dataset · United Kingdom
Government / regulator
Merged LiDAR based Digital Terrain Model (DTM) and Digital Surface Model (DSM) for England and Wales
This high resolution (1m) spatial dataset provides elevation and terrain information for England and Wales. It includes a digital terrain model (DTM) and a digital surface model (DSM), created by merging LiDAR-based, 1m DTMs and DSMs published by the Environmental Agency in 2023 (England) and Natural Resources Wales in 2024 (Wales). These source data are originally distributed as many small, region‑specific files; this dataset consolidates them into unified, seamless DTM and DSM products for the
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What's in it
- Data offered docs-verified
- DTM (bare-earth elevation), 1 m · DSM (surface elevation including buildings and vegetation), 1 m
- Coverage docs-verified
- England and Wales · 2000-06-06 to 2022-04-02
- Resolution docs-verified
- 1 m spatial resolution
- Formats docs-verified
- GeoTIFF
- Access docs-verified
- Open Government Licence (per DOCS). Bulk download via EIDC datastore with a personal access token (Bearer auth) using wget/curl; files are very large, so DOCS recommend the Jupyter notebook code instead.
Useful for
- Use cases llm-inferred
- Catchment terrain analysis (slope, flow direction, flow accumulation) for flood risk or hydrological model inputs · Surface water drainage strategy: overland flow path and depression analysis from the DTM · Canopy height estimation from DSM minus DTM for ecological or biodiversity net gain vegetation baselines · Topographic base surfaces for civils earthworks and levels design
- Audience llm-inferred
- flood consultants · hydrologists · drainage engineers · GIS analysts · ecologists · civils engineers
Limitations
- Constraints llm-inferred
- Very large: total approx. 572.8 GB, with individual files over 250 GB, so the Jupyter notebook subsetting workflow is recommended · Entry licence field says 'Non-Open government licence' but DOCS state Open Government Licence; verify before reuse · Stated temporal extent (2000-06-06 to 2022-04-02) predates the source LiDAR publication dates (England 2023, Wales 2024); clarify what the extent refers to · Scripted download requires a personal access token · No update frequency or vertical accuracy stated in DOCS · Canopy and hydrological analysis are provided only as external Python/Jupyter code, not as a tool or API
- Licence
- Non-Open government licence
- Authentication
- Unknown — review source docs
- GitHub stars
- Unknown
- Last commit
- Unknown
- Last successful page check
- 16/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Listed in ukceh-eidc public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (ukceh-eidc)