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A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Rowland","O'Neil","Morton"],"fullName":["Marston, C.","Rowland, C.S.","O'Neil, A.W.","Morton, R.D."],"funder":["Natural Environment Research Council"],"givenName":["C.","C.S.","A.W.","R.D.","Chris"],"grant":["NE/R016429/1"],"identifier":"f3310fe1-a6ea-4cdd-b9f6-f7fc66e4652e","incomingCitationCount":1,"keyword":["Land cover","Mapping","Biodiversity Action Plan","Northern Ireland","land cover","habitat"],"keywordsOther":["Biodiversity Action Plan","Northern Ireland","land cover","habitat"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2018 to 2020. 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 10 m pixel classification into a land parcel framework (the LCM2021 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 accompanying this dataset.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T18:06:00.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0003-3947-6463"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-08-03T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/f3310fe1-a6ea-4cdd-b9f6-f7fc66e4652e","10.5285/f3310fe1-a6ea-4cdd-b9f6-f7fc66e4652e","doi:10.5285/f3310fe1-a6ea-4cdd-b9f6-f7fc66e4652e"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Northern Ireland, 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…","state":"published","title":"Land Cover Map 2021 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"availability":"Available","catalogue":"eidc","dataFormat":["Shapefile"],"description":"Vegetation map of Plynlimon catchments. The vegetation map was created for assisting with identifying soil survey vegetation boundaries, and is not an authoritative vegetation survey. The defined vegetation classes correspond with the classes defined in CEH Land Cover Map 2000 (LCM 2000). LCM2000 was classified using a hierarchical nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats which encompasses the entire range of UK habitats. ","documentType":"GEMINI_DOCUMENT","identifier":"9d7229b3-47c0-4255-8d57-dda863065774","incomingCitationCount":0,"keyword":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago","Flood and Droughts Digital Research Infrastructure (FDRI)","Land cover","vegetation","soil"],"keywordsOther":["vegetation","soil"],"keywordsPlace":["United Kingdom","Wales","plynlimon","severn","hafren","hore","tanllwyth","wye","gwy","cyff","iago"],"keywordsProject":["Flood and Droughts Digital Research Infrastructure (FDRI)"],"keywordsTheme":["Land cover"],"licence":"Open government licence","lineage":"Different vegetation classes were digitised on the screen from aerial photography from 2009, of 25 cm resolution, of the area. Then, the digitised map was verified on the ground and amended as needed.","locations":["POLYGON((-3.771 52.432, -3.771 52.55, -3.687 52.55, -3.687 52.432, -3.771 52.432))"],"metadataDate":"2026-07-25T10:24:05.000Z","organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-04-18T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1396276770403","CEH:EIDC::1396276770403","https://catalogue.ceh.ac.uk/id/9d7229b3-47c0-4255-8d57-dda863065774"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"Vegetation map of Plynlimon catchments. The vegetation map was created for assisting with identifying soil survey vegetation boundaries, and is not an authoritative vegetation survey. The defined vegetation classes correspond with the classes defined in CEH Land Cover…","state":"published","title":"Plynlimon research catchments: vegetation map","topic":["0/Land cover/"],"version":1.0,"view":["public","danor"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This is a web map service (WMS) for the 10-metre Land Cover Map 2021.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["Dan"],"grant":["NE/R016429/1"],"identifier":"2ad19a50-b940-469e-a40d-17818b77020c","incomingCitationCount":0,"keyword":["Great Britain","Land cover","Mapping","UK-SCAPE","infoMapAccessService","Web map service","WMS","Land cover map"],"keywordsOther":["UK-SCAPE","infoMapAccessService","Web map service","WMS","Land cover map"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"UKCEH’s automated land cover classification algorithms generated the 10m classified pixels. Training data 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 LCM2021 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:31:15.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2022-09-30T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2ad19a50-b940-469e-a40d-17818b77020c"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a web map service (WMS) for the 10-metre Land Cover Map 2021.  The map presents the and surface classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.","state":"published","title":"Land Cover Map 2021 10m web map service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology","York University"],"authorFamilyName":["Hunt","Pocock","Goodwin","Bowler","Hill","Cunningham","White","Beale","Maskell"],"authorFullName":["Hunt, M.L.","Pocock, M.J.O.","Goodwin, C.E.D.","Bowler, D.E.","Hill, J.K.","Cunningham, C.A.","White, P.C.L.","Beale, C.M.","Maskell, L.C."],"authorGivenName":["M.L.","M.J.O.","C.E.D.","D.E.","J.K.","C.A.","P.C.L.","C.M.","L.C."],"authorOrcid":["https://orcid.org/0000-0003-4435-3644","https://orcid.org/0000-0003-4375-0445","https://orcid.org/0000-0003-0093-9838","https://orcid.org/0000-0002-7775-1668","https://orcid.org/0000-0003-1871-7715","https://orcid.org/0000-0001-7292-3144","https://orcid.org/0000-0002-7496-5775","https://orcid.org/0000-0002-2960-5666","https://orcid.org/0000-0003-4006-7755"],"authorRor":["https://ror.org/00pggkr55","https://ror.org/05fq50484"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a Treescape typology for Great Britain (1km resolution). The dataset brings together data reflecting quantity, quality, configuration, productivity and management of woodlands and other woody features in the landscape along with additional geo-physical variables to provide environmental context. The typology was derived by data-driven machine learning, through Self-Organised Maps and this dataset presents the optimum number of stable clusters from the typology analysis. The typology represents the situation in 2018; this was the most recent year for which all key woody-feature datasets were consistently available across Great Britain.