{"accessLimitation":{"value":"Registration is required to access this data","code":"Available","uri":"https://www.eidc.ac.uk/help/faq/registration"},"authors":[{"familyName":"Morton","givenName":"R.D.","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-3947-6463","fullName":"Morton, R.D."},{"familyName":"Marston","givenName":"C.G.","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-2070-2187","fullName":"Marston, C.G."},{"familyName":"O'Neil","givenName":"A.W.","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-3591-1034","fullName":"O'Neil, A.W."},{"familyName":"Rowland","givenName":"C.S.","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-0459-506X","fullName":"Rowland, C.S."}],"availability":"Available","boundingBoxes":[{"westBoundLongitude":-8.648,"eastBoundLongitude":1.768,"southBoundLatitude":49.864,"northBoundLatitude":60.861,"bounds":"{\"type\": \"Feature\",      \"properties\": {},      \"geometry\": {        \"type\": \"Polygon\",        \"coordinates\": [[[-8.648, 49.864], [-8.648, 60.861], [1.768, 60.861], [1.768, 49.864], [-8.648, 49.864]]]      }}","coordinates":"[[[-8.648, 49.864], [-8.648, 60.861], [1.768, 60.861], [1.768, 49.864], [-8.648, 49.864]]]"}],"citation":{"authors":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"bibtex":"https://catalogue.ceh.ac.uk/documents/6c22cf6e-b224-414e-aa85-900325baedbd/citation?format=bib","day":25,"doi":"10.5285/6c22cf6e-b224-414e-aa85-900325baedbd","month":10,"publisher":"NERC EDS Environmental Information Data Centre","resourceTypeGeneral":"dataset","ris":"https://catalogue.ceh.ac.uk/documents/6c22cf6e-b224-414e-aa85-900325baedbd/citation?format=ris","title":"Land Cover Map 2020 (25m rasterised land parcels, GB) ","url":"https://doi.org/10.5285/6c22cf6e-b224-414e-aa85-900325baedbd","year":2021},"custodians":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"custodian","email":"info@eidc.ac.uk"}],"datasetReferenceDate":{"publicationDate":"2021-10-25"},"description":"This is a 25m pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.  It is a three-band dataset 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 LCM2020 products are available from the LCM2020 product documentation.","distributionFormats":[{"name":"TIFF","type":"image/tiff","version":"unknown"}],"distributorContacts":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"distributor","email":"info@eidc.ac.uk"}],"id":"6c22cf6e-b224-414e-aa85-900325baedbd","incomingCitationCount":3,"incomingCitations":[{"description":"Shaw, J., Cunningham, C., Harper, S., Ragazzon-Smith, A., Lythgoe, P.R. & Walker, T.R. (2023) Biomonitoring of honey metal(loid) pollution in Northwest England by citizen scientists. Environmental Advances 13, 100406.","url":"https://doi.org/10.1016/j.envadv.2023.100406"},{"description":"Chapman, C., & Hall, J.W. (2022). Designing green infrastructure and sustainable drainage systems in urban development to achieve multiple ecosystem benefits. In Sustainable Cities and Society (Vol. 85, p. 104078). Elsevier BV. ","url":"https://doi.org/10.1016/j.scs.2022.104078"},{"description":"Jones, G.C.A., Woods, D., Broom, C.M., Panter, C.T., Sutton, L.J., Drewitt, E.J.A., & Fathers, J. (2024). Fine-Scale Spatial Variation in Eurasian Kestrel Falco tinnunculus Diet in Southern England Revealed from Indirect Prey Sampling and Direct Stable Usotope Analysis. In Ardea (Vol. 112, Issue 1). Netherlands Ornithologists' Union. ","url":"https://doi.org/10.5253/arde.2023.a3"}],"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/6c22cf6e-b224-414e-aa85-900325baedbd.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Environmental Monitoring Facilities","uri":"http://inspire.ec.europa.eu/theme/ef"}],"keywordsOther":[{"value":"Biodiversity action plan"},{"value":"habitat","uri":"http://www.eionet.europa.eu/gemet/concept/3808"},{"value":"land cover","uri":"http://www.eionet.europa.eu/gemet/concept/4612"}],"keywordsPlace":[{"value":"Great Britain"}],"keywordsTheme":[{"value":"Land cover","uri":"http://onto.nerc.ac.uk/CEHMD/topic/11"},{"value":"Mapping","uri":"http://onto.nerc.ac.uk/CEHMD/topic/18"}],"licences":[{"value":"Licence terms and conditions apply","code":"license","uri":"https://eidc.ac.uk/licences/lcm-raster/plain"}],"lineage":"UKCEH's automated land cover classification algorithms generated the 10m classified pixels, from which all remaining products were generated. Training data for classification were automatically selected from stable land covers over the interval of 2017 to 2019. 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.\n\nLand cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.\n\nThis dataset represents LCM2020 25m rasterised land parcels.  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