Global Ensemble Digital Terrain Model
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DOI: https://doi.org/10.5069/G9BV7DT1
OT Collection ID: OT.082025.4326.1
OT Collection Name: Global Ensemble Digital Terrain Model
Short Name: GEDTM30
Collection Platform: Satellite Data
OT Collection ID: OT.082025.4326.1
OT Collection Name: Global Ensemble Digital Terrain Model
Short Name: GEDTM30
Collection Platform: Satellite Data
Download and Access Products:
| GEDTM30 | Bulk Download | opentopoID: OTSDEM.082025.4326.1 |
Collection Overview:
Dataset Acknowledgement: Ho, Y.-F., Grohmann, C. H., Lindsay, J., Reuter, H. I., Parente, L., Witjes, M., & Hengl, T. (2025). Global ensemble digital terrain modeling and parametrization at 30 m resolution (GEDTM30): a data fusion approach based on ICESat-2, GEDI and multisource data. PeerJ, 13, e19673. https://doi.org/10.7717/peerj.19673
Dataset Citation: Ho, Y.-F., & Hengl, T. (2025). Global ensemble digital terrain model 30m (GEDTM30) (Version v20250619) [Data set]. Distributed by OpenTopography. https://doi.org/10.5069/G9BV7DT1. Accessed 2026-06-12 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: Satellite, DSM, DTM, lidar, Copernicus, ALOS, machine learning, ICESat-2, GEDI
Survey Date: 01/01/2006 - 12/31/2015
Publication Date: 08/04/2025
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:
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.
Dataset Acknowledgement: Ho, Y.-F., Grohmann, C. H., Lindsay, J., Reuter, H. I., Parente, L., Witjes, M., & Hengl, T. (2025). Global ensemble digital terrain modeling and parametrization at 30 m resolution (GEDTM30): a data fusion approach based on ICESat-2, GEDI and multisource data. PeerJ, 13, e19673. https://doi.org/10.7717/peerj.19673
Dataset Citation: Ho, Y.-F., & Hengl, T. (2025). Global ensemble digital terrain model 30m (GEDTM30) (Version v20250619) [Data set]. Distributed by OpenTopography. https://doi.org/10.5069/G9BV7DT1. Accessed 2026-06-12 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: Satellite, DSM, DTM, lidar, Copernicus, ALOS, machine learning, ICESat-2, GEDI
Survey Date: 01/01/2006 - 12/31/2015
Publication Date: 08/04/2025
Data Provider and Roles:
Partners Principal Investigator
Partners Principal Investigator
Area: 134,468,240 km2
Raster Resolution: 30 meter
Coordinate System:
Horizontal: WGS84 [EPSG: 4326]
Vertical: WGS84 Ellipsoid/EGM2008 Geoid [EPSG: 3855]
Units: meter
Survey Report: Reports
Dataset Boundary in GeoJSON Format:
GEDTM30.geojson
Dataset Extent (Bounding Box): North: 83.68525° South: -62.00875° East: 180.00075° West: -180.00125°
Dataset Extent (Bounding Box): North: 83.68525° South: -62.00875° East: 180.00075° West: -180.00125°