, 25397, 25398, 25399, 25400, 25844, 25845, 25851, 25864, 25878, 25879, 25881, 25882, 25935, 25940, 25979, 25983, 25998, 25999, 26000, 26001 ], "vocabularyKeywords": [], "identifier_set": [ 5472 ], "observationcollection_set": [ { "ob_id": 8536, "uuid": "4a9da084adf4252752e5fe77a5cfd0a9", "short_code": "coll", "title": "Emission Spectra Data and Derived Products from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on-board the European Space Agency (ESA) Envisat Satellite", "abstract": "The Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) is one of the ten instruments onboard the Envisat satellite launched from Kourou (French Guyana) on the 28th February 2002 and operated by the European Space Agency (ESA). MIPAS is a Fourier transform spectrometer for the measurement of high-resolution gaseous emission spectra at the Earth's limb. It operates in the near- to mid-infrared, where many of the main atmospheric trace gases have important emission features. Its main objectives are to provide simultaneous and global measurements of the middle atmosphere dynamics, radiation budget and chemical composition (O3, H2O, CH4, N2O, HNO3, NO2), and to monitor stratospheric ozone and CFCs.\r\n\r\nThe data issues by ESA include both Level 1B (emission spectra) and Level 2 (derived quantities) products. They come in a number of versions: a near real time (nrt) version, a consolidated version, result of a first processing by ESA to eliminate bad data and perform a few basic checks, and fully reprocessed spectra. MIPAS is a Fourier transform spectrometer for the measurement of high-resolution gaseous emission spectra at the Earth's limb. It operates in the near- to mid-infrared spectra. \r\n\r\nThe data routinely archived at the NEODC is received from ESA through different routes (DDS, FTP, tapes). The archive currently includes:\r\n\r\nLevel 1B data (emission spectra)\r\nNRT data - September 2002 - May 2011\r\nconsolidated data - June 2002 - January 2004\r\nreprocessed data - July 2002 - April 2012 - processing versions v4.x (2002-2010) and v5.x (2002-2012)\r\nLevel 2 data (derived products)\r\nconsolidated data - July 2002 - February 2004\r\nreprocessed data - July 2002 - March 2004" }, { "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": [ 33814, 33819, 33813, 33817, 33818, 33820, 33816, 33815 ], "onlineresource_set": [] }, { "ob_id": 8548, "uuid": "e1449eac35108b49d3a0af26bb6d2060", "title": "UK building heights", "abstract": "A database of building heights for the main conurbations of the UK, acquired by the Landmap project from The GeoInformation Group's Cities Revealed project. The height information is derived principally from the Cities Revealed LiDAR or Modern aerial imagery (see linked datasets). Each building block has three values: base of building above sea level, top of the building above sea level and height of building above local ground level. Accurate to +/- 0.5m with 95% confidence limits.\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 for the majority of the UK, part of which was buildings 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 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": "2014-09-08T15:09:29.048449", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data was obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-22T07:22:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 194, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -10.7, "southBoundLatitude": 50.0, "northBoundLatitude": 58.6 }, "verticalExtent": null, "result_field": { "ob_id": 8549, "dataPath": "/neodc/landmap/data/feature/building_heights", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2637781060, "numberOfFiles": 7910, "fileFormat": "Data are available as shapefiles, which comprise of .shp, .shx and .dbf files.\r\n\r\nshp - shape format; the feature geometry itself\r\nshx - shape index format; a positional index of the feature geometry to allow seeking forwards and backwards quickly\r\ndbf - attribute format; columnar attributes for each shape, in dBase IV format\r\n\r\nAlso provided are prj, sbn, sbx and xml files.\r\nprj - projection format; the coordinate system and projection information, a plain text file describing the projection\r\nsbn and sbx - a spatial index of the features\r\nxml - location and other associated information\r\n\r\nFree software can be used to open shapefiles, such as Quantum GIS (QGIS) or User-friendly Desktop Internet GIS (uDig) - see links on this record." }, "timePeriod": null, "resultQuality": { "ob_id": 2253, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8551, "uuid": "c4d1324a7993448d9ba006a09972937e", "short_code": "acq", "title": "Acquisition Process for: UK building heights", "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": [ 5476 ], "observationcollection_set": [ { "ob_id": 8547, "uuid": "42bcf75ae7f0b2a12d84dfa2216c31e5", "short_code": "coll", "title": "Landmap: Features Earth Observation Collection", "abstract": "The Landmap project features data collection consists of building heights, classes of buildings (including place names) for the main conurbations of the UK, and Kinematic GPS (KGPS) data for over 6,400km of roads. 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": [ 33831, 33833, 33834, 33835, 44098, 44100, 33832, 44099 ], "onlineresource_set": [ 4191, 4192, 4193, 43544, 43545, 43546 ] }, { "ob_id": 8552, "uuid": "cf27c81e7f54c3701899017d1b810f81", "title": "UK building classes", "abstract": "The Building Class data provides detailed information about residential housing types including the house age and structural type. This information can be used for urban regeneration studies, crime monitoring, urban flooding and urban gardens. These data were collected by The GeoInformation Group (TGG), primarily through interpretation of high-resolution aerial photography, as part of the Cities Revealed project. The data were subsequently acquired by the Landmap project.\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 for the majority of the UK, part of which was buildings 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 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": "2020-05-29T17:10:17", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data was obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-22T08:03:08", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 194, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -10.7, "southBoundLatitude": 50.0, "northBoundLatitude": 58.6 }, "verticalExtent": null, "result_field": { "ob_id": 8553, "dataPath": "/neodc/landmap/data/feature/building_class_100x100km", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3240512447, "numberOfFiles": 4494, "fileFormat": "Data are available as shapefiles in 100x100km tiles. The location of the tiles can be determined by the key provided with the data. The shapefiles comprise of .shp, .shx and .dbf files.\r\n\r\nshp - shape format; the feature geometry itself\r\nshx - shape index format; a positional index of the feature geometry to allow seeking forwards and backwards quickly\r\ndbf - attribute format; columnar attributes for each shape, in dBase IV format\r\n\r\nAlso provided are prj, sbn, sbx and xml files.\r\n\r\nprj - projection format; the coordinate system and projection information, a plain text file describing the projection\r\nsbn and sbx - a spatial index of the features\r\nxml - location and other associated information\r\n\r\nFree software can be used to open shapefiles, such as Quantum GIS (QGIS) or User-friendly Desktop Internet GIS (uDig) - see links.\r\n\r\nThe classifications found in the attribute table (dbf files) of the shapefiles can be identified using this building class reference sheet (see links). There are 9 Age categories and 19 Type categories. Not all the Age/Type combinations are used, for example there are no Early and Middle Victorian very tall flats (point blocks) in the current edition of the classification (Version 6 September 2012). The current database for the UK does not contain Age categories 1 and 2 and only one type for Age 8. Also the type categories of Medium Height flats 5-6 storeys (3), Tall Terraces 3-4 storeys (5) and Very Large Detached Houses, Sometimes converted to flats (15) have been removed. These are all indicated by the DNU label in the classification sheet. More information can be found on in the The GeoInformation Group guide to the building class dataset (see links)." }, "timePeriod": { "ob_id": 3408, "startTime": "2012-01-01T00:00:00", "endTime": "2012-12-31T00:00:00" }, "resultQuality": { "ob_id": 2254, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8555, "uuid": "943bdfaa17214cc1b0818378f98871a6", "short_code": "acq", "title": "Acquisition Process for: UK building classes", "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": [ 5477 ], "observationcollection_set": [ { "ob_id": 8547, "uuid": "42bcf75ae7f0b2a12d84dfa2216c31e5", "short_code": "coll", "title": "Landmap: Features Earth Observation Collection", "abstract": "The Landmap project features data collection consists of building heights, classes of buildings (including place names) for the main conurbations of the UK, and Kinematic GPS (KGPS) data for over 6,400km of roads. 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": [ 33839, 33841, 33842, 33843, 43894, 43896, 33840, 43895 ], "onlineresource_set": [ 4196, 4197, 4200, 4199, 4201, 4202, 43547, 43548 ] }, { "ob_id": 8556, "uuid": "a65271e219166c827c1724d96172c014", "title": "UK building blocks", "abstract": "This dataset is a combination of the The GeoInformation Groups' Cities Revealed UK building heights and UK individual building classes datasets, although height information is lacking for some buildings, so users may wish to check the UK building heights database in these cases. This dataset provides outlines of building blocks with height information derived from the Cities Revealed LiDAR surveys, high-resolution aerial photography and other height data sources combined with Building Class data. The data were acquired by the Landmap project from The GeoInformation Group (TGG). 