\n\nThis dataset was generated to provide the first consistent, data‑driven classification of treescapes across Great Britain. Treescapes comprise the full range of woody features in rural and urban landscapes - including ancient or naturalised woodlands, plantations, hedgerows, lines of trees, orchards, wood pasture, agroforestry, woodlots and individual trees. Treescapes describe not only tree cover but reflect the visual and ecological arrangement of all trees in a landscape; the spatial configuration, density, species mix, aesthetic value, cultural and historic interactions. Existing products map woodland extent or tree cover, but currently we lack a consistent way of describing and classifying these treescapes, limiting our ability to understand how different woody features combine to shape ecosystem functions and benefits; this dataset was created to address this issue.","documentType":"GEMINI_DOCUMENT","familyName":["Hunt","Pocock","Goodwin","Bowler","Hill","Cunningham","White","Beale","Maskell"],"fullName":["Hunt, M.L.","Pocock, M.J.O.","Goodwin, C.E.D.","Bowler, D.E.","Hill, J.K.","Cunningham, C.A.","White, P.C.L.","Beale, C.M.","Maskell, L.C.","Merryn Hunt"],"funder":["Natural Environment Research Council"],"givenName":["M.L.","M.J.O.","C.E.D.","D.E.","J.K.","C.A.","P.C.L.","C.M.","L.C.","Merryn"],"grant":["NE/V020226/1","NE/V02020X/1"],"identifier":"63e28ccb-465a-4c56-85b6-fd95ef67c28f","incomingCitationCount":0,"keyword":["Biodiversity","Ecosystem services","Land cover","Land use","woodland","self-organising maps","machine learning","natural capital","tree","forestry","landscape"],"keywordsOther":["woodland","self-organising maps","machine learning","natural capital","tree","forestry","landscape"],"keywordsTheme":["Biodiversity","Ecosystem services","Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The GB Treescape Typology was created by integrating 45 variables from 11 openly available national datasets describing woodland extent, tree cover, woody linear features, vegetation productivity, woodland management and environmental context across Great Britain. These datasets were harmonised to a 1 km grid, and additional metrics - such as patch area, cohesion, aggregation index and nearest‑neighbour distances - were derived from 25 m land cover data using FRAGSTATS. Vegetation indices (NDVI, NDMI, GRVI) were generated from Sentinel‑2 monthly composites in Google Earth Engine, with non‑woodland areas masked out. All variables were normalised before classification. \n\nA treescape typology was then produced using Self‑Organising Maps (SOMs), with 1000 iterations run to ensure stability. Nodes were matched across iterations using hierarchical clustering, and each grid cell was assigned to the node it most frequently belonged to. Quality assurance included testing woodland cover thresholds, assessing Euclidean distances to cluster centroids, and removing overly dominant contextual variables. The final product is a stable 14‑class typology representing the structure, composition and configuration of treescapes across GB.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-28T12:21:21.000Z","orcid":["https://orcid.org/0000-0003-4435-3644","https://orcid.org/0000-0003-4375-0445","https://orcid.org/0000-0003-0093-9838","https://orcid.org/0000-0002-7775-1668","https://orcid.org/0000-0003-1871-7715","https://orcid.org/0000-0001-7292-3144","https://orcid.org/0000-0002-7496-5775","https://orcid.org/0000-0002-2960-5666","https://orcid.org/0000-0003-4006-7755"],"organisation":["UK Centre for Ecology & Hydrology","York University","NERC EDS Environmental Information Data Centre"],"publicationDate":"2026-07-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/63e28ccb-465a-4c56-85b6-fd95ef67c28f","10.5285/63e28ccb-465a-4c56-85b6-fd95ef67c28f","doi:10.5285/63e28ccb-465a-4c56-85b6-fd95ef67c28f"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/05fq50484","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a Treescape typology for Great Britain (1km resolution). The dataset brings together data reflecting quantity, quality, configuration, productivity and management of woodlands and other woody features in the landscape along with additional geo-physical…","state":"published","supplementalName":["Connected Treescapes website"],"title":"Treescape typology at 1km resolution, Great Britain, 2018","topic":["0/Biodiversity/","0/Ecosystem services/","0/Land cover/","0/Land use/"],"version":1.0,"view":["public","elsdhi"]},{"authorAffiliation":["University of East Anglia","University of Cambridge "],"authorFamilyName":["Barnsley","Lovett","Dicks"],"authorFullName":["Barnsley, S.B.","Lovett, A.A.","Dicks, L.V."],"authorGivenName":["S.B.","A.A.","L.V. "],"authorOrcid":["https://orcid.org/0000-0002-7006-5390","https://orcid.org/0000-0003-0554-9273","https://orcid.org/0000-0002-8304-4468"],"authorRor":["https://ror.org/026k5mg93","https://ror.org/013meh722"],"availability":"Available","catalogue":"eidc","dataFormat":["Comma-separated values (CSV)","Shapefile","TIFF"],"description":"Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output and other data relevant to the project such as the width of floral units.\n\nThe imagery was acquired by Spectrum Aviation using A6D-100c (50mm) Hasselblad cameras with bayer filters, mounted on a Sky Arrow 650 manned aircraft. Ground-truth data for training maximum likelihood classifications and for verifying the accuracy of classifications were gathered within eight days of imagery acquisition. Ground-truth data were acquired from sown field margins and hedgerow surrounding one study field.