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| UKCEH Land Cover map | |
|---|---|
| Name | UKCEH Land Cover map |
| Creator | UK Centre for Ecology & Hydrology |
| Country | United Kingdom |
| Language | English |
| Subject | Land cover mapping |
| Date | 2015–present |
| Format | Raster |
| License | Open data (varies) |
UKCEH Land Cover map is a high-resolution raster dataset produced by the UK Centre for Ecology & Hydrology for mapping land cover across Great Britain and surrounding areas. It supports environmental science, conservation planning, agricultural policy and natural capital accounting used by agencies such as the Department for Environment, Food and Rural Affairs, Natural England, Scottish Environment Protection Agency and Natural Resources Wales. The dataset is widely cited in work involving the Environment Agency, Ordnance Survey, Met Office and international initiatives including the European Environment Agency and UN Environment Programme.
The map provides spatially explicit classes at 25 m (and later 10 m) resolution derived from satellite imagery and field data, covering habitats such as woodland, arable land, urban areas and wetlands. Stakeholders including the Forestry Commission, Environment Agency, National Trust, Royal Society for the Protection of Birds and academic institutions such as University of Oxford, University of Cambridge, Imperial College London and University of Edinburgh use the product for modelling biodiversity, carbon stocks and ecosystem services. Funders and partners have included Natural Environment Research Council, European Commission programmes and the Wellcome Trust in linked projects.
Production combines multi-temporal optical remote sensing from sensors such as Sentinel-2, Landsat series and historical archives with ancillary layers including the Ordnance Survey master maps, field survey observations from the Centre’s monitoring networks and national inventories like the UK Countryside Survey. Processing pipelines leverage algorithms implemented in platforms comparable to those used by groups at European Space Agency facilities and research teams at NASA research centres. Collaborations have involved specialists from Centre for Ecology & Hydrology (CEH), the Joint Nature Conservation Committee and university remote sensing groups including University College London and University of Leicester.
The legend uses hierarchical classes distinguishing broad categories such as woodland, grassland, arable and urban fabric, and more detailed subclasses for coniferous and broadleaved woodland, improved grassland, and semi-natural habitats. The scheme aligns with international frameworks referenced by agencies like the Intergovernmental Panel on Climate Change and the Convention on Biological Diversity, and interoperates with datasets such as the Corine Land Cover inventory and national habitat inventories used by Scottish Natural Heritage.
Accuracy assessment applies stratified random sampling and confusion matrices against independent validation points collected in field campaigns and national surveys like the UK National Ecosystem Assessment. Validation exercises have used statistical methods advocated by experts at the Royal Statistical Society and testing frameworks comparable to those applied by European Space Agency and US Geological Survey operational mapping programmes. Reported user’s and producer’s accuracies vary by class and edition, with higher accuracies for dominant classes such as arable and urban land and lower accuracies for mixed or transitional habitats.
Initial wall-to-wall maps were produced for baseline years and have been updated to incorporate successive epochs, reflecting agricultural change, afforestation initiatives by the Forestry Commission and urban expansion tracked by local authorities and national censuses such as those conducted by the Office for National Statistics. The project’s update cadence has synchronized with satellite mission timelines like Sentinel-2A and Sentinel-2B launches and national monitoring programmes supported by the Natural Environment Research Council.
The map underpins modelling for carbon accounting used by policy frameworks such as the Climate Change Act 2008 reporting, habitat connectivity analyses used by conservation NGOs including the Wildlife Trusts and species distribution modelling in research at institutions like the Royal Botanic Gardens, Kew. It supports land use planning by local planning authorities, agricultural statistics used by the Department for Environment, Food and Rural Affairs and environmental impact assessment for infrastructure projects by firms and agencies linked to the Highways England network and heritage assessments involving English Heritage.
Critiques have focused on classification ambiguity in heterogeneous mosaics, temporal mismatches against ground reality highlighted in reports by organisations such as Alderney Wildlife Trust and challenges in mapping small linear features like hedgerows noted by researchers at University of Exeter. Users have noted limitations when integrating with thematic datasets such as detailed soil maps from the James Hutton Institute or fine-scale ecological surveys by the Wildfowl & Wetlands Trust, and have recommended complementary field survey and local expertise from bodies like Natural England and county-level biological records centres.
Category:Land use Category:Geographic information systems