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 buildings 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 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": "2014-09-08T15:08:02.795495", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data was obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-22T09:36:31", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 194, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -10.7, "southBoundLatitude": 50.0, "northBoundLatitude": 58.6 }, "verticalExtent": null, "result_field": { "ob_id": 8557, "dataPath": "/neodc/landmap/data/feature/building_blocks", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1855396114, "numberOfFiles": 952, "fileFormat": "<div property=\"cedacat:formats\">\r\n\r\nData are available as shapefiles, which comprise of .shp, .shx and .dbf files. \r\n<ul>\r\n<li>shp - shape format; the feature geometry itself</li>\r\n<li>shx - shape index format; a positional index of the feature geometry to allow seeking forwards and backwards quickly</li>\r\n<li>dbf - attribute format; columnar attributes for each shape, in dBase IV format</li>\r\n</ul>\r\nAlso provided are prj, sbn, sbx and xml files.\r\n<ul>\r\n<li>prj - projection format; the coordinate system and projection information, a plain text file describing the projection</li>\r\n<li>sbn and sbx - a spatial index of the features</li>\r\n<li>xml - location and other associated information</li>\r\n</ul>\r\nFree software can be used to open shapefiles, such as <a href=\"http://www.qgis.org/en/site/\">Quantum GIS (QGIS)</a> or <a href=\"http://udig.refractions.net/\">User-friendly Desktop Internet GIS (uDig)</a>.<p>\r\n</p>\r\nThe classifications attributes found in the attribute table (dbf files) of the shapefiles can be identified using this <a href=\"http://www.geoinformationgroup.co.uk/wp-content/uploads/2011/05/Building-Class-Reference-Sheet-V4-May-11.pdf\">building class reference sheet</a>. There are 9 Age categories and 19 Type categories. Not all the Age/Type combinations are used, for example there are no Early and Middle Victorian very tall flats (point blocks) in the current edition of the classification (Version 6 September 2012). The current database for the UK does not contain Age categories 1 and 2 and only one type for Age 8. Also the type categories of Medium Height flats 5-6 storeys (3), Tall Terraces 3-4 storeys (5) and Very Large Detached Houses, Sometimes converted to flats (15) have been removed. These are all indicated by the DNU label in the classification sheet. More information can be found on in the The GeoInformation Group <a href=\"http://badc.nerc.ac.uk/browse/neodc/landmap/documents/Building_Class_Notes_2012.pdf\">guide to the building class dataset (link here)</a>. All building blocks have also have a height attribute, HGT, this value is the height of the building blocks from the base to the top of the building. In some cases this information is not supplied and presented as 0.</p>\r\n</div>\r\n\r\n\r\n" }, "timePeriod": null, "resultQuality": { "ob_id": 2255, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8559, "uuid": "d8b246f1e88c4de4a07f9f26b7185477", "short_code": "acq", "title": "Acquisition Process for: UK building blocks", "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": [ 5478 ], "observationcollection_set": [ { "ob_id": 8547, "uuid": "42bcf75ae7f0b2a12d84dfa2216c31e5", "short_code": "coll", "title": "Landmap: Features Earth Observation Collection", "abstract": "The Landmap project features data collection consists of building heights, classes of buildings (including place names) for the main conurbations of the UK, and Kinematic GPS (KGPS) data for over 6,400km of roads. 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": [ 33847, 33849, 33850, 33851, 43177, 43179, 33848, 43178 ], "onlineresource_set": [ 4204, 4205, 4206, 4208, 4207, 4209, 4210 ] }, { "ob_id": 8560, "uuid": "6317f5fec38112c203357a6ec7270bf4", "title": "Kinematic GPS (KGPS) data for UK roads", "abstract": "The Kinematic GPS (KGPS) data provide accurate high-resolution locational data of approximately 6400 km of roads in Great Britain using circular and/or linear transect data collected during two fieldwork campaigns (details below) carried out by the Landmap project team in order to validate the various Landmap image and elevation products. When processed, this data yields accurate 3-D coordinates that can be used for quality assessment purposes. Kinematic GPS is a technique used to enhance the precision of standard GPS, using a reference receiver of known location, such as a main road, to make corrections to the standard GPS-determined location yielding centimetre-level accuracy.\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 for the majority of the UK, part of which was buildings 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\nCampaign 1\r\n\r\nThe first campaign, carried out in September 1999, required the kinematic GPS profiles for a number of pre-defined circular routes. This suited a 'Real-time Kinematic' (RTK-GPS) survey technique in which both GPS code pseudorange and carrier-phase measurements are recorded. This method is capable of yielding sub-decimetre accuracy over short baselines, generally less than 50 km.\r\n\r\nThe observing schedule was such that the reference receiver was established at a location deemed to be the centroid of the day's route so that the baseline distances from the 'local' reference receiver to mobile receiver would be kept to a minimum preventing the accumulation of distance-dependent errors. The mobile receiver would then be driven along the predefined route recording satellite observations at a rate of 5 Hz. Once the route was completed, the local reference station team was picked up and the entire team prepared to observe the next scheduled loop.\r\n\r\nThe mobile team covered almost 4,000 miles during the 14 days of the first campaign with the predefined circular routes representing some 2,800 miles (4,506km) of that total.\r\n\r\nCampaign 2\r\n\r\nThe second campaign which took place during May and June of 2000 was geared to a different set of objectives and therefore had an observing schedule different to that of the first campaign. There was a requirement to observe some long GPS profiles that would essentially span a number of satellite-pass strips / several stereo-pair strips permitting some checking of the strip matching procedures using orthorectification techniques.\r\n\r\nThe establishment of a 'local' reference receiver station alongside each section of these proposed transects would have been too demanding in both time and logistics so an alternative processing approach was decided upon. The observing procedure was identical to that of the first campaign with the exception that the 'local' reference receiver remained in the same location for the duration of the campaign. A high-precision geodetic GPS receiver was established at a point of known co-ordinates at University College London where it collected GPS observations for the 9 days of this second campaign. The mobile receiver was driven along the required profiles recording data at a rate of 5Hz.\r\n\r\nThe routes followed for this second campaign contained a number of features as requested by the SPOT processing team that would aid them in their orthorectification tasks. One particular request was that a number of crossovers should be performed at major junctions whereby a mile or two of additional observations were taken on the feeder roads for the junction in question. Such manoeuvres provide the processing / imaging team with a greater number of features to identity and refer to as part of their orthorectification quality assessment routines. The nature of the road network in some areas meant that several long stretches of road were retraced or intersected which allowed some error checking.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2014-09-08T15:07:55.908115", "updateFrequency": "notPlanned", "dataLineage": "Data collected and prepared by the Landmap team before a copy of the data was obtained by NEODC directly from Landmap.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": true, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2014-08-22T11:08:06", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 194, "bboxName": "", "eastBoundLongitude": 1.7, "westBoundLongitude": -10.7, "southBoundLatitude": 50.0, "northBoundLatitude": 58.6 }, "verticalExtent": null, "result_field": { "ob_id": 8561, "dataPath": "/neodc/landmap/data/feature/kgps", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 74647258, "numberOfFiles": 188, "fileFormat": "Data are available as shapefiles, which comprise of .shp, .shx and .dbf files.\r\n\r\nshp - shape format; the feature geometry itself\r\nshx - shape index format; a positional index of the feature geometry to allow seeking forwards and backwards quickly\r\ndbf - attribute format; columnar attributes for each shape, in dBase IV format\r\n\r\nAlso provided are prj, sbn, sbx and xml files.\r\nprj - projection format; the coordinate system and projection information, a plain text file describing the projection\r\nsbn and sbx - a spatial index of the features\r\nxml - location and other associated information\r\n\r\nFree software can be used to open shapefiles, such as Quantum GIS (QGIS) or User-friendly Desktop Internet GIS (uDig) (see links on this record).