\n\nThis dataset was acquired from March to July 2019 at a farm in Northamptonshire, UK. Data were acquired as part of a NERC funded iCASE PhD studentship (NERC grant NE/N014472/1) based at the University of East Anglia and in collaboration with Hutchinsons Ltd. The aim of the research was to map the floral units of five nectar-rich flowering plant species using very high resolution multispectral imagery. Each species constitutes an important food resource for pollinators. The plant species in question were Prunus spinosa, Crataegus monogyna, Silene dioica, Centaurea nigra and Rubus fruticosus.","documentType":"GEMINI_DOCUMENT","familyName":["Barnsley","Lovett","Dicks"],"fullName":["Barnsley, S.B.","Lovett, A.A.","Dicks, L.V.","Barnsley, S."],"funder":["Natural Environment Research Council"],"givenName":["S.B.","A.A.","L.V. ","S."],"grant":["NE/N014472/1"],"identifier":"cf68be0c-e969-4190-8ec6-abeedb51b42c","incomingCitationCount":1,"keyword":["DeWALT laser beam measure","Environmental survey","Land cover","Pollinators","semi-automatic classification ","SCP plugin","QGIS version 3.4.15 ","Silene dioica","Centaurea nigra","Rubus fruticosus","Crataegus monogyna","Prunus spinosa","hedgerow","red campion","hawthorn","bramble","blackthorn","common knapweed","hardhead"],"keywordsInstrument":["DeWALT laser beam measure"],"keywordsOther":["semi-automatic classification ","SCP plugin","QGIS version 3.4.15 ","Silene dioica","Centaurea nigra","Rubus fruticosus","Crataegus monogyna","Prunus spinosa","hedgerow","red campion","hawthorn","bramble","blackthorn","common knapweed","hardhead"],"keywordsTheme":["Environmental survey","Land cover","Pollinators"],"licence":"Open government licence","lineage":"Multispectral data were acquired across red, green, blue and near-infrared bands on 28 March, 15 May and 4 July. Prior to imagery acquisition, 40X60cm boards that were visible within the imagery were established within the margins surrounding one field at our study farm. These were used as ground-control points to locate clusters of floral units within the margins. Ground-truth data (i.e. the locations of floral units) were gathered within 8 days of imagery acquisition.\n\nThe company that acquired the multispectral data (Spectrum Aviation) carried out orthorectification and stitched individual images together into an orthomosaic. Data values were kept in a raw digital number format.\n\n Between July 2019 and February 2021, further image processing, e.g. clipping of the image and removal of irrelevant spectral bands was carried out in QGIS. During the same timeframe, ground-truth data were divided into data to be used for training the classifications and for carrying out independent accuracy assessments. The maximum likelihood classifications were applied to the imagery with different iterations applied each time, i.e. the training sets were tweaked to increase classification accuracies. ","locations":["POLYGON((-0.824 52.245, -0.824 52.308, -0.711 52.308, -0.711 52.245, -0.824 52.245))"],"metadataDate":"2026-07-25T14:07:14.000Z","orcid":["https://orcid.org/0000-0002-7006-5390","https://orcid.org/0000-0003-0554-9273","https://orcid.org/0000-0002-8304-4468"],"organisation":["University of East Anglia","University of Cambridge ","NERC EDS Environmental Information Data Centre","University of Cambridge"],"publicationDate":"2021-07-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf68be0c-e969-4190-8ec6-abeedb51b42c","10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c","doi:10.5285/cf68be0c-e969-4190-8ec6-abeedb51b42c"],"resourceType":"Dataset","rightsHolder":["University of East Anglia","University of Cambridge"],"ror":["https://ror.org/026k5mg93","https://ror.org/013meh722","https://ror.org/04xw4m193"],"shortenedDescription":"Data presented here include imagery with ground-sampling distances of 3 cm and 7 cm for March 2019, May 2019 and July 2019. Also included are the corresponding ground-truth training and verification data presented as shapefiles, as well as the classification output…","state":"published","title":"Multispectral airborne imagery and associated classifications, training data and validation data, for mapping nectar-rich floral resources for pollinators, Northamptonshire, UK 2020","topic":["0/Environmental survey/","0/Land cover/","0/Pollinators/"],"version":1.0,"view":["public","danor"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Morton"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Morton, D."],"givenName":["R.M.","G.M.","J.M.","R.A.","A.G","R.","N.J.","R.T","P.","F.F.","Daniel"],"identifier":"f802edfc-86b7-4ab9-b8fa-87e9135237c9","incomingCitationCount":2,"keyword":["Great Britain","Land cover","Habitats"],"keywordsOther":["Habitats"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T18:09:22.000Z","orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287415172209","CEH:EIDC::1287415172209","https://catalogue.ceh.ac.uk/id/f802edfc-86b7-4ab9-b8fa-87e9135237c9","10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9","doi:10.5285/f802edfc-86b7-4ab9-b8fa-87e9135237c9"],"resourceType":"Dataset","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 25m resolution raster version of the Land Cover Map 2000 for Great Britain. Each 25m pixel represents a 25m area of land cover target class, broadly representing Broad Habitats (see below). The dataset is part of a series of data products…","state":"published","supplementalDescription":["Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson, A.G. (2002). The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39. 15-25."],"supplementalName":["Project website"],"title":"Land Cover Map 2000 (25m raster, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SpatiaLite"],"description":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. 