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:995f3744-0f95-426f-9ce7-b2fa729f9f4a
dcterms:title "Land Cover Map 2025 (LCM2025 - 25m rasterised land parcels, GB)" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/995f3744-0f95-426f-9ce7-b2fa729f9f4a> ;
adms:identifier <https://doi.org/10.5285/995f3744-0f95-426f-9ce7-b2fa729f9f4a> ;
dcterms:bibliographicCitation "Rowland, C.S., O'Neil, A.W., Hunt, M.L., Marston, C.G. (2026). Land Cover Map 2025 (LCM2025 - 25m rasterised land parcels, GB). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/995f3744-0f95-426f-9ce7-b2fa729f9f4a" ;
dcterms:description "This is a 25m pixel dataset 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 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."
] ;
dcterms:spatial [
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dcterms:temporal
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dcat:startDate "2025-01-01"^^xsd:date ;
dcat:endDate "2025-12-31"^^xsd:date ;
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dcterms:subject
"Great Britain",
<http://onto.nerc.ac.uk/CEHMD/topic/11>,
<http://onto.nerc.ac.uk/CEHMD/topic/18>,
"Biodiversity Action Plan",
"Land cover map",
"Remote sensing",
<http://www.eionet.europa.eu/gemet/concept/15124>,
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dcterms:license <https://eidc.ac.uk/licences/lcm-raster/plain>
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