Land Cover Map 2021 (25m rasterised land parcels, GB)
This is a 25m pixel data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. It is a three-band raster in GeoTiff format, produced by rasterising three properties of the classified land parcels dataset. The first band gives the most likely land cover type; the second band gives the per-parcel probability of the land cover, the third band is a measure of parcel purity. The probability and purity bands (scaled 0 to 100) combine to give an indication of uncertainty. A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset. Full details about this dataset can be found at
https://doi.org/10.5285/a1f85307-cad7-4e32-a445-84410efdfa70
Simple
- Date (Publication)
- 2022-08-03
- Identifier
- doi: / 10.5285/a1f85307-cad7-4e32-a445-84410efdfa70
- Other citation details
- Marston, C., Rowland, C.S., O'Neil, A.W., Morton, R.D. (2022). Land Cover Map 2021 (25m rasterised land parcels, GB). NERC EDS Environmental Information Data Centre 10.5285/a1f85307-cad7-4e32-a445-84410efdfa70
Point of contact
UK Centre for Ecology & Hydrology
-
Marston, C.
https://orcid.org/0000-0002-2070-2187
- GEMET - INSPIRE themes, version 1.0
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- Land Cover
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- Controlled
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- Licence terms and conditions apply
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Marston, C., Rowland, C.S., O'Neil, A.W., Morton, R.D. (2022). Land Cover Map 2021 (25m rasterised land parcels, GB). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/a1f85307-cad7-4e32-a445-84410efdfa70
- Spatial representation type
- grid Grid
- Distance
- 25 urn:ogc:def:uom:EPSG::9001
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Environment
- Begin date
- 2021-01-01
- End date
- 2021-12-31
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W
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
-
-
TIFF
()
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TIFF
()
- OnLine resource
-
Download the data
Download a copy of this data
- OnLine resource
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra. Land cover was validated by organising the 10 m pixel classification into a land parcel framework (the LCM2021 classified land parcels product). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation accompanying this dataset. The 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.
- File identifier
- a1f85307-cad7-4e32-a445-84410efdfa70 XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-03-21T13:23:25
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
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Provided by

Associated resources
Not available