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A full description of this and all UKCEH LCM2023 products are available from the LCM2023 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"50b344eb-8343-423b-8b2f-0e9800e34bbd","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Biodiversity Action Plan","map","land cover","habitat"],"keywordsOther":["Biodiversity Action Plan","map","land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2020 to 2022. 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.  \nLand 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 documentation.\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T23:02:59.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-20T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/50b344eb-8343-423b-8b2f-0e9800e34bbd","10.5285/50b344eb-8343-423b-8b2f-0e9800e34bbd","doi:10.5285/50b344eb-8343-423b-8b2f-0e9800e34bbd"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a vector data set representing the land surface of Great Britain, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel datasets…","state":"published","title":"Land Cover Map 2023 (land parcels, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","jashun"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["ASCII grid","Esri .hdr RAW raster","TIFF"],"description":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. Each 1km pixel represents the dominant target class (or 'sub class') across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB). Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. ","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Morton"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Morton, D."],"givenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F.","Dan"],"identifier":"abff8409-0995-48d2-9303-468e1a9fe3df","incomingCitationCount":0,"keyword":["Great Britain","Land cover","land cover","habitat"],"keywordsOther":["land cover","habitat"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"In a major development of the 1990 methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see the on-line supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T13:22:05.000Z","orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287415705995","CEH:EIDC::1287415705995","https://catalogue.ceh.ac.uk/id/abff8409-0995-48d2-9303-468e1a9fe3df","10.5285/abff8409-0995-48d2-9303-468e1a9fe3df","doi:10.5285/abff8409-0995-48d2-9303-468e1a9fe3df"],"resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Great Britain. Each 1km pixel represents the dominant target class (or 'sub class') across the 1km area. The target classes broadly represent Broad Habitats (see below). The dataset…","state":"published","supplementalDescription":["Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson, A.G. (2002). The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39. 15-25."],"title":"Land Cover Map 2000 (1km dominant target class, GB)","topic":["0/Land cover/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Marston","Morton","O'Neil","Rowland"],"authorFullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["C.G.","R.D.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is a 25m pixel data set representing the land surface of Northern Ireland, 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 LCM2022 products are available from the LCM2022 product documentation.","documentType":"GEMINI_DOCUMENT","familyName":["Marston","Morton","O'Neil","Rowland"],"fullName":["Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C.S."],"funder":["Natural Environment Research Council"],"givenName":["C.G.","R.D.","A.W.","C.S."],"grant":["NE/R016429/1"],"identifier":"59a1555f-1c51-4724-97b5-c61a7bef353d","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Map","Habitat","Biodiversity Action Plan"],"keywordsOther":["Map","Habitat","Biodiversity Action Plan"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"UKCEH's automated land cover algorithms classify 10 m pixels across the whole of UK. Training data were automatically selected from stable land covers over the interval of 2019 to 2021. 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 10 m pixel classification into a land parcel framework (the LCM2022 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.\n\nThe 25 m rasterised land parcels product is created by pixelating the corresponding land parcel product.\n","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T23:07:36.000Z","orcid":["https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-05-17T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/59a1555f-1c51-4724-97b5-c61a7bef353d","10.5285/59a1555f-1c51-4724-97b5-c61a7bef353d","doi:10.5285/59a1555f-1c51-4724-97b5-c61a7bef353d"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is a 25m pixel data set representing the land surface of Northern Ireland, 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…","state":"published","title":"Land Cover Map 2022 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Broughton","Burkmar","McCracken","Mitschunas","Norton","Pallett","Patton","Redhead","Staley","Wood","Pywell"],"authorFullName":["Broughton, R.K.","Burkmar, R.","McCracken, M.","Mitschunas, N.","Norton, L.R.","Pallett, D.W.","Patton, J.","Redhead, J.W.","Staley, J.T.","Wood, C.M.","Pywell, R.F."],"authorGivenName":["R.K.","R.","M.","N.","L.R.","D.W.","J.","J.W.","J.T.","C.M.","R.F."],"authorOrcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0002-8298-8838","https://orcid.org/0000-0002-1622-0281","https://orcid.org/0000-0002-3981-6547","https://orcid.org/0009-0002-2534-8938","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-6467-3712","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-6431-9959"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset contains a model of the extent and height class of woody linear features on field boundaries in England, including hedgerows, tree lines and semi-natural thickets of shrubs and trees. The model was derived from processing of the Environment Agency lidar product (National Lidar Programme), captured in 2016-2021, and the linework is consistent with the polygon boundaries used in the UK Centre for Ecology & Hydrology (UKCEH) Land Cover Map (LCM).  \n\nDue to expected low densities of woody linear features, and potential uncertainty, areas excluded from the coverage include LCM classes of mountain/moor/heath, open water and the coastal zone, urban/suburban areas and woodlands (i.e., areas of continuous non-linear woody cover).  An area of approximately 24 x 25 km on the North Yorkshire Moors was also excluded from the model, as this area was not mapped by the EA lidar.","documentType":"GEMINI_DOCUMENT","familyName":["Broughton","Burkmar","McCracken","Mitschunas","Norton","Pallett","Patton","Redhead","Staley","Wood","Pywell"],"fullName":["Broughton, R.K.","Burkmar, R.","McCracken, M.","Mitschunas, N.","Norton, L.R.","Pallett, D.W.","Patton, J.","Redhead, J.W.","Staley, J.T.","Wood, C.M.","Pywell, R.F.","Broughton, R."],"funder":["Natural Environment Research Council"],"givenName":["R.K.","R.","M.","N.","L.R.","D.W.","J.","J.W.","J.T.","C.M.","R.F.","Richard"],"grant":["NE/N018125/1","NE/W005050/1"],"identifier":"d90a3733-2949-4dfa-8ac2-a88aef8699be","incomingCitationCount":1,"keyword":["England","Land cover","tree lines","non-woodland trees","woody linear features","field boundaries","JASMIN","lidar","hedge","tree","shrub","LCM+"],"keywordsOther":["tree lines","non-woodland trees","woody linear features","field boundaries","JASMIN","lidar","hedge","tree","shrub","LCM+"],"keywordsPlace":["England"],"keywordsTheme":["Land cover"],"licence":"Non-Open government licence","lineage":"This model was produced by collating Environment Agency airborne lidar data, Land Cover Map (LCM) linear data, and Ordnance Survey (OS) data. The lidar data were filtered and pixels were removed based on their attributes and coincidence with OS data (masking). Vectorized output was used to classify a linear framework of the LCM, creating a classified polyline model of linear features. \n\nThe model was validated by ‘ground-truthing’ against 38 test squares of 1 km^2 each, which were surveyed on the ground by trained fieldworkers in 2022 using Countryside Survey methods. The results showed good agreement between the lidar model and the ground-truthing, allowing for a spatial buffer tolerance around features to account for the different linear frameworks they were based upon. At the summary scale across all test squares, the total woody feature lengths showed a 96% agreement. At the scale of individual test squares, there was an average 76% agreement of woody feature lengths within a 20 m buffer tolerance. Height classifications of the model showed an exact agreement for 32% of the total feature length, and 63% agreement within a tolerance of one class above or below.","locations":["POLYGON((-6.452 49.864, -6.452 55.812, 1.768 55.812, 1.768 49.864, -6.452 49.864))"],"metadataDate":"2026-07-25T14:22:18.000Z","orcid":["https://orcid.org/0000-0002-6838-9628","https://orcid.org/0000-0002-8298-8838","https://orcid.org/0000-0002-1622-0281","https://orcid.org/0000-0002-3981-6547","https://orcid.org/0009-0002-2534-8938","https://orcid.org/0000-0002-2233-3848","https://orcid.org/0000-0001-6467-3712","https://orcid.org/0000-0002-0394-2998","https://orcid.org/0000-0001-6431-9959"],"organisation":["UK Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2024-01-16T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/d90a3733-2949-4dfa-8ac2-a88aef8699be","10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be","doi:10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset contains a model of the extent and height class of woody linear features on field boundaries in England, including hedgerows, tree lines and semi-natural thickets of shrubs and trees. The model was derived from processing of the Environment Agency lidar…","state":"published","title":"UKCEH Land Cover Plus: Hedgerows 2016-2021 (England)","topic":["0/Land cover/"],"version":1.0,"view":["public","jenroe"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2007. LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2007 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Morton"],"fullName":["Morton, D."],"givenName":["D."],"identifier":"b4fb2b30-22d7-11e4-8c21-0800200c9a66","incomingCitationCount":0,"keyword":["Northern Ireland","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"LCM2007 uses a spatial framework based on OSNI Vector Map. Vector Map was generalised to remove unnecessary detail, then the framework was segmented according to the underlying satellite data to split areas of non-uniform landscape. The data was classified according to a parcel-based supervised maximum likelihood classification procedure. The raster products are derived from the vector products. ","locations":["POLYGON((-8.21 53.68, -8.21 55.77, -5.26 55.77, -5.26 53.68, -8.21 53.68))"],"metadataDate":"2026-07-25T12:55:06.000Z","organisation":["Parr Section","Centre for Ecology & Hydrology","NERC EDS Environmental Information Data Centre"],"publicationDate":"2014-07-23T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b4fb2b30-22d7-11e4-8c21-0800200c9a66"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This view shows a 1km resolution raster version of the Land Cover Map 2007 for Northern Ireland. Each 1km pixel represents the dominant aggregate class across the 1km area. The aggregate classes are aggregations of the target classes, broadly representing Broad Habitats…","state":"published","title":"Land Cover Map 2007 v1.2 (1km dominant aggregate class, N. 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This dataset was derived by rasterising the corresponding LCM2019 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"2f711e25-8043-4a12-ab66-a52d4e649532","incomingCitationCount":1,"keyword":["UK-SCAPE","Land cover","Mapping"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-24T19:35:11.