Observation Instance

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{
    "ob_id": 45958,
    "uuid": "9d86d7af20d9476b95071e7dc2d59ba2",
    "title": "UAV-mounted lidar measurements of peat surface elevation from the Cuvette Centrale peatlands, Congo Basin (February 2019)",
    "abstract": "This dataset contains peat surface elevation measurements acquired between 17–27 February 2019 from Epena and Ekolongouma, two locations in the Cuvette Centrale peatlands region of the central Congo Basin.\r\n\r\nThe data consist of two airborne laser scanning (ALS, or lidar) tracks acquired using a Delair DT26x unmanned aerial vehicle (UAV, or drone) equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per square metre used with a local DGPS (Differential Global Positioning System) ground station. The profiles extend from the peat edge to 2 km and 5 km into the peat region.\r\n\r\nCoordinate system: WGS84, EPSG:4326\r\nFile format: .laz, the industry-standard compressed ALS data format (linked in documentation section)\r\nRelated publication: Davenport, I.J.; McNicol, I.; Mitchard, E.T.A.; Dargie, G.; Suspense, I.; Milongo, B.; Bocko, Y.E.; Hawthorne, D.; Lawson, I.; Baird, A.J.; et al. First Evidence of Peat Domes in the Congo Basin using LiDAR from a Fixed-Wing Drone. Remote Sens. 2020, 12, 2196. https://doi.org/10.3390/rs12142196 (linked in documentation section)\r\n\r\nThis dataset was produced as part of the Natural Environment Research Council (NERC) project CongoPeat: Past, Present and Future of the Peatlands of the Central Congo Basin (grant reference: NE/R016860/1).",
    "keywords": "ALS,LiDAR,UAV,Drone",
    "publicationState": "published",
    "dataPublishedTime": "2026-08-13T14:29:45",
    "doiPublishedTime": null,
    "updateFrequency": "notPlanned",
    "status": "completed",
    "result_field": {
        "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/46148/?format=api",
        "dataPath": "/badc/congopeat/data/congo_peat_elevation_lidar",
        "oldDataPath": [],
        "storageLocation": "internal",
        "storageStatus": "online",
        "volume": 2454603091,
        "numberOfFiles": 4,
        "fileFormat": "LAZ"
    },
    "timePeriod": "https://catalogue.ceda.ac.uk/api/v2/times/13198/?format=api",
    "geographicExtent": "https://catalogue.ceda.ac.uk/api/v2/bboxes/5160/?format=api",
    "nonGeographicFlag": false,
    "phenomena": [],
    "dataLineage": "Acquired using a Delair DT26x unmanned aerial vehicle (UAV, or drone) equipped with a Riegl VUX-1UAV scanner, with a ground point density up to 35 per square metre used with a local DGPS ground station. Delivered by the project team to CEDA for archiving.",
    "removedDataTime": null,
    "removedDataReason": "",
    "language": "English",
    "identifier_set": [],
    "projects": [
        "https://catalogue.ceda.ac.uk/api/v2/projects/46093/?format=api"
    ],
    "observationcollection_set": [],
    "responsiblepartyinfo_set": [
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        "https://catalogue.ceda.ac.uk/api/v2/rpis/219595/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219596/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219597/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219598/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219599/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219593/?format=api",
        "https://catalogue.ceda.ac.uk/api/v2/rpis/219600/?format=api"
    ],
    "procedureAcquisition": "https://catalogue.ceda.ac.uk/api/v2/acquisitions/45959/?format=api",
    "procedureCompositeProcess": null,
    "procedureComputation": null,
    "permissions": [
        {
            "ob_id": "https://catalogue.ceda.ac.uk/api/v2/observations/2526/?format=api",
            "useLimitation": null,
            "accessConstraints": null,
            "accessCategory": "public",
            "accessRoles": null,
            "label": "public: None group",
            "licenceURL": "http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/",
            "licenceClassifications": "any, attribution required"
        }
    ],
    "discoveryKeywords": []
}