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:c71ad6f1-200c-4fdf-b946-a2e3923794ee
dcterms:title "Land Cover Map 2025 (LCM2025 - 1km summary rasters, GB and N. Ireland)" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/c71ad6f1-200c-4fdf-b946-a2e3923794ee> ;
adms:identifier <https://doi.org/10.5285/c71ad6f1-200c-4fdf-b946-a2e3923794ee> ;
dcterms:bibliographicCitation "Rowland, C.S., O'Neil, A.W., Hunt, M.L., Marston, C.G. (2026). Land Cover Map 2025 (LCM2025 - 1km summary rasters, GB and N. Ireland). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/c71ad6f1-200c-4fdf-b946-a2e3923794ee" ;
dcterms:description "This 1 km summary pixel dataset 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 1 km percentage product provides the percentage cover for each of the 21 land cover classes for 1 km x 1 km pixels. This product contains one band per habitat class, producing 21 and 10 band images for the target and aggregate class products respectively. The 1 km dominant coverage product is based on the 1 km percentage product, and reports the land cover class with the highest percentage cover for each 1 km pixel. A full description of this and all UKCEH LCM2025 products are available from the LCM2025 product documentation." ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. A Random Forest classifier is used to classify four composite satellite images representing per season median surface reflectance, based on training data comprising locations of known land cover for 21 land cover classes. 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 LCM2025 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. The 25 m rasterised land parcels product is created by rasterising the corresponding land parcel product."
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dcterms:spatial [
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dcat:endDate "2025-12-31"^^xsd:date ;
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"Biodiversity Action Plan",
"Great Britain",
"Northern Ireland",
"Habitat",
"Land cover map",
"Mapping",
"Earth observation",
"Remote sensing" ;
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dcterms:available "2026-10-12"^^xsd:date ;
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