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

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Download and Access Products: 
	1. Raster
		opentopoID: OTSDEM.082025.4326.1
		Data Processing: https://portal.opentopography.org/raster?opentopoID=OTSDEM.082025.4326.1


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Collection Overview: 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.

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

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

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Data Provider and Roles:
	1. Universidade de São Paulo
	Role: Partner
	Url: https://www5.usp.br/

	2. University of Guelph
	Role: Partner
	Url: https://www.uoguelph.ca/

	3. Eurostat - European Commission
	Role: Partner
	Url: https://ec.europa.eu/eurostat

	4. OpenGeoHUB
	Role: Principal Investigator
	Url: https://opengeohub.org/


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Total Number of Points: N/A

Area: 134,468,240 km^2

Point Density: N/A

Coordinates System: 
	Horizontal: WGS84 [EPSG: 4326]
	Vertical: WGS84 Ellipsoid/EGM2008 Geoid [EPSG: 3855]

Survey Report: https://object.cloud.sdsc.edu:443/v1/AUTH_opentopography/www/metadata/GEDTM30_metadata.pdf


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Dataset Boundary in GeoJSON Format: https://raw.githubusercontent.com/OpenTopography/Data_Catalog_Spatial_Boundaries/main/OpenTopography_Raster/GEDTM30.geojson

Dataset Extent (Bounding Box):
	North: 83.68525°
	South: -62.00875°
	East: 180.00075°
	West: -180.00125°