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-24T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/2f711e25-8043-4a12-ab66-a52d4e649532","10.5285/2f711e25-8043-4a12-ab66-a52d4e649532","doi:10.5285/2f711e25-8043-4a12-ab66-a52d4e649532"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2019(LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2019 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","tinzha"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion.  It is provided as a 2-band, 8-bit integer raster.  The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a","incomingCitationCount":2,"keyword":["UK-SCAPE","Land cover","Mapping"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:54:42.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a","10.5285/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a","doi:10.5285/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset…","state":"published","title":"Land Cover Map 2018 (20m classified pixels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clwe"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion.  It is provided as a two-band, 8-bit integer raster.  Band 1 is the UKCEH Land Cover Class identifier, band 2 is an indicator of classification confidence.  For a fuller description please refer to the product documentation.  \n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are one in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"643eb5a9-9707-4fbb-ae76-e8e53271d1a0","incomingCitationCount":2,"keyword":["UK-SCAPE","Land cover","Mapping","land cover"],"keywordsOther":["land cover"],"keywordsProject":["UK-SCAPE"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). \n\nOverlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T06:44:29.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-19T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/643eb5a9-9707-4fbb-ae76-e8e53271d1a0","10.5285/643eb5a9-9707-4fbb-ae76-e8e53271d1a0","doi:10.5285/643eb5a9-9707-4fbb-ae76-e8e53271d1a0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Great Britain. It describes Great Britain's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset…","state":"published","title":"Land Cover Map 2019 (20m classified pixels, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","rbrou"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["SQLite"],"description":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived from the corresponding LCM2019 20m classified pixels dataset.  All further LCM2019 datasets for Northern Ireland are derived from this land parcel product.  A range of land parcel attributes are provided.  These include the dominant UKCEH Land Cover Class given as an integer value and a range of per-parcel pixel statistics to help assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation.\n\nLCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"6e67cba0-c872-4146-bc09-d6c98731f3b3","incomingCitationCount":1,"keyword":["Northern Ireland","Land cover","Mapping","Vector","LCM2019","UK-SCAPE"],"keywordsOther":["Vector","LCM2019","UK-SCAPE"],"keywordsPlace":["Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"The Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived from the corresponding 20m Classified Pixels datasets. They give per-parcel land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. A UK spatial framework of land parcels (vector-polygons) representing real-world objects (for example: fields, lakes, urban areas and so forth) was intersected with the 20m Classified Pixels to generate per-parcel pixel statistics. These include a histogram recording pixel frequency per land cover class, the modal land cover class, the total number of pixels and three attribute indicators of classification confidence. Land parcel classification results were validated against independently collected ground observations. All calculations were performed within a PosGIS database. Results were extracted from PostGIS using the QGIS export facility to give the final product as a SpatiaLite vector geodatabse. SpatiaLite is an open standard file format for geospatial vector databases and SpatiLite files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T06:49:24.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-23T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/6e67cba0-c872-4146-bc09-d6c98731f3b3","10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3","doi:10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2019 (land parcels, N. Ireland)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","shar1"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.  This dataset was derived by rasterising the corresponding LCM2017 land parcels dataset into 25m pixels.  It is provided as a 3-band, 8-bit integer raster.  The first band is the UKCEH Land Cover Class identifier.  Bands 2 and 3 are indicators  of classification confidence.  For a fuller description please refer to the product documentation.\n\nLCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"8b37b063-b5fe-42cc-ab2d-bf96626da036","incomingCitationCount":0,"keyword":["Land cover","Land use","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The 25m Rasterised Land Parcels datasets of the LCM2017, LCM2018 and LCM2019 product range were derived by rasterising the corresponding Land Parcels datasets. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They are provided as 3-band 8-bit integer 25m pixel rasters. Band-1 is the modal land cover from the Land Parcels dataset, band-2 and band-3 are indicators of classification confidence. The Land Parcels datasets are maintained in a PostGIS database. Gdal tools were used to rasterise the land parcels, giving the 25m Rasterised Landparcels dataset in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T08:41:27.