GEDTM30: Global 30 meter terrain data: A team of researchers has released #GEDTM30, a global #DigitalTerrainModel with 30-meter (1 arcsecond) resolution, generated through #MachineLearning fusion of various data sources, and accompanied by 15 geomorphometric parameters computed at...
https://spatialists.ch/posts/2025/05/28-gedtm30-global-30-meter-terrain-data/ #GIS #GISchat #geospatial #SwissGIS
GEDTM30: Global 30 meter terrain data – Spatialists – geospatial news

A team of researchers has released #GEDTM30, a global #DigitalTerrainModel with 30-meter (1 arcsecond) resolution, generated through #MachineLearning fusion of various data sources, and accompanied by 15 geomorphometric parameters computed at multiple spatial scales. Published under a CC-BY license, GEDTM30 offers open, high-resolution global terrain data and is accessible as cloud-optimized #GeoTIFF-s (#COG) via Zenodo and OpenLandMap.

Spatialists – geospatial news
GEDTM30: Global 30 meter terrain data: A team of researchers has released #GEDTM30, a global #DigitalTerrainModel with 30-meter (1 arcsecond) resolution, generated through #MachineLearning fusion of various data sources, and accompanied by 15 geomorphometric parameters computed at...
https://spatialists.ch/posts/2025/05-28-gedtm30-global-30-meter-terrain-data/ #GIS #GISchat #geospatial #SwissGIS
GEDTM30: Global 30 meter terrain data – Spatialists – geospatial news

A team of researchers has released #GEDTM30, a global #DigitalTerrainModel with 30-meter (1 arcsecond) resolution, generated through #MachineLearning fusion of various data sources, and accompanied by 15 geomorphometric parameters computed at multiple spatial scales. Published under a CC-BY license, GEDTM30 offers open, high-resolution global terrain data and is accessible as cloud-optimized #GeoTIFF-s (#COG) via Zenodo and OpenLandMap.

Spatialists – geospatial news
openlandmap/GEDTM30

Global Ensemble Digital Terrain modeling and parametrization at 30~m resolution (GEDTM30) - openlandmap/GEDTM30

GitHub

"Oops" appears to apply widely.

These are not small errors (says Capt. Obvious). Used to drive physics of various applications, surely a signficant source of inaccuracy?

"Application to real-world landscapes in California, reveal the systematic underestimation of surface area by up to a third, and mean slope angles by up to 10° in steep topography in current DTMs."

#DTM
#DigitalTerrainModel

https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024GL109517?af=R