{"@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": "-180.0,-62.01,180.0,83.69", "title": "Global Ensemble Digital Terrain Model"}