{
  "@type": "dcat:Dataset",
  "accessLevel": "public",
  "bureauCode": [
    "000:00"
  ],
  "contactPoint": {
    "@type": "vcard:Contact",
    "fn": "OpenTopography Support",
    "hasEmail": "mailto:info@opentopography.org"
  },
  "description": "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.  For more details on this project see the following resources:  GEDTM30 Zenodo Repository GEDTM30 Codeberg Repository GEDTM30 Publication  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.",
  "distribution": [
    {
      "@type": "dcat:Distribution",
      "accessURL": "https://doi.org/10.5069/G9BV7DT1",
      "mediaType": "text/html",
      "title": "OpenTopography Data Download Page"
    }
  ],
  "identifier": "OT.082025.4326.1",
  "keyword": [
    "ALOS",
    "Copernicus",
    "DSM",
    "DTM",
    "GEDI",
    "ICESat-2",
    "Satellite",
    "lidar",
    "machine learning"
  ],
  "license": "https://creativecommons.org/licenses/by/4.0",
  "modified": "2025-08-04",
  "programCode": [
    "000:000"
  ],
  "publisher": {
    "@type": "org:Organization",
    "name": "OpenTopography"
  },
  "spatial": {
    "@type": "dct:Location",
    "bbox": "POLYGON((-180.00 -62.01, -180.00 83.69, 180.00 83.69, 180.00 -62.01, -180.00 -62.01))"
  },
  "title": "Global Ensemble Digital Terrain Model"
}