\r\n\r\nData are available by day or by campaign. kgps_all_circular and kgps_all_linear files represent all the data for the the first and second campaigns respectively. kgps_dayX where X is a number from 1 to 155 represent the data for a particular day of the campaigns. Days 1 through 13 inclusive represent campaign 1 and days 144 through 155 inclusive represent campaign 2." }, "timePeriod": { "ob_id": 2445, "startTime": "1999-08-31T23:00:00", "endTime": "2000-06-29T23:00:00" }, "resultQuality": { "ob_id": 2256, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-09-11" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8565, "uuid": "b7059644c4484dcd9fcb5a7f0a233458", "short_code": "acq", "title": "Acquisition Process for: Kinematic GPS (KGPS) data for UK roads", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Leica Geosystems System 500 and MC1000 units, Javad Eurocard receiver system, Leica choke-ring antenna; " }, "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": [ 5479 ], "observationcollection_set": [ { "ob_id": 8547, "uuid": "42bcf75ae7f0b2a12d84dfa2216c31e5", "short_code": "coll", "title": "Landmap: Features Earth Observation Collection", "abstract": "The Landmap project features data collection consists of building heights, classes of buildings (including place names) for the main conurbations of the UK, and Kinematic GPS (KGPS) data for over 6,400km of roads. 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": [ 33855, 33857, 33858, 33859, 42358, 42359, 108890, 33856 ], "onlineresource_set": [ 4212, 4213, 4214, 4215, 43540, 43541, 43542, 43543, 6297, 6299, 6298, 6296 ] }, { "ob_id": 8567, "uuid": "ea46600afc4559827f31dbfbb8894c2e", "title": "IASI atmospheric spectra (L1C product) from the EPS Metop-A satellite: CEDA mirror archive for STFC, NCAS, NCEO", "abstract": "This dataset contains level 1C data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument onboard the Eumetsat EPS Metop-A satellite. \r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. The IASI L1c product contains infra-red radiance spectra at the 0.5cm-1 resolution, covering the range between 645.0 cm-1 and 2760 cm-1\r\n\r\nThis data set contains both the original processed data and reprocessed archive. In the following directories based on processing algorithm. Please see information under the process tab for further information. Please note an erratum has been raised in relation to 2017 data please see the Ten-Year Assessment of IASI Radiance and Temperature in the documentation section.\r\n\r\nThis data has been provided by EUMETSAT to CEDA to support access to active scientists from the following institutions only \r\n\r\n- The Science and Technology Facilities Council (STFC)\r\n- The National Centre for Earth Observation (NCEO)\r\n- The National Centre for Atmospheric Science (NCAS)\r\n\r\nIf you are from one of these institutions, please apply for access below and follow the instructions. If you are not from one of these institutions, please go to the documentation section for the relevant link to the EUMETSAT EO portal where you can obtain the data directly.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2022-01-25T15:54:51", "updateFrequency": "asNeeded", "dataLineage": "Data collected and prepared by EUMETSAT before a copy was obtained by CEDA directly from EUMETSAT", "removedDataReason": "", "keywords": "IASI, EPS, satellite, temperature, troposphere, stratosphere, Metop-A", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2009-05-08T11:46:04", "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": 8568, "dataPath": "/neodc/iasi_metop_a/data/l1c", "oldDataPath": [ 32893 ], "storageLocation": "internal", "storageStatus": "online", "volume": 261751370793622, "numberOfFiles": 126397, "fileFormat": "Data are in Eumetsat native format" }, "timePeriod": { "ob_id": 2446, "startTime": "2007-05-28T23:00:00", "endTime": null }, "resultQuality": { "ob_id": 2257, "explanation": "Please see EUMETSAT for details regarding data quality for IASI data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8571, "uuid": "2d604814911a4c47a252718865f8279a", "short_code": "cmppr", "title": "Composite Process for Level 1C data products from the IASI (Infrared Atmospheric Sounding Interferometer) instrument onboard the Eumetsat EPS MetOp - A satellite.", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for Level 1C data products from the IASI (Infrared Atmospheric Sounding Interferometer) instrument onboard the Eumetsat EPS MetOp-A satellite.; \r\n2. Computation: for IASI instrument deployed on Metop-A; for the following versions of data\r\nThis data set contains both the original processed data and reprocessed archive. in the following directories based on processing algorithm\r\nv0-0N: Original processing years 2011-2012\r\nv3-6N: Original processing years 2007\r\nv4-0N: Original processing years 2007-2010\r\nv5-0N: Original processing years 2010\r\nv5-1N: Original processing years 2010-2011\r\nv6-2N: Original processing years 2012-2014\r\nv6-5N: Original processing years 2013\r\nv7-0N: Original processing years 2013-2014\r\nv7-1N: Original processing years 2014-2015\r\nv7-2N: Original processing years 2015\r\nv7-3N: Original processing years 2015-2017\r\nv7-4N: Original processing years 2017\r\nv8-0N: Original processing years 2017-2018\r\nv8-0R: Reprocessed Archive years 2007-2017\r\nv8-2N: Original processing years 2019 - being acquired on an ongoing basis" }, "imageDetails": [ 112 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2663, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "metop_iasi", "label": "restricted: metop_iasi group", "licence": { "ob_id": 103, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/Eumetsat%20Data_Policy.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" } ] } } ], "projects": [ { "ob_id": 19624, "uuid": "b5b75aa0921840afa4f88f0d61916020", "short_code": "proj", "title": "Infrared Atmospheric Sounding Interferometer (IASI)", "abstract": "IASI main aim was to payload instrument for the purpose of supporting Numerical Weather prediction. It provides information on the vertical structure of the atmospheric temperature and humidity in an unprecedented accuracy of 1 K and a vertical resolution of 1 km, which is needed to decisively improve NWP. \r\n\r\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. Data were directly acquired from Eumetsat and are held at the NERC Earth Observation Data Centre (NEODC)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21757, 21758, 21761, 21771, 21774, 21775, 21788, 21819, 21821, 21919, 21962, 21974, 21975, 21976, 22349, 22419, 22423, 22598, 22602, 22768, 22848, 23075, 23080, 23081, 23104, 24484 ], "vocabularyKeywords": [], "identifier_set": [ 5485 ], "observationcollection_set": [ { "ob_id": 8566, "uuid": "1977a2db646c506d0fc31bca6c6c080e", "short_code": "coll", "title": "Infrared Atmospheric Sounding Interferometer (IASI) data taken on-board the Eumetsat Polar System (EPS) Metop-A Satellite", "abstract": "This dataset collection contains measurements from Infrared Atmospheric Sounding Interferometer (IASI) instrument on-board the Eumetsat Polar System Metop-A satellite. The IASI is designed to measure the infrared spectrum emitted by the Earth.\r\n\r\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. Data were directly acquired from Eumetsat and are held at the NERC Earth Observation Data Centre (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": [ 33876, 33881, 33878, 33879, 33880, 33882, 33875, 142454 ], "onlineresource_set": [ 41942, 41957, 41959, 41958 ] }, { "ob_id": 8572, "uuid": "a7f8fdc2ed8bfd16651d201e44384029", "title": "IASI: Atmospheric sounding Level 2 data products", "abstract": "This dataset contains level 2 data products from the Infrared Atmospheric Sounding Interferometer (IASI) instrument on board the Eumetsat EPS Metop-A satellite. \r\n\r\nIASI was designed to measure the infrared spectrum emitted by the earth. IASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, as well as some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-05-04T05:04:30", "updateFrequency": "asNeeded", "dataLineage": "Data collected and prepared by EUMETSAT before a copy is obtained by NEODC direct from EUMETSAT", "removedDataReason": "", "keywords": "IASI, EPS, satellite, temperature, troposphere, stratosphere", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2012-06-01T14:10:15", "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": 32892, "dataPath": "/neodc/iasi_metop_a/data/l2", "oldDataPath": [ 8573 ], "storageLocation": "internal", "storageStatus": "online", "volume": 3673032085102, "numberOfFiles": 59131, "fileFormat": "Data are in EUMETSAT native format" }, "timePeriod": { "ob_id": 2448, "startTime": "2007-11-22T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 2258, "explanation": "Please see EUMETSAT for details regarding data quality for IASI data", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-06-11" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8576, "uuid": "5e7e5e6979de47d19cbaf089ed6d0d05", "short_code": "cmppr", "title": "Composite Process for: IASI Level 2 Data Products", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: IASI Level 2 Data Products; \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": 2663, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "metop_iasi", "label": "restricted: metop_iasi group", "licence": { "ob_id": 103, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/Eumetsat%20Data_Policy.pdf", "licenceClassifications": [ { "ob_id": 7, "classification": "specific" } ] } } ], "projects": [ { "ob_id": 19624, "uuid": "b5b75aa0921840afa4f88f0d61916020", "short_code": "proj", "title": "Infrared Atmospheric Sounding Interferometer (IASI)", "abstract": "IASI main aim was to payload instrument for the purpose of supporting Numerical Weather prediction. It provides information on the vertical structure of the atmospheric temperature and humidity in an unprecedented accuracy of 1 K and a vertical resolution of 1 km, which is needed to decisively improve NWP. \r\n\r\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. Data were directly acquired from Eumetsat and are held at the NERC Earth Observation Data Centre (NEODC)." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 21758, 21771, 21919, 21962, 21974, 22848, 25383, 25393, 25394, 25398, 25399, 25844, 25845, 25850, 25856, 25860, 25879, 25881, 25882, 25885, 25933, 25935, 25940, 25998, 25999, 52939 ], "vocabularyKeywords": [], "identifier_set": [ 5486 ], "observationcollection_set": [ { "ob_id": 8566, "uuid": "1977a2db646c506d0fc31bca6c6c080e", "short_code": "coll", "title": "Infrared Atmospheric Sounding Interferometer (IASI) data taken on-board the Eumetsat Polar System (EPS) Metop-A Satellite", "abstract": "This dataset collection contains measurements from Infrared Atmospheric Sounding Interferometer (IASI) instrument on-board the Eumetsat Polar System Metop-A satellite. The IASI is designed to measure the infrared spectrum emitted by the Earth.\r\n\r\nIASI provides infrared soundings of the temperature profiles in the troposphere and lower stratosphere, moisture profiles in the troposphere, and some of the chemical components playing a key role in the climate monitoring, global change and atmospheric chemistry. Data were directly acquired from Eumetsat and are held at the NERC Earth Observation Data Centre (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": [ 33884, 33889, 33883, 33886, 33887, 33888, 33890, 33885 ], "onlineresource_set": [ 4227 ] }, { "ob_id": 8578, "uuid": "9399794eafb50c208428eda6fa7e5cc6", "title": "Data from Thematic Mapper (LS5) at Landsat5 for the Landsat Campaign", "abstract": "Landsat 4 and Landsat 5 carry both the TM (thematic mapper) and the MSS (multi-spectral scanner) sensors, though routine collection of MSS data was terminated in late 1992. The satellites orbit at an altitude of 705 km and provide a 16-day, 233-orbit cycle with a swath overlap that varies from 7 percent at the Equator to nearly 84 percent at 81 degrees north or south latitude. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The Landsat program is jointly managed by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2008-09-11T10:26:26", "updateFrequency": "asNeeded", "dataLineage": "THIS IS REQUIRED!", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "ongoing", "dataPublishedTime": "2007-05-16T07:55:45", "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": 8579, "dataPath": "/neodc/landsat45tm", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 109062676522, "numberOfFiles": 10815, "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Data availability and file format</div>\n<p> NEODC archive is available <a href=\"http://www.neodc.rl.ac.uk/datasearch/index.php?platform_type=satellite\" target=\"_blank\">here</a> to search NEODC holdings of Landsat 4 &amp; 5 TM data or use the <a href=\"http://www.neodc.rl.ac.uk/maps/mapserver_neodc/dbox/neodc/neodc_coverage.html\">Interactive Map</a></p>\n\n<p>To browse the original data producer's archive click here: <a href=\"http://edcsns17.cr.usgs.gov/EarthExplorer/\">USGS Eros Data Centre</a>.</p>\n<p>Other suppliers are available here:</p>\n<ul>\n<li><a href=\"http://www.infoterra-global.com\">Infoterra</a></li>\n<li><a href=\"http://www.eurimage.com\">Eurimage</a></li>\n<li><a href=\"http://www.npagroup.com\">NPA Group</a></li>\n</ul>\n\n<p>The file format is ESA CEOS Landsat format - Details on how to open those types of files is available at <a href=\"http://geol.hu/data/online_help/Opening_External_Files.html\">http://geol.hu/data/online_help/Opening_External_Files.html</a>\n\n</p></div>\n\n\n" }, "timePeriod": { "ob_id": 2450, "startTime": "1984-03-01T00:00:00", "endTime": null }, "resultQuality": { "ob_id": 2259, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-26" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8583, "uuid": "058a467ead8f4acc9736fb3f77a423ee", "short_code": "cmppr", "title": "Composite Process for: Data from Thematic Mapper (LS5) at Landsat5 for the Landsat Campaign", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Data from Thematic Mapper (LS5) at Landsat5 for the Landsat Campaign; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Landsat5; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2635, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "landsat7etm", "label": "restricted: landsat7etm group", "licence": { "ob_id": 85, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/landsat7etm_conditions.pdf", "licenceClassifications": [ { "ob_id": 4, "classification": "academic" } ] } } ], "projects": [ { "ob_id": 8334, "uuid": "4e5dea57e8f01c2824b2169683822b56", "short_code": "proj", "title": "Landsat", "abstract": "Landsat satellites have been collecting images of the Earth's surface for more than thirty years. NASA launched the first Landsat satellite in 1972, and the most recent one, Landsat 8, in 2013. Instruments onboard the satellites have acquired millions of images of the Earth. These images provide a unique resource for people who work in agriculture, geology, forestry, regional planning, education, mapping, and global change research." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5489 ], "observationcollection_set": [ { "ob_id": 8577, "uuid": "e964b463ced4f4198f365cccd2633e6e", "short_code": "coll", "title": "Landsat 4 and 5 Thematic Mapper (TM) imagery collection", "abstract": "Landsat 4 and Landsat 5 carry both the TM (thematic mapper) and the MSS (multi-spectral scanner) sensors, though routine collection of MSS data was terminated in late 1992. The satellites orbit at an altitude of 705 km and provide a 16-day, 233-orbit cycle with a swath overlap that varies from 7 percent at the Equator to nearly 84 percent at 81 degrees north or south latitude. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The Landsat program is jointly managed by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data. The cost of retrieving data from these satellites is now prohibitive and they are now obsolete; in 1993 Landsat 6 failed to achieve orbit but the launch of Landsat 7 in 1999 provided open source data at less than commercial prices. See Landsat 7 article.\r\n\r\nNote: Gaining access to the Landsat 4/5 TM data will also automatically give you access to the Landsat 7 etm data also 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": [ 33900, 33905, 33902, 33903, 33904, 33906, 33901, 33899, 76030 ], "onlineresource_set": [] }, { "ob_id": 8585, "uuid": "7201151d40683a4420da90c30640d4fa", "title": "Theme 2 Sub Theme 6: Global Phytoplankton Size Class (PSC) 10 Year Monthly Climatology (1997-2007) from Plymouth Marine Laboratory using SeaWiFS satellite", "abstract": "This dataset contains the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) over the globe for the period 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data. A 10 year monthly climatology is available together with accompanying maps. This dataset was produced as part of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-07-24T15:34:02", "updateFrequency": "notPlanned", "dataLineage": "Data prepared by authors and sent to NERC Earth Observations Data Centre (NEODC) for archiving. Data files are checked for CF conventions compliance. Filenames follow the BADC/NEODC filename convention.", "removedDataReason": "", "keywords": "phytoplankton, global, climatology, nceo", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-08-29T13:55:21", "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": 8586, "dataPath": "/neodc/nceo-carbon/data/ST6-ocean_biogeochemistry/Global-PSC-Climatologies/monthly-10yr-climatology/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2693476648, "numberOfFiles": 25, "fileFormat": "NetCDF data files and Associated maps are stored as png files.\r\n\r\nA metadata file is associated with the files in the archive. \r\n\r\n" }, "timePeriod": { "ob_id": 2451, "startTime": "1997-01-01T00:00:00", "endTime": "2007-12-31T00:00:00" }, "resultQuality": { "ob_id": 2260, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 8588, "uuid": "45ccf1d2461342c48a7533068841c662", "short_code": "comp", "title": "Three-population model of phytoplankton absorption deployed on Plymouth Marine Laboratory (PML) computer", "abstract": "This computation involved: Three-population model of phytoplankton absorption deployed on Plymouth Marine Laboratory (PML) computer. A team led by Robert Brewin at the Plymouth Marine Laboratory, UK, has developed a model that calculates the phytoplankton absorption coefficient at various wavelengths based on three-component populations of phytoplankton which can be linked to the three size classes of phytoplankton (picophytoplankton, nanophytoplankton, and microphytoplankton)." }, "procedureCompositeProcess": null, "imageDetails": [ 130 ], "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": 8587, "uuid": "fa51a7a873b090562122b405e9742a3d", "short_code": "proj", "title": "NCEO Theme 2 Sub theme 6: Quantification of ocean biogeochemistry and carbon fluxes", "abstract": "Ocean colour (OC) or visible spectral radiometry deals with light re-emerging from the ocean after scattering and absorption of incident sunlight by particles, phytoplankton (energising photosynthesis), dissolved and detrital organic C compounds (from lysis, respiration and photo-chemical breakdown) and water. Remotelysensed OC data provides an integrated quasi-steady state observation of the whole of the global ocean and all \r\ntypes of ocean environments (seasonally-variable nutrient & light climates): oligotrophic gyres; equatorial ecosystems; mid and high-latitude, seasonally-productive systems; highly-productive upwelling and convergent zones. Primary production (PP) derived from OC data gives an estimate of the total C sequestered by phytoplankton (~35-70 Gt C yr-1\r\n). Hitherto EO-based PP models have used chlorophyll (Chla) as the state variable. New methods invoke Inherent Optical Properties (IOPs; the spectral absorption & \r\nbackscattering of the ocean). Using IOP models and IOP-OC data, we will describe the pelagic ocean C-cycle, with improved PP models, re-cycling rates and respiration, to: \r\n(i) determine phytoplankton function types (PFTs) used in ecosystem models; (ii) provide parameter data for ecosystem models; (iii) partition the pelagic C-pool into particulate, dissolved, organic and inorganic components." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50543, 68281, 68282, 68283, 68284, 68285 ], "vocabularyKeywords": [], "identifier_set": [ 5494, 8540 ], "observationcollection_set": [ { "ob_id": 8584, "uuid": "049ff74d15b0ef759e966b275b8d39bb", "short_code": "coll", "title": "Global 10 Year Monthly Climatology and Monthly Composites of Phytoplankton Size Class from SeaWiFS Analyses as part of the National Centre for Earth Observation (NCEO) Theme 2 Sub-theme 6", "abstract": "This dataset collection contains a 10 year monthly climatology and monthly composites of the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) over the globe for the period Sep 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data. Accompanying maps are also available. \r\n\r\nThis dataset contributes to fulfilling the first objective of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6): Quantify the global oceanic organic C cycle using OC data, partitioned into phytoplankton (pigments, biomass, size structure & PFTs), particulate organic C, coloured dissolved organic matter (CDOM), dissolved and particulate inorganic components.\r\n\r\nUnderstanding the interaction between phytoplankton and the in-water light field is crucial to model ocean primary production and to improve our comprehension of the role of biological processes in the ocean–carbon cycle. The absorption coefficient of phytoplankton is a fundamental quantity in marine primary production models because:\r\n - it alters the transmission of light underwater; \r\n - it modifies the photosynthetic response of phytoplankton to available light; \r\n - it can be used as a direct indicator of phytoplankton abundance and phytoplankton size;\r\n - it can be used as an indicator of environmental variability\r\n\r\nIt is well known that the phytoplankton absorption coefficient is a function of the dominant phytoplankton pigment, chlorophyll-a, and that this relationship is directly linked to changes in both pigment composition and size structure.\r\n" }, { "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": [ 33918, 33924, 33920, 33921, 33922, 42562, 42558, 33919, 54742, 42561 ], "onlineresource_set": [ 7048, 7049, 7050, 7051, 7052, 7053 ] }, { "ob_id": 8589, "uuid": "a91ae89c4c6d011f84cdfbc3d41a73c8", "title": "Theme 2 Sub Theme 6: Global Phytoplankton Size Class (PSC) Monthly (Composites) Climatology (1997-2007) from Plymouth Marine Laboratory using SeaWiFS satellite", "abstract": "This dataset contains the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) in monthly averages over the globe for the period 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data (The dataset was produced by the Plymouth Marine Laboratory by applying the algorithm of Brewin et al. (2010) directly to monthly SeaWiFS Level 3 composites of chlorophyll on a pixel-by-pixel basis.). A 10 year monthly climatology is also available as a separate dataset. Accompanying maps are available. This dataset was produced as part of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6).\r\n", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2012-07-24T15:36:09", "updateFrequency": "notPlanned", "dataLineage": "Data prepared by authors and sent to NERC Earth Observations Data Centre (NEODC) for archiving. Data files are checked for CF conventions compliance. Filenames follow the BADC/NEODC filename convention.", "removedDataReason": "", "keywords": "phytoplankton, global, climatology, nceo", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2012-08-29T14:08:29", "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": 8590, "dataPath": "/neodc/nceo-carbon/data/ST6-ocean_biogeochemistry/Global-PSC-Climatologies/monthly-composites/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 27845290569, "numberOfFiles": 249, "fileFormat": "Data are netCDF formatted. Images are PNG formatted." }, "timePeriod": { "ob_id": 3576, "startTime": "1997-01-01T00:00:00", "endTime": "1997-12-31T00:00:00" }, "resultQuality": { "ob_id": 2261, "explanation": "", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-05-20" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": { "ob_id": 13694, "uuid": "edd20cdb331947628e61807fd20fb3c6", "short_code": "comp", "title": "Global Phytoplankton Size Class (PSC) Monthly (Composites) Climatology from Plymouth Marine Laboratory using SeaWiFS satellite", "abstract": "A three-component model was developed which calculates the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) to the overall chlorophyll-a concentration in the Atlantic Ocean. The model is an extension of the Sathyendranath et al. (2001) approach, based on the assumption that small cells dominate at low chlorophyll-a concentrations and large cells at high chlorophyll-a concentrations. Diagnostic pigments were used to infer cell size using an established technique adapted to account for small picoeukaroytes in ultra-oligotrophic environments. Atlantic Meridional Transect (AMT) pigment data taken between 1997 and 2004 were split into two datasets; 1935 measurements were used to parameterise the model, and a further 241 surface measurements, spatially and temporally matched to chlorophyll-a derived from SeaWiFS satellite data, were set aside to validate the model. Comparison with an independent global pigment dataset (256 measurements) also supports the broader-scale application of the model. The effect of optical depth on the model parameters was also investigated and explicitly incorporated into the model. It is envisaged that future applications would include validating multi-plankton biogeochemical models and improving primary-production estimates by accounting for community composition." }, "procedureCompositeProcess": null, "imageDetails": [ 130 ], "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": 8587, "uuid": "fa51a7a873b090562122b405e9742a3d", "short_code": "proj", "title": "NCEO Theme 2 Sub theme 6: Quantification of ocean biogeochemistry and carbon fluxes", "abstract": "Ocean colour (OC) or visible spectral radiometry deals with light re-emerging from the ocean after scattering and absorption of incident sunlight by particles, phytoplankton (energising photosynthesis), dissolved and detrital organic C compounds (from lysis, respiration and photo-chemical breakdown) and water. Remotelysensed OC data provides an integrated quasi-steady state observation of the whole of the global ocean and all \r\ntypes of ocean environments (seasonally-variable nutrient & light climates): oligotrophic gyres; equatorial ecosystems; mid and high-latitude, seasonally-productive systems; highly-productive upwelling and convergent zones. Primary production (PP) derived from OC data gives an estimate of the total C sequestered by phytoplankton (~35-70 Gt C yr-1\r\n). Hitherto EO-based PP models have used chlorophyll (Chla) as the state variable. New methods invoke Inherent Optical Properties (IOPs; the spectral absorption & \r\nbackscattering of the ocean). Using IOP models and IOP-OC data, we will describe the pelagic ocean C-cycle, with improved PP models, re-cycling rates and respiration, to: \r\n(i) determine phytoplankton function types (PFTs) used in ecosystem models; (ii) provide parameter data for ecosystem models; (iii) partition the pelagic C-pool into particulate, dissolved, organic and inorganic components." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 50543, 68281, 68282, 68283, 68284, 68285 ], "vocabularyKeywords": [], "identifier_set": [ 5498, 8541 ], "observationcollection_set": [ { "ob_id": 8584, "uuid": "049ff74d15b0ef759e966b275b8d39bb", "short_code": "coll", "title": "Global 10 Year Monthly Climatology and Monthly Composites of Phytoplankton Size Class from SeaWiFS Analyses as part of the National Centre for Earth Observation (NCEO) Theme 2 Sub-theme 6", "abstract": "This dataset collection contains a 10 year monthly climatology and monthly composites of the fractional contributions of three phytoplankton size classes (micro-, nano- and picoplankton) over the globe for the period Sep 1997-2007, as produced by the Plymouth Marine Laboratory (PML) using SeaWIFs data. Accompanying maps are also available. \r\n\r\nThis dataset contributes to fulfilling the first objective of the National Centre for Earth Observation (NCEO) Theme 2 programme (Monitoring, Diagnosis and Prediction of the Global Carbon-Cycle), Quantification of ocean biogeochemistry and carbon fluxes sub-theme 6 (ST6): Quantify the global oceanic organic C cycle using OC data, partitioned into phytoplankton (pigments, biomass, size structure & PFTs), particulate organic C, coloured dissolved organic matter (CDOM), dissolved and particulate inorganic components.