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Continental Europe Digital Terrain Model at 30 m resolution based on GEDI, ICESat-2, AW3D, GLO-30, EUDEM, MERIT DEM and background layers

Digital Terrain Model for Continental Europe based on the three publicly available Digital Surface Models and predicted using an Ensemble Machine Learning (EML). EML was trainined using GEDI level 2B points (Level 2A; "elev_lowestmode") and ICESat-2 (ATL08; "h_te_mean"): about 9 million points were overlaid vs MERITDEM , AW3D30 , GLO-30 , EU DEM , GLAD canopy height , tree cover and surface water cover maps, then an ensemble prediction model (mlr package in R) was

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What's in it

Data offered llm-inferred
digital terrain model (DTM) · ground elevation (ML-predicted from GEDI, ICESat-2 and DSM inputs)
Coverage llm-inferred
Continental Europe
Resolution llm-inferred
30 m
Access llm-inferred
Open dataset on Zenodo, licence CC-BY-4.0, no authentication listed

Useful for

Use cases llm-inferred
Flood risk screening where ground levels are needed and no local LiDAR DTM is available · Preliminary drainage or earthworks levels for catchment and site assessments in areas outside UK coverage · Terrain input for hydrological modelling of Continental European catchments
Audience llm-inferred
flood consultants · drainage engineers · hydrologists · GIS analysts · civils engineers

Limitations

Constraints llm-inferred
Source docs page returned 403 Forbidden, so no details could be verified · Terrain is ML-predicted from satellite DSMs and GEDI/ICESat-2 samples, not survey-grade · Accuracy and vertical error are not stated in the entry · Time span and file formats are not stated in the entry · Continental Europe only, so UK coverage is not confirmed
Licence
cc-by-4.0
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
16/10/2026
Page health
restricted
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Listed in zenodo public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (zenodo)