Skip to content
← Directory

dataset · United Kingdom

Government / regulator

Treescape typology at 1km resolution, Great Britain, 2018

This dataset consists of a Treescape typology for Great Britain (1km resolution). The dataset brings together data reflecting quantity, quality, configuration, productivity and management of woodlands and other woody features in the landscape along with additional geo-physical variables to provide environmental context. The typology was derived by data-driven machine learning, through Self-Organised Maps and this dataset presents the optimum number of stable clusters from the typology analysis.

Feature or claim this listing

Feature this listing — founding Featured slots are 50% off for 6 months

Represent Treescape typology at 1km resolution, Great Britain, 2018? Send a claim for review so we can discuss listing updates. Claims do not automatically grant ownership or verification.

Explore paid sponsorship →

What's in it

Data offered docs-verified
Treescape typology (stable 14-class classification of woody-feature landscapes, Great Britain)
Coverage docs-verified
Great Britain · 2018-01-01 to 2018-12-31
Resolution docs-verified
1000 m (1 km grid)
Formats docs-verified
TIFF
Access docs-verified
Free download of the whole dataset (zip package) under the Open Government Licence per the docs; the ENTRY licence field says 'Non-Open government licence', which conflicts and should be checked.

Useful for

Use cases llm-inferred
Treescape context layer for natural capital or biodiversity baseline reporting · Landscape-scale woodland and woody-feature classification for habitat or BNG baseline studies · Environmental context input for land-use and planning assessments across GB
Audience llm-inferred
ecologists · GIS analysts · environmental consultants · planners · natural capital specialists

Limitations

Constraints llm-inferred
Represents 2018 only; no update cadence is stated · Licence conflict: catalogue entry says 'Non-Open government licence' but docs say Open Government Licence · 1 km grid is too coarse for site-scale or individual-tree work · Derived machine-learning classification (Self-Organised Maps); cluster interpretation depends on the methodology · Distributed as a file download; no API or MCP access
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)