Observation Instance

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{
    "ob_id": 40322,
    "uuid": "005f2e0aebc24ed98a9772a0ba3798e2",
    "title": "ForestScan Project: Multiple Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS) data acquisitions of FBRMS-01: Paracou, French Guiana, plots 4, 5, 6, 8, IRD-CNES and Flux-Tower area, October 2019",
    "abstract": "This dataset contains complete merged point clouds (.laz) per acquisition flight, derived raster products in .tif georeferenced format, Digital surface models (.DSM),  Canopy height models (.CHM) and Digital terrain models (.DTM). The data is from multiple drone flights over different plots in Paracou French Guiana. All products are the following projection EPSG:2972 RGFG95 and UTM  (Universal Transverse Mercator) zone 22N. Different scanning scenarios should allow for sensitivity analyses with respect to:\r\n\r\n(i) scanning altitude (above the LiDAR (Light Detection and Ranging) derived DTM, either in terrain follow mode (AGL) or at constant altitude (AMSL)\r\n(ii) scanning pattern main orientation\r\n\r\nOver Plot 6 (P6): two different scan altitudes are available (80m AGL and 145m AMSL ~ 125 AGL), as well as different flight pattern main directions (75°, 345°, 120°, 165°)\r\n\r\nOver Plots 4 and 5 (P4 & P5): altitude = 110m AMSL ~ 90m AGL, flight directions = 345°\r\n\r\nOver PCNES & Tower: altitude = 105m AMSL ~ 80m AGL and 80m AGL, flight directions = 0° and 90° \r\n\r\nOver P8: altitude = 105m AMSL ~ 80m AGL, flight directions = 75° and 345° \r\n\r\nInformation on the individual drone flights and directory location can be found below in the following format: \r\n\r\nCountry\\Zone\\Pilot\\Scanner\\Date\\Flight\\Flight (delivery)\\Freq mirror rot (Hz)\\Interline(m)\\Direction (°)\\Speed(m/s)\\Alt(m)   \r\ndirectory location- XX/XX\r\n\r\n\r\nFrench Guiana\\Paracou \\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-124006\\V1\\20\\20\\345\\5t80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\tYS-20191018-131043\\V2\\20\\20\\345\\5\\80 AGL  \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V2\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-183057\\V3\\20\\20\\120\\t5\\80 AGL \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V3\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-185416\\V4\\20\\20\\120\\5\\80 AGL  \r\ndirectory location - CIRAD_Plot_P6_80mAGL/V4\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-190345\\V5\\20\\20\\75\\5\\80 AGL  \r\ndirectory location - CIRAD_Plot_P6_80mAGL/ V5\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\18/10/2019\\YS-20191018-200932\\V1\\20\\20\\165\\5\\145 amsl  \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V1\r\n\r\nFrench Guiana\\Paracou\\P6\\NB\\VX20021\\19/10/2019\\YS-20191019-115917\\V2\\20\\20\\75\\5\\145 amsl  \r\ndirectory location - CIRAD_Plot_P6_145_amsl/V2\r\n\r\nFrench Guiana\\Paracou\\P4&5\\NB\\VX20021\\19/10/2019\\YS-20191019-172347\\20\\50\\345\\5\\100 amsl  \r\ndirectory location - CIRAD_Plot_4_5/\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-162557\\V1\\20\\50\\0\\5\\80 AGL  \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V1\r\n\r\nFrench Guiana\\Paracou\\Tower\\NB\\VX20021\\19/10/2019\\YS-20191019-181021\\V2\\20\\50\\90\\5\\105 amsl  \r\ndirectory location - IRD_CNES_Plot1_and_Flux_Tower_area/V2\r\n\r\nFrench Guiana\\Paracou\\P8\\NB\\VX20021\\20/10/2019\\YS-20191020-113907\\20\\50\\75&345\\5\\105 amsl  \r\ndirectory location - CIRAD_Plot_P8\r\n\r\nThe data was gathered to support the systematic collection and understanding of reference data for biomass product validation. The CEOS Good Practices Guideline can be found in the documentation section.",
    "keywords": "ForestScan project, GEO-TREES, BIOMASS mission, European Space Agency (ESA), Earth Observation (EO) calibration/validation, Unpiloted Aerial Vehicle LiDAR Scanning (UAV-LS), Aerial LiDAR Scanning (ALS), Digital twins, Forest structureracou, Forest",
    "publicationState": "citable",
    "dataPublishedTime": "2025-02-24T10:41:35",
    "doiPublishedTime": "2025-03-28T16:52:47.233213",
    "updateFrequency": "",
    "status": "completed",
    "result_field": {
        "ob_id": "https://api.catalogue.ceda.ac.uk/api/v2/observations/40628/?format=api",
        "dataPath": "/neodc/forestscan/data/french_guiana/paracou/UAV_Paracou_2023_MultiplePlots/AMAP_Paracou_drone/",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 3964810390,
        "numberOfFiles": 165,
        "fileFormat": "Complete merged point clouds (.laz) per acquisition flight and derived raster products in .tif georeferenced format (Digital surface model - DSM; Canopy height model - CHM; Digital terrain model - DTM)"
    },
    "timePeriod": "https://api.catalogue.ceda.ac.uk/api/v2/times/11275/?format=api",
    "geographicExtent": "https://api.catalogue.ceda.ac.uk/api/v2/bboxes/3953/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Revised metadata was provided by the UCL project team",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [
        "https://api.catalogue.ceda.ac.uk/api/v2/identifiers/13275/?format=api"
    ],
    "projects": [
        "https://api.catalogue.ceda.ac.uk/api/v2/projects/40337/?format=api"
    ],
    "observationcollection_set": [
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    "responsiblepartyinfo_set": [
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    "procedureAcquisition": null,
    "procedureCompositeProcess": "https://api.catalogue.ceda.ac.uk/api/v2/composites/40637/?format=api",
    "procedureComputation": null,
    "permissions": [
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            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://creativecommons.org/licenses/by/4.0/",
            "licenceClassifications": "any"
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    "discoveryKeywords": [
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            "name": "NDGO0003"
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}