4f4c4942-4343-5764-6473-303030303031 English Natural Resources Wales Maes y Ffynnon Bangor LL57 2DW Wales opendata@cyfoethnaturiolcymru.gov.uk 2024-10-17T08:40:44.788Z NRW 1.0 wel UK Centre for Ecology and Hydrology (UKCEH): Land Cover Map 2023 (3rd Party Data) UK Centre for Ecology and Hydrology (UKCEH): Land Cover Map 2023 (3rd Party Data) 2024-10-04 EXT_DS161309 Land Cover Map 2023 (LCM2023) is the eleventh UK land cover map produced by UKCEH (others include LCM1990, 2000, 2007, 2015, 2017, 2018, 2019, 2020, 2021, 2022). Land cover is given as 21 UKCEH Land Cover Classes based on Biodiversity Broad Habitats (BAP, see Jackson 2000). LCM2023 was created by classifying Classification Scenes comprising Sentinel-2 Seasonal Composite Images combined with a series of Context Layers designed to reduce spectral confusion. The classification process is automatic, using a technique we call Bootstrap Training, combined with a Random Forest classifier. NRW has access to the 10m classified Pixel and the 25m Pixel Rasterised Parcel Datasets Land Cover Map 2023 (LCM2023) is the eleventh UK land cover map produced by UKCEH (others include LCM1990, 2000, 2007, 2015, 2017, 2018, 2019, 2020, 2021, 2022). Land cover is given as 21 UKCEH Land Cover Classes based on Biodiversity Broad Habitats (BAP, see Jackson 2000). LCM2023 was created by classifying Classification Scenes comprising Sentinel-2 Seasonal Composite Images combined with a series of Context Layers designed to reduce spectral confusion. The classification process is automatic, using a technique we call Bootstrap Training, combined with a Random Forest classifier. NRW has access to the 10m classified Pixel and the 25m Pixel Rasterised Parcel Datasets Centre for Ecology and Hydrology (CEH) Environment Centre Wales, Deiniol Road, Bangor, Gwynedd, LL57 2UW, Wales enquiries@ceh.ac.uk http://www.ceh.ac.uk/ Land cover GEMET - INSPIRE themes, version 1.0 GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme 3rd Party Data NRW Thesaurus NRW Thesaurus 2024-06-19 geonetwork.thesaurus.local.theme.converted_nrw-keywords This dataset is wholly owned by UKCEH. NRW may provide access to this dataset on request in some circumstances. However, enquirers are advised to obtain a copy from the owner/originator directly, rather than NRW. NRW may NOT publish or disseminate it in its entirety. UKCEH. NRW does NOT grant permission to third parties to re-use or disseminate this dataset. Those seeking such permission should approach the originator directly. © UKCEH Third Party Conditional English environment imageryBaseMapsEarthCover utilitiesCommunication Wales (WLS) -5.77 -2.61 51.24 53.50 Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 This dataset has not been assessed for conformance to the referenced INSPIRE regulation. false The 10 m pixel datasets are produced from multiple classified Classification Scenes that are compiled to create a single mosaic of national cover. The Random Forest classifier derives a probability of membership for each class. The class with the highest is the most likely land cover. The first band of the 10 m pixel dataset is an integer representing the most likely UKCEH Land Cover Class. The second band is the probability that was associated with this result; this gives an indication of the confidence of the classification These are the result of rasterising the Land Parcel dataset into 25 m pixels, with the pixel origin matching the origin of the British National Grid (for Great Britain) or the Irish National Grid (for Northern Ireland). Three attributes are carried from the Land Parcel datasets, giving a 3-band raster: - Band 1 is the dominant land cover _mode - Band 2 is _conf - Band 3 _purity The 10 m pixel datasets are produced from multiple classified Classification Scenes that are compiled to create a single mosaic of national cover. The Random Forest classifier derives a probability of membership for each class. The class with the highest is the most likely land cover. The first band of the 10 m pixel dataset is an integer representing the most likely UKCEH Land Cover Class. The second band is the probability that was associated with this result; this gives an indication of the confidence of the classification These are the result of rasterising the Land Parcel dataset into 25 m pixels, with the pixel origin matching the origin of the British National Grid (for Great Britain) or the Irish National Grid (for Northern Ireland). Three attributes are carried from the Land Parcel datasets, giving a 3-band raster: - Band 1 is the dominant land cover _mode - Band 2 is _conf - Band 3 _purity