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/8b37b063-b5fe-42cc-ab2d-bf96626da036","10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036","doi:10.5285/8b37b063-b5fe-42cc-ab2d-bf96626da036"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 25m rasterised land parcels dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats.…","state":"published","title":"Land Cover Map 2017 (25m rasterised land parcels, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","jgar"]},{"authorAffiliation":["Centre for Ecology & Hydrology"],"authorFamilyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard"],"authorFullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F."],"authorGivenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F."],"authorOrcid":["https://orcid.org/0000-0001-5916-5174"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["Shapefile"],"description":"This dataset consists of the vector version of the Land Cover Map 2000 for Great Britain, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000 target or ('sub') classes. This is the most widely used version of the dataset. Level 3 gives higher class detail. However, the quality of this level of detail may vary in different areas of the country, requiring expert interpretation. The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990. Like the earlier 1990 products, LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions.","documentType":"GEMINI_DOCUMENT","familyName":["Fuller","Smith","Sanderson","Hill","Thomson","Cox","Brown","Clarke","Rothery","Gerard","Morton"],"fullName":["Fuller, R.M.","Smith, G.M.","Sanderson, J.M.","Hill, R.A.","Thomson, A.G.","Cox, R.","Brown, N.J.","Clarke, R.T.","Rothery, P.","Gerard, F.F.","Morton, D."],"givenName":["R.M.","G.M.","J.M.","R.A.","A.G.","R.","N.J.","R.T.","P.","F.F.","Dan"],"identifier":"b79e887e-a2a7-4224-8fd7-e78066b950b3","incomingCitationCount":1,"keyword":["Great Britain","Land cover","Mapping","Habitats","land cover"],"keywordsOther":["Habitats","land cover"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"In a major development of earlier methods, LCM2000 used image segmentation to identify land parcels in the pixel-based images. An automated procedure grouped the image pixels into spectrally 'uniform' segments. These were built around 'seedpoints' selected to avoid parcel boundaries. The segmentation recorded a field-by-field pattern, also separating land use zones within urban and suburban areas, and subdividing mosaics of semi-natural vegetation. Generalisation gave minimum mappable units of a half hectare. A 'vector' version was then created in the geographical information system (GIS), where the boundaries between the pixel-based segments were represented by digital linework. The resultant land parcels were treated as GIS objects to which attribute data could then be attached covering such topics as land cover class, parcel area, length of boundary, processing history, knowledge-based correction and identification of the original satellite scene. The raster products have been derived from the vector dataset. LCM2000 was produced at CEH Monks Wood. For further information on the methodology developed and used to create Land Cover Map 2000, see on-line supporting documentation.","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-25T12:56:42.000Z","orcid":["https://orcid.org/0000-0001-5916-5174"],"organisation":["Natural Environment Research Council","Centre for Ecology & Hydrology","UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2002-01-01T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["1287415406672","CEH:EIDC::1287415406672","https://catalogue.ceh.ac.uk/id/b79e887e-a2a7-4224-8fd7-e78066b950b3","10.5285/b79e887e-a2a7-4224-8fd7-e78066b950b3","doi:10.5285/b79e887e-a2a7-4224-8fd7-e78066b950b3"],"resourceType":"Dataset","ror":["https://ror.org/02b5d8509","https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the vector version of the Land Cover Map 2000 for Great Britain, containing individual parcels of land cover (the highest available resolution). Level 2 & Level 3 attributes are available. Level 2, the standard level of detail, provides 26 LCM2000…","state":"published","supplementalDescription":["Fuller, R.M., Smith, G.M., Sanderson, J.M., Hill, R.A., & Thomson, A.G. (2002). The UK Land Cover Map 2000: construction of a parcel-based vector map from satellite images. Cartographic Journal, 39. 15-25."],"title":"Land Cover Map 2000 (vector, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Rowland","Marston","Morton","O'Neil"],"authorFullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W."],"authorGivenName":["C.S.","C.G.","R.D.","A.W."],"authorOrcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Available","catalogue":"eidc","dataFormat":["TIFF"],"description":"This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes. The product consists of five bands:  \n Band 1 – a raster version of LCM1990 in the six simplified classes;\n Band 2 – a raster version of LCM2015 in the six simplified classes;\n Band 3 – a binary layer, where 0 means no change between 1990 and 2015 and 1 means change between 1990 and 2015;\n Band 4 – shows the 'change from' class;\n Band 5 – provides the 'change to' class. \n\nFull details of the Land Cover Change data set are provided in the Land Cover Change data set documentation, which users should consult.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.","documentType":"GEMINI_DOCUMENT","familyName":["Rowland","Marston","Morton","O'Neil"],"fullName":["Rowland, C.S.","Marston, C.G.","Morton, R.D.","O'Neil, A.W.","Rowland, C."],"funder":["Natural Environment Research Council"],"givenName":["C.S.","C.G.","R.D.","A.W.","Clare"],"grant":["NE/R016429/1"],"identifier":"07b6e5e9-b766-48e5-a28c-5b3e35abecc0","incomingCitationCount":7,"keyword":["Great Britain","Land cover","Mapping","UK-SCAPE"],"keywordsOther":["UK-SCAPE"],"keywordsPlace":["Great Britain"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","lineage":"Bands 1 and 2 are derived from the 25m raster versions of the Land Cover Maps for 1990 and 2015 respectively. The LCM data for 1990 and 2015 was cast from the original 21 classes into 6 simplified classes (see dataset documentation for details). \n\nBand 3 (the binary change/no-change layer) maps differences between the simplified classes in 1990 and 2015. Band 3 and Band 1 are then used to create Band 4, the ‘change from' layer, which gives the 1990 class for change. Band 5, the ‘change to' layer,  is calculated from Bands 3 and 2 and provides the 2015 ‘change to' class.