\r\n\r\nUnderstanding the interaction between phytoplankton and the in-water light field is crucial to model ocean primary production and to improve our comprehension of the role of biological processes in the ocean–carbon cycle. The absorption coefficient of phytoplankton is a fundamental quantity in marine primary production models because:\r\n - it alters the transmission of light underwater; \r\n - it modifies the photosynthetic response of phytoplankton to available light; \r\n - it can be used as a direct indicator of phytoplankton abundance and phytoplankton size;\r\n - it can be used as an indicator of environmental variability\r\n\r\nIt is well known that the phytoplankton absorption coefficient is a function of the dominant phytoplankton pigment, chlorophyll-a, and that this relationship is directly linked to changes in both pigment composition and size structure.\r\n" }, { "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": [ 33934, 33940, 33936, 33937, 33938, 43226, 43230, 33935, 54743, 43229 ], "onlineresource_set": [ 7059, 7060, 7061, 7062, 7063 ] }, { "ob_id": 8592, "uuid": "2d14cb23b3318b12c0aea374998e4a4d", "title": "Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.02-1.10", "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules.\r\n\r\nThe dataset was produced by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2011-06-28T11:40:06", "updateFrequency": "asNeeded", "dataLineage": "03-JUN-2010: Version 1.02-1.10 data provided to NEODC in netCDF format by Anu Dudhia(Oxford) as an output from the NERC National Centre for Earth Observation \r\n\r\n28-JUN-2011: Minor changes were made by Victoria Bennett (NEODC) to netCDF variable attributes (long names) as long names did not match correct variables in original files\r\n\r\n04-AUG-2011: Version 1.2 Data added to archive. Data submitted by Anu Dudhia, University of Oxford\r\n\r\n19-JUL-2012: MIPAS-Oxford archive separated out from the main MIPAS archive for catalogue records consistency.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2010-06-02T12:54:22", "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": 8593, "dataPath": "/neodc/mipas-oxford/data/v1.02-v1.10/", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5330898791, "numberOfFiles": 2031, "fileFormat": "Data are netCDF formatted" }, "timePeriod": null, "resultQuality": { "ob_id": 2262, "explanation": "Operational data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8598, "uuid": "92d03d203d214a6a830f64bfecad4606", "short_code": "cmppr", "title": "Composite Process for: Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.02-1.10", "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.02-1.10; \n2. Computation: MORSE MIPAS retrieval processor deployed on Oxford Computer; \n" }, "imageDetails": [ 130 ], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2575, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "mipas_oxford", "label": "restricted: mipas_oxford group", "licence": { "ob_id": 42, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/mipas_oxford.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [ { "ob_id": 8594, "uuid": "65f9f71976e55e5f5e9ecc0963baf40a", "short_code": "proj", "title": "NCEO Theme 3: Atmosphere", "abstract": "This Theme in the National Centre for Earth Observation aims, by developing an integrated approach to the analysis of satellite measurements, to provide new information on atmospheric composition and aerosols for air-pollution forecasting and testing climate models.\r\n\r\nIts priorities are to: \r\n- Generate data on trace gases and small particles, both natural and man-made, also known as aerosols, in the troposphere (0-11km) and the lower stratosphere (around the altitude commercial jets fly)\r\n- Improve understanding of where these gases and particles come from and how they move in the atmosphere\r\n- Test the UK's chemistry-climate model\r\n- Work with governments across Europe to help monitor pollution and forecast air quality" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 62128, 62129, 62130, 62131, 62132, 62133, 62134, 62135, 62136, 62137, 62138, 62139, 62140, 62141, 62142, 62143, 62144, 62145, 62146, 62147, 62148, 62149, 62150, 62151, 62152, 62153, 62154, 62155, 62156, 62161, 62162, 62165, 62166, 62167, 62168, 62177, 62178, 62645 ], "vocabularyKeywords": [], "identifier_set": [ 5501 ], "observationcollection_set": [ { "ob_id": 8591, "uuid": "48bb74ee7cf579712c04be88f3bd5e67", "short_code": "coll", "title": "NCEO atmospheric profiles retrieved from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument onboard ESA's Envisat satellite", "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules. The L1B spectra are made available by ESA approximately 2 weeks after acquisition and L2 processing takes another week or so depending on the number of orbits and observation mode.\r\n\r\nThe dataset was produced by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO).\r\n\r\nIn the first processing version (v1.00-1.10) the following L2 products are generated: pT, H2O, O3, HNO3, CH4, N2O, NO2 (ie the ESA products), plus CFC-11, CFC-12, ClONO2, N2O5 and CO. However for the Middle Atmosphere (MA) and Upper Atmosphere (UA) mode data, only the ESA products plus CO are produced." }, { "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": [ 33950, 33955, 33956, 33949, 33952, 33953, 33954, 33951 ], "onlineresource_set": [] }, { "ob_id": 8599, "uuid": "0ce969a5aef0fb1a7b00d7136706b76c", "title": "Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.40", "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules. The data was produced using v1.40 of the algorithm by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO).", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2017-08-18T16:45:32", "updateFrequency": "asNeeded", "dataLineage": "03-JUN-2010: Version 1.02-1.10 data provided to NEODC in netCDF format by Anu Dudhia(Oxford) as an output from the NERC National Centre for Earth Observation \r\n\r\n28-JUN-2011: Minor changes were made by Victoria Bennett (NEODC) to netCDF variable attributes (long names) as long names did not match correct variables in original files\r\n\r\n04-AUG-2011: Version 1.2 Data added to archive. Data submitted by Anu Dudhia, University of Oxford\r\n\r\n19-JUL-2012: MIPAS-Oxford archive separated out from the main MIPAS archive for catalogue records consistency.", "removedDataReason": "", "keywords": "MIPAS, Envisat, Atmosphere", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2011-08-04T10:22:33", "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": 25432, "dataPath": "/neodc/mipas-oxford/data/v1.40", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 12245240005, "numberOfFiles": 2598, "fileFormat": "CF compliant NetCDF" }, "timePeriod": null, "resultQuality": { "ob_id": 2263, "explanation": "Operational data.", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2014-01-29" }, "validTimePeriod": null, "procedureAcquisition": null, "procedureComputation": null, "procedureCompositeProcess": { "ob_id": 8603, "uuid": "1aa1db4a63ee4ad2a04e59a075d3e0a4", "short_code": "cmppr", "title": "Composite Process for: Atmospheric Retrievals from MIPAS/Envisat at Oxford v1.2", "abstract": "This process is comprised of multiple procedures: 1. Computation: Envisat - MIPAS (Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) Instrument deployed on Oxford Computer; \n2. Computation: MORSE MIPAS retrieval processor deployed on Envisat; \n" }, "imageDetails": [], "discoveryKeywords": [ { "ob_id": 1138, "name": "NDGO0003" } ], "permissions": [ { "ob_id": 2575, "accessConstraints": null, "accessCategory": "restricted", "accessRoles": "mipas_oxford", "label": "restricted: mipas_oxford group", "licence": { "ob_id": 42, "licenceURL": "https://artefacts.ceda.ac.uk/licences/specific_licences/mipas_oxford.pdf", "licenceClassifications": [ { "ob_id": 2, "classification": "unstated" } ] } } ], "projects": [], "inspireTheme": [], "topicCategory": [], "phenomena": [ 62128, 62129, 62130, 62131, 62132, 62133, 62134, 62135, 62136, 62137, 62138, 62139, 62140, 62141, 62142, 62143, 62144, 62145, 62146, 62147, 62148, 62149, 62150, 62151, 62152, 62153, 62154, 62155, 62156, 62157, 62158, 62159, 62160, 62161, 62162, 62163, 62164, 62165, 62166, 62167, 62168, 62169, 62170, 62171, 62172, 62173, 62174, 62175, 62176, 62177, 62178, 62179, 62180, 62181, 62182, 62645 ], "vocabularyKeywords": [], "identifier_set": [ 5506 ], "observationcollection_set": [ { "ob_id": 8591, "uuid": "48bb74ee7cf579712c04be88f3bd5e67", "short_code": "coll", "title": "NCEO atmospheric profiles retrieved from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument onboard ESA's Envisat satellite", "abstract": "This dataset contains atmospheric profiles from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) on Envisat, processed with the Oxford L2 retrieval algorithm MORSE. This differs from the European Space Agency L2 products in that it uses an optimal estimation approach rather than a regularised least squares fit, and has additional molecules. The L1B spectra are made available by ESA approximately 2 weeks after acquisition and L2 processing takes another week or so depending on the number of orbits and observation mode.\r\n\r\nThe dataset was produced by Anu Dudhia, University of Oxford and National Centre for Earth Observation (NCEO).