Land Cover Map 2023 (1km summary rasters, GB and N. Ireland)
This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas, target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class. The 1km percentage product provides the percentage cover for each of the 21 land cover classes for 1km x 1km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1km dominant coverage product is based on the 1km percentage product, and reports the land cover class with the highest percentage cover for each 1km pixel. A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation accompanying this dataset. Full details about this dataset can be found at
https://doi.org/10.5285/96bc980a-31b4-4d1b-87e9-007d4932a56b
Simple
- Date (Publication)
- 2024-05-20
- Identifier
- doi: / 10.5285/96bc980a-31b4-4d1b-87e9-007d4932a56b
- Other citation details
- Morton, R.D., Marston, C.G., O’Neil, A.W., Rowland, C.S. (2024). Land Cover Map 2023 (1km summary rasters, GB and N. Ireland). NERC EDS Environmental Information Data Centre 10.5285/96bc980a-31b4-4d1b-87e9-007d4932a56b
Point of contact
UK Centre for Ecology & Hydrology
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Marston, C.G
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
- Registration is required to access this data
- 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: Morton, R.D., Marston, C.G., O’Neil, A.W., Rowland, C.S. (2024). Land Cover Map 2023 (1km summary rasters, GB and N. Ireland). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/96bc980a-31b4-4d1b-87e9-007d4932a56b
- Spatial representation type
- grid Grid
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Environment
- Imagery base maps earth cover
- Begin date
- 2023-01-01
- End date
- 2023-12-31
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Unique resource identifier
- TM 75 / Irish Grid (EPSG: 29903)
- Distribution format
-
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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. 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 LCM2023 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 documentationaccompanying this dataset. The 1 km percentage and dominant products are created by calculating the percentage cover for each land cover classes for every 1km x 1km pixel, then reporting the dominant land cover class with the highest percentage cover for each 1km pixel.
- File identifier
- 96bc980a-31b4-4d1b-87e9-007d4932a56b 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
- 2024-07-18T07:38:28
- 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
N
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E
W
Provided by
Associated resources
Not available