\n\nFor further details about LCM1990 and LCM2015 are given in the dataset documents for those products.\n","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T18:56:50.000Z","orcid":["https://orcid.org/0000-0002-0459-506X","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0003-3591-1034"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-26T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/07b6e5e9-b766-48e5-a28c-5b3e35abecc0","10.5285/07b6e5e9-b766-48e5-a28c-5b3e35abecc0","doi:10.5285/07b6e5e9-b766-48e5-a28c-5b3e35abecc0"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This dataset consists of the 25m raster, Land Cover Change 1990 -2015 product for Great Britain. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes.…","state":"published","title":"Land Cover Change 1990-2015 (25m raster, GB)","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","clamw"]},{"authorAffiliation":["UK Centre for Ecology & Hydrology"],"authorFamilyName":["Morton","Marston","O'Neil","Rowland"],"authorFullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S."],"authorGivenName":["R.D.","C.G.","A.W.","C.S."],"authorOrcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"authorRor":["https://ror.org/00pggkr55"],"availability":"Controlled","catalogue":"eidc","dataFormat":["TIFF"],"description":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion.  It is provided as a 2-band, 8-bit integer raster.  The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence.  For a fuller description please refer to the product documentation.  \n\nLCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018.  These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019.  These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Northern Ireland (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015.\n\nThis work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.\n\n","documentType":"GEMINI_DOCUMENT","familyName":["Morton","Marston","O'Neil","Rowland"],"fullName":["Morton, R.D.","Marston, C.G.","O'Neil, A.W.","Rowland, C.S.","Morton, D."],"funder":["Natural Environment Research Council"],"givenName":["R.D.","C.G.","A.W.","C.S.","Dan"],"grant":["NE/R016429/1"],"identifier":"cf5050d8-495d-45a6-9e2e-bba5239284c2","incomingCitationCount":1,"keyword":["Land cover","Land use","LCM2018","UK-SCAPE"],"keywordsOther":["LCM2018","UK-SCAPE"],"keywordsTheme":["Land cover","Land use"],"licence":"Non-Open government licence","lineage":"The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.","locations":["POLYGON((-8.178 54.022, -8.178 55.313, -5.432 55.313, -5.432 54.022, -8.178 54.022))"],"metadataDate":"2026-07-25T14:07:08.000Z","orcid":["https://orcid.org/0000-0003-3947-6463","https://orcid.org/0000-0002-2070-2187","https://orcid.org/0000-0003-3591-1034","https://orcid.org/0000-0002-0459-506X"],"organisation":["UK Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2020-06-22T00:00:00.000Z","recordType":"Dataset","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/cf5050d8-495d-45a6-9e2e-bba5239284c2","10.5285/cf5050d8-495d-45a6-9e2e-bba5239284c2","doi:10.5285/cf5050d8-495d-45a6-9e2e-bba5239284c2"],"resourceType":"Dataset","rightsHolder":["UK Centre for Ecology & Hydrology"],"ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This…","state":"published","title":"Land Cover Map 2018 (20m classified pixels, N. Ireland)","topic":["0/Land cover/","0/Land use/"],"version":1.0,"view":["public","nuri"]},{"availability":"Unknown","catalogue":"eidc","dataFormat":["JPEG","PNG","TIFF"],"description":"This web map service (WMS) is the 1km raster, dominant target class version of the Land Cover Map 2015 (LCM2015) for Great Britain and Northern Ireland.  It shows the target habitat class with the highest percentage cover in each 1km x 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. ","documentType":"GEMINI_DOCUMENT","familyName":["Rowland"],"fullName":["Rowland, C."],"givenName":["C."],"identifier":"184a89d2-04d1-4955-9b45-5e90a862acda","incomingCitationCount":0,"keyword":["Great Britain","Northern Ireland","Land cover","Mapping","infoMapAccessService"],"keywordsOther":["infoMapAccessService"],"keywordsPlace":["Great Britain","Northern Ireland"],"keywordsTheme":["Land cover","Mapping"],"licence":"Non-Open government licence","locations":["POLYGON((-8.648 49.864, -8.648 60.861, 1.768 60.861, 1.768 49.864, -8.648 49.864))"],"metadataDate":"2026-07-24T19:12:49.000Z","organisation":["Centre for Ecology & Hydrology","NERC Environmental Information Data Centre","NERC EDS Environmental Information Data Centre"],"publicationDate":"2017-04-25T00:00:00.000Z","recordType":"Map (web service)","resourceIdentifier":["https://catalogue.ceh.ac.uk/id/184a89d2-04d1-4955-9b45-5e90a862acda"],"resourceType":"Service","ror":["https://ror.org/00pggkr55","https://ror.org/04xw4m193"],"shortenedDescription":"This web map service (WMS) is the 1km raster, dominant target class version of the Land Cover Map 2015 (LCM2015) for Great Britain and Northern Ireland.  It shows the target habitat class with the highest percentage cover in each 1km x 1km pixel. The 21 target classes…","state":"published","title":"Land Cover Map 2015 (1km dominant target class) Web Map Service","topic":["0/Land cover/","0/Mapping/"],"version":1.0,"view":["public","phtr"]}],"rows":20,"url":"http://catalogue.ceh.ac.uk:443/eidc/documents?facet=topic%7C0/Land%20cover/"}