\r\n\r\nIn the first processing version (v1.00-1.10) the following L2 products are generated: pT, H2O, O3, HNO3, CH4, N2O, NO2 (ie the ESA products), plus CFC-11, CFC-12, ClONO2, N2O5 and CO. However for the Middle Atmosphere (MA) and Upper Atmosphere (UA) mode data, only the ESA products plus CO are produced." }, { "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": [ 33962, 33967, 33968, 33961, 33964, 33965, 33966, 33963 ], "onlineresource_set": [] }, { "ob_id": 8605, "uuid": "cc6667594524567e5983e60ae1dd901d", "title": "Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB05/16 over the Birmingham Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T01:04:39", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-06T09:09:17", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8606, "dataPath": "/neodc/arsf/2005/GB05_16", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 3066318894, "numberOfFiles": 83, "fileFormat": null }, "timePeriod": { "ob_id": 2453, "startTime": "2005-07-28T23:00:00", "endTime": "2005-07-28T23:00:00" }, "resultQuality": { "ob_id": 2264, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8609, "uuid": "ebbbe44b4a684749b5d6967a9539e0f7", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera on-board the Dornier Do228-101 D-CALM Aircraft during Flight GB05/16 over the Birmingham Area", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; 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": 8607, "uuid": "f001792bb1dcbb3c36730f0550bc4743", "short_code": "proj", "title": "ARSF - Flight GB05/16: Birmingham area", "abstract": "ARSF project GB05/16. 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The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. 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High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34215, 34220, 34214, 34218, 34219, 34221, 34217, 34216 ], "onlineresource_set": [] }, { "ob_id": 8715, "uuid": "c50581c9bd1dd2be9a40bd03541b817a", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/18 over the Auchencarroch, Tarbolton Ayrshire and Greengairs Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. 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The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. 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PI: P. Levy, Site: Alice Holt, Griffin Forest. Project: Airborne remote sensing of forest CO2 fluxes" } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64846, 64847, 65006, 65007 ], "vocabularyKeywords": [], "identifier_set": [ 5604 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34233, 34238, 34235, 34236, 34237, 34232, 34239, 34234 ], "onlineresource_set": [] }, { "ob_id": 8723, "uuid": "c1d0b97b263e7d902182eda7acaefe96", "title": "Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 99/08 over the Grimsby, Immingham and Hessle Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-09-28T11:14:39", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 99/08, Grimsby, Immingham, Hessle", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-23T02:10:46", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 204, "bboxName": "", "eastBoundLongitude": -0.17, "westBoundLongitude": -0.46, "southBoundLatitude": 53.6, "northBoundLatitude": 53.72 }, "verticalExtent": null, "result_field": { "ob_id": 8724, "dataPath": "/neodc/arsf/1999/99_08", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1585964640, "numberOfFiles": 72, "fileFormat": null }, "timePeriod": { "ob_id": 2481, "startTime": "1999-04-08T23:00:00", "endTime": "1999-04-08T23:00:00" }, "resultQuality": { "ob_id": 2292, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8726, "uuid": "920ab77c4af248db96ab35ae8e45d8da", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera, CASI and ATM AZ-16 Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 99/08 over the Grimsby, Immingham and Hessle Areas", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera, ARSF Compact Airbone Spectrographic Imager 1 (CASI-1), ARSF Airborne Thematic Mapper (ATM) Azimuth systems 16 (AZ-16); PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8725, "uuid": "19a82f987178bddc0b9cf488ae4ce2e1", "short_code": "proj", "title": "ARSF - Flight 99/08: Grimsby, Immingham and Hessle areas", "abstract": "ARSF project 99/08. PI: G. Ferrier. Site: Grimsby, Immingham, Hessle. Project: Application of airborne remote sensing data in the monitoring of leachate leakage from landfill sites." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64846, 64847, 65006, 65007 ], "vocabularyKeywords": [], "identifier_set": [ 5607 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. 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The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34242, 34247, 34241, 34244, 34245, 34246, 34248, 34243 ], "onlineresource_set": [] }, { "ob_id": 8727, "uuid": "020ab269a0a3d9f25f26b56fa39d20af", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/06 over the Conington Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-03-20T02:49:07", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 98/06, Conington", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-23T23:44:43", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 205, "bboxName": "", "eastBoundLongitude": -0.25, "westBoundLongitude": -0.25, "southBoundLatitude": 52.47, "northBoundLatitude": 52.47 }, "verticalExtent": null, "result_field": { "ob_id": 8728, "dataPath": "/neodc/arsf/1998/98_06", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 5888904870, "numberOfFiles": 148, "fileFormat": null }, "timePeriod": { "ob_id": 2482, "startTime": "1998-10-14T23:00:00", "endTime": "1998-10-14T23:00:00" }, "resultQuality": { "ob_id": 2293, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8730, "uuid": "f44aa2b292c0457f8019a3908c372abc", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/06 over the Conington Area", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8729, "uuid": "7fdb0c2c82dbd8cad89c5a4517dc8ffc", "short_code": "proj", "title": "ARSF - Flight 98/06: Conington area", "abstract": "ARSF project 98/06. 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Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34251, 34256, 34250, 34253, 34254, 34255, 34257, 34252 ], "onlineresource_set": [] }, { "ob_id": 8731, "uuid": "7214f561a99be0b8197eaec944548c1b", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/xx over the North West Norfolk Area", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-04-30T22:22:12", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 98/xx, North West Norfolk", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-24T06:41:35", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8732, "dataPath": "/neodc/arsf/1998/98_xx", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 1371432491, "numberOfFiles": 36, "fileFormat": null }, "timePeriod": { "ob_id": 2483, "startTime": "1998-04-30T23:00:00", "endTime": "1998-04-30T23:00:00" }, "resultQuality": { "ob_id": 2294, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8734, "uuid": "c69b36f00b6c46aaaf8af5b935c781e1", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 98/xx over the North West Norfolk Area", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8733, "uuid": "613af5b9298911ea263f1849cdd7a0ee", "short_code": "proj", "title": "ARSF - Flight 98/xx: North West Norfolk area", "abstract": "ARSF project 98/xx. Site: North West Norfolk." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5613 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34260, 34265, 34259, 34263, 34264, 34266, 34262, 34261 ], "onlineresource_set": [] }, { "ob_id": 8735, "uuid": "ca862f3d9c8b3b860d9001c6004dcf3a", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/09 over the Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke and Moor House Areas", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2020-01-13T11:07:45", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 94/09, Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke, Moor House", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-24T07:11:27", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": { "ob_id": 206, "bboxName": "", "eastBoundLongitude": -0.37, "westBoundLongitude": -4.05, "southBoundLatitude": 50.77, "northBoundLatitude": 57.07 }, "verticalExtent": null, "result_field": { "ob_id": 8736, "dataPath": "/neodc/arsf/1994/94_09", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 28238658369, "numberOfFiles": 702, "fileFormat": null }, "timePeriod": { "ob_id": 2484, "startTime": "1994-06-12T23:00:00", "endTime": "1997-06-02T23:00:00" }, "resultQuality": { "ob_id": 2295, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8738, "uuid": "d67b25a67ffc423186aed8946d860802", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/09 over the Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke and Moor House Areas", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8737, "uuid": "188cb5967340a6d5bdbc650e8f22e61c", "short_code": "proj", "title": "ARSF - Flight 94/09: Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke and Moor House areas", "abstract": "ARSF project 94/09: Evaluating land use change at sites in the UK Environmental Change Network. PI: J.Sykes. Sites: Glensaugh, Sourhope (North), Sourhope (South), Drayton, Wytham, Rothamsted, Cairngorms, Snowdonia, Porton, Alice Holt, North Wyke, Moor House." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5616 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. 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The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34269, 34274, 34268, 34271, 34272, 34273, 34275, 34270 ], "onlineresource_set": [] }, { "ob_id": 8739, "uuid": "f3dab64ad28db24c3917c75e2b51c1de", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/35 over the Ecomont Alps Area, Italy and Austria", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T01:54:45", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 95/35, Ecomont Alps, Italy, Austria", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-24T22:28:58", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8740, "dataPath": "/neodc/arsf/1997/95_35", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 18231460051, "numberOfFiles": 454, "fileFormat": null }, "timePeriod": { "ob_id": 2485, "startTime": "1997-08-21T23:00:00", "endTime": "1997-08-22T23:00:00" }, "resultQuality": { "ob_id": 2296, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8742, "uuid": "652af580aff9443bad648b5e40d777e2", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/35 over the Ecomont Alps Area, Italy and Austria", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8741, "uuid": "fb9fc433206f5dfcf8191e3c44fd4154", "short_code": "proj", "title": "ARSF - Flight 95/35: Alps Italy and Austria, Ecomont area", "abstract": "ARSF project 95/35: Investigation of montane vegetation using ARS. 