{
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    "resourceTypeGeneral": "Dataset",
    "resourceType": "Lidar Data"
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    {
      "identifierType": "DOI",
      "identifier": "https://doi.org/10.5069/G9BV7DT1"
    },
    {
      "identifierType": "URL",
      "identifier": "https://opentopography.org/datasetMetadata?otCollectionID=OT.082025.4326.1"
    }
  ],
  "creators": [
    {
      "nameType": "Organizational",
      "name": "OpenTopography",
      "nameIdentifiers": [
        {
          "nameIdentifier": "https://opentopography.org",
          "nameIdentifierScheme": "URL"
        },
        {
          "nameIdentifier": "info@opentopography.org",
          "nameIdentifierScheme": "EMAIL"
        }
      ]
    }
  ],
  "titles": [
    {
      "title": "Global Ensemble Digital Terrain Model",
      "lang": "en-US"
    }
  ],
  "publisher": "OpenTopography",
  "publicationYear": "2025",
  "contributors": [
    {
      "nameType": "Organizational",
      "name": "Universidade de S\u00E3o Paulo",
      "nameIdentifiers": [
        {
          "nameIdentifier": "https://www5.usp.br/",
          "nameIdentifierScheme": "URL"
        }
      ],
      "contributorType": "ProjectMember"
    },
    {
      "nameType": "Organizational",
      "name": "University of Guelph",
      "nameIdentifiers": [
        {
          "nameIdentifier": "https://www.uoguelph.ca/",
          "nameIdentifierScheme": "URL"
        }
      ],
      "contributorType": "ProjectMember"
    },
    {
      "nameType": "Organizational",
      "name": "Eurostat - European Commission",
      "nameIdentifiers": [
        {
          "nameIdentifier": "https://ec.europa.eu/eurostat",
          "nameIdentifierScheme": "URL"
        }
      ],
      "contributorType": "ProjectMember"
    },
    {
      "nameType": "Organizational",
      "name": "OpenGeoHUB",
      "nameIdentifiers": [
        {
          "nameIdentifier": "https://opengeohub.org/",
          "nameIdentifierScheme": "URL"
        }
      ],
      "contributorType": "ProjectLeader"
    },
    {
      "nameType": "Organizational",
      "name": "OpenTopography",
      "nameIdentifiers": [
        {
          "nameIdentifier": "https://opentopography.org",
          "nameIdentifierScheme": "URL"
        },
        {
          "nameIdentifier": "info@opentopography.org",
          "nameIdentifierScheme": "EMAIL"
        }
      ],
      "contributorType": "Distributor"
    }
  ],
  "dates": [
    {
      "date": "2006-01-01/2015-12-31",
      "dateType": "Collected"
    },
    {
      "date": "2025-08-04",
      "dateType": "Issued"
    }
  ],
  "language": "en-US",
  "formats": [
    "Raster Data"
  ],
  "rightsList": [
    {
      "rightsIdentifier": "CC BY 4.0",
      "rightsUri": "https://creativecommons.org/licenses/by/4.0/",
      "lang": "en-US"
    }
  ],
  "descriptions": [
    {
      "description": "<p>The Global Ensemble Digital Terrain Model (GEDTM30) is a globally consistent, 30m resolution DTM created using a machine learning-based data fusion approach. It combines multiple global elevation datasets including Copernicus DEM, ALOS World 3D, and object height models, and refines them using nearly 30 billion high-quality ground elevation points from ICESat-2 and GEDI. A two-stage random forest model ensures both global coherence and local accuracy, producing a bare-earth terrain model that minimizes the effects of vegetation, buildings, and DEM artifacts.<\/p>\n<p> For more details on this project see the following resources:\n<ul>\n<li><a href='https:\/\/zenodo.org\/records\/18887460' target='_blank'>GEDTM30 Zenodo Repository<\/a><\/li>\n<li><a href='https:\/\/codeberg.org\/openlandmap\/GEDTM30' target='_blank'>GEDTM30 Codeberg Repository<\/a><\/li>\n<li><a href='https:\/\/peerj.com\/articles\/19673\/' target='_blank'>GEDTM30 Publication<\/a><\/li>\n<\/ul><\/p>\n<p><i>Disclaimer: This data product was generated using machine learning methods. Users are advised to exercise caution and independently verify results before using this product for critical applications, engineering design, or decision-making purposes.<\/i><\/p>",
      "descriptionType": "Abstract",
      "lang": "en-US"
    }
  ],
  "geoLocations": [
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      "geoLocationBox": {
        "westBoundLongitude": "-180.00125",
        "eastBoundLongitude": "180.00075",
        "southBoundLatitude": "-62.00875",
        "northBoundLatitude": "83.68525"
      },
      "geoLocationPlace": ""
    }
  ],
  "fundingReferences": [
    {
      "funderName": "National Science Foundation",
      "awardURI": "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948857",
      "awardNumber": "1948857",
      "awardTitle": "Collaborative Research: OpenTopography - A cyberinfrastructure facility for advancing geoscience research and education"
    },
    {
      "funderName": "National Science Foundation",
      "awardURI": "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948994",
      "awardNumber": "1948994",
      "awardTitle": "Collaborative Research: OpenTopography - A cyberinfrastructure facility for advancing geoscience research and education"
    },
    {
      "funderName": "National Science Foundation",
      "awardURI": "https://www.nsf.gov/awardsearch/showAward?AWD_ID=1948997",
      "awardNumber": "1948997",
      "awardTitle": "Collaborative Research: OpenTopography - A cyberinfrastructure facility for advancing geoscience research and education"
    }
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  "schemaVersion": "http://datacite.org/schema/kernel-4"
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