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Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34278, 34283, 34277, 34280, 34281, 34282, 34284, 34279 ], "onlineresource_set": [] }, { "ob_id": 8743, "uuid": "8d6af680f69e0bd5a0beddd2bfd2e67a", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/21 over the Tweed Estuary and Humber Estuary, in support of the Land-Ocean Interaction Study (LOIS) and the Rivers, Atmosphere and Coasts Study (RACS)", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. 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The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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. 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The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2006-10-02T10:05:36", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 97/test, Storebaelt Bridge, Denmark", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-25T06:08:18", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8748, "dataPath": "/neodc/arsf/1997/97_test", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 161355881, "numberOfFiles": 6, "fileFormat": null }, "timePeriod": { "ob_id": 2487, "startTime": "1997-06-30T23:00:00", "endTime": "1997-06-30T23:00:00" }, "resultQuality": { "ob_id": 2298, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8750, "uuid": "b39e24a409414fc09b90d7f27c9e3c80", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 97/test over the Storebaelt Bridge Area, Denmark", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8749, "uuid": "a9d588cbdc4373eb0ecb2b6ff4682013", "short_code": "proj", "title": "ARSF - Flight 97/test: Denmark, Storebaelt Bridge area", "abstract": "ARSF 97/test project. Site: Storebaelt Bridge, Denmark." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [], "vocabularyKeywords": [], "identifier_set": [ 5625 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34296, 34301, 34295, 34299, 34300, 34302, 34298, 34297 ], "onlineresource_set": [] }, { "ob_id": 8751, "uuid": "7ecbba9e712ccb481882a5a96157d0f8", "title": "Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/16 over the Rodalquilar Area, Spain", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2019-12-06T01:58:42", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 95/16, Rodalquilar, Spain", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-25T23:29:05", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8752, "dataPath": "/neodc/arsf/1996/95_16", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 2920754894, "numberOfFiles": 87, "fileFormat": null }, "timePeriod": { "ob_id": 2488, "startTime": "1996-04-10T23:00:00", "endTime": "1996-04-10T23:00:00" }, "resultQuality": { "ob_id": 2299, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8755, "uuid": "fda5653dad4e4ef7a49c77441021475b", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/16 over the Rodalquilar Area, Spain", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera, ARSF Airborne Thematic Mapper (ATM) Daedalus-1268; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8753, "uuid": "c183c5c5eac942288bc7bf658f10dd55", "short_code": "proj", "title": "ARSF - Flight 95/16: Spain, Rodalquilar area", "abstract": "ARSF project 95/16: Stability of mine tailings, Rodalquilar, Spain. 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The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34305, 34310, 34304, 34307, 34308, 34309, 34311, 34306 ], "onlineresource_set": [] }, { "ob_id": 8756, "uuid": "cdb23848564622844a7e8652b4a9091d", "title": "Data from the Photographic Camera on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/20 over the Tweed Estuary", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. 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High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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. 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The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.", "creationDate": "2022-07-22T09:15:57.183554", "lastUpdatedDate": "2022-07-22T09:15:57.272326", "latestDataUpdateTime": "2015-11-10T09:35:51", "updateFrequency": "notPlanned", "dataLineage": "Data have been provided to NEODC via a number of routes: \r\nMost data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media.\r\nData since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync.\r\nData for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. \r\nData from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge.\r\nScanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. \r\nSome data (\"user_provided\") was sent to NEODC by ARSF data users.", "removedDataReason": "", "keywords": "ARSF, 95/xx, Conington", "publicationState": "published", "nonGeographicFlag": false, "dontHarvestFromProjects": false, "language": "English", "resolution": "", "status": "completed", "dataPublishedTime": "2007-09-26T23:29:24", "doiPublishedTime": null, "removedDataTime": null, "geographicExtent": null, "verticalExtent": null, "result_field": { "ob_id": 8833, "dataPath": "/neodc/arsf/1995/95_xx", "oldDataPath": [], "storageLocation": "internal", "storageStatus": "online", "volume": 824317013, "numberOfFiles": 41, "fileFormat": null }, "timePeriod": { "ob_id": 2508, "startTime": "1995-11-20T00:00:00", "endTime": "1995-11-20T00:00:00" }, "resultQuality": { "ob_id": 2319, "explanation": "unknown", "passesTest": true, "resultTitle": "CEDA Data Quality Statement", "date": "2013-12-10" }, "validTimePeriod": null, "procedureAcquisition": { "ob_id": 8835, "uuid": "7e54babcbf3c4e42b1e30e9c8d49acd6", "short_code": "acq", "title": "Acquisition Process for: Data from the Photographic Camera, CASI and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 95/xx over the Conington Area", "abstract": "This acquisition is comprised of the following: INSTRUMENTS: ARSF WILD-RC10 Analogue Photographic camera; PLATFORMS: Piper PA31 Navajo Chieftain G-NERC 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": 8834, "uuid": "a9808c8c3b0b23b2d5e3379c804d9223", "short_code": "proj", "title": "ARSF - Flight 95/xx: Conington area", "abstract": "ARSF project 95/xx. Site: Conington." } ], "inspireTheme": [], "topicCategory": [], "phenomena": [ 64846, 64847, 65006 ], "vocabularyKeywords": [], "identifier_set": [ 5690 ], "observationcollection_set": [ { "ob_id": 8604, "uuid": "55d1c9b6e7a4ce41b7a6f8416b7b6261", "short_code": "coll", "title": "NERC Airborne Research and Survey Facility (ARSF) Remote Sensing Data", "abstract": "The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in the form of synoptic analogue and digital imagery for use in research, survey and monitoring programmes. Data offered by the facility includes: \r\n\r\n1) Aerial photography data collected with an analogue camera, the Wild RC-10 visible NIR, in conjunction with CASI and ATM instruments.\r\n\r\n2) Airborne Thematic Mapper (ATM): ARSF has flown two ATM instruments over the period 1982 - 2008: the Daedalus 1268 was operated from 1982 until 1998. Since 1996 and until 2008 an upgraded version - the Azimuth Systems AZ-16 was used, along with an improved data acquisition system.\r\n\r\n3) LiDAR (Light Detection and Ranging) data from an Optech ALTM 3033 instrument. The sensor is on loan to the ARSF only for some periods of the year from the Unit of Landscape Modelling (ULM) at Cambridge University.\r\n\r\n4) High spectral and spatial resolution data from the Compact Airborne Spectrographic Imager (CASI 2). The CASI 2, produced by Itres Research of Canada, is a two-dimensional CCD array-based pushbroom imaging spectrograph operated by ARSF until 2007\r\n\r\n5) High spectral and spatial resolution data from the AISA Eagle and Hawk hyperspectral sensors (since 2007). The AISA Eagle is a 12 bit, pushbroom, hyperspectral sensor with a 1000 pixel swath width, covering the visible and near infra-red spectrum 400 - 970nm. The AISA Hawk is a 14 bit sensor able to capture short wave infrared wavelengths, 970 - 2450nm.\r\n\r\nThe ARSF currently uses a Dornier 228 aircraft. This extensively modified aircraft is not only capable of accommodating the current ARSF core instrumentation, as well as additional experimental optical and geophysical sensors, but is also configured to deploy a range of atmospheric instrumentation and samplers. Such a comprehensive data service cannot be easily achieved by other survey techniques. The operational flying season generally spans from early March until early October. Three elements determine this period: weather, solar zenith angle and vegetation state; maintenance on the aircraft; sensor maintenance as this is performed by the manufacturers between November and January. Every day during this season, the ARSF has to make difficult decisions on whether or not to attempt flying based on weather forecasts, and to prioritise the most important projects based on many parameters. Flying schedule is available from the ARSF website. \r\n\r\nThe NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor." }, { "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": [ 34488, 34487, 34492, 34489, 34490, 34491, 34493, 34486 ], "onlineresource_set": [] } ] }