Marston, C.; Rowland, C.S.; O'Neil, A.W.; Morton, R.D.
        
        Land Cover Map 2021 (land parcels, GB)
         https://doi.org/10.5285/398dd41e-3c08-47f5-811f-da990007643f
        
       
            Cite this dataset as: 
            
           Marston, C.; Rowland, C.S.; O'Neil, A.W.; Morton, R.D. (2022). Land Cover Map 2021 (land parcels, GB). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/398dd41e-3c08-47f5-811f-da990007643f
             
             
            
           Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence.
Download/Access
PLEASE NOTE:
           
           
         By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence.
Download the data
          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 with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2021 products are available from the LCM2021 product documentation accompanying this dataset. 
          
         
           Publication date: 2022-08-02
          
         View numbers valid from 01 June 2023 Download numbers valid from 02 August 2022 (information prior to this was not collected)
           
          Format
SQLite
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Vector
         
        
          Spatial reference system
         
         
          OSGB 1936 / British National Grid
         
        Temporal information
          Temporal extent
         
         2021-01-01    to    2021-12-31
          
         Provenance & quality
         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. 
 
Land 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.
       Land 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.
Licensing and constraints
Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence.
         Cite this dataset as: 
         
       Marston, C.; Rowland, C.S.; O'Neil, A.W.; Morton, R.D. (2022). Land Cover Map 2021 (land parcels, GB). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/398dd41e-3c08-47f5-811f-da990007643f
          
          
         
        Related
This dataset is included in the following collections
Citations
Cork, N.A., Fisher, R.S., Strong, N., Ferranti, E.J.S., & Quinn, A.D. (2024). A systematic review of factors influencing habitat connectivity and biodiversity along road and rail routes in temperate zones. In Frontiers in Environmental Science (Vol. 12). Frontiers Media SA.  https://doi.org/10.3389/fenvs.2024.1369072
        
        Hudson, C., Lovell, H., Pearson, A.W., Schaefer, M., & Soar, P.J. (2024). A GIS‐based approach to site vegetated buffer strips for erosion control within an agricultural catchment in southern England. In Hydrological Processes (Vol. 38, Issue 5). Wiley.  https://doi.org/10.1002/hyp.15165
        
        Visick, O.D., Adams, I., Ney, P., Marzano, F.S., & Ratnieks, F.L.W. (2024). Do nest sites limit wild honey bee colonies? Decoding swarm waggle dances to assess nest site availability. In Ecological Entomology. Wiley.   https://doi.org/10.1111/een.13361
        
        Porton, G., Wrigley, R., Scott, C.E., & Spracklen, D.V. (2024). Natural colonisation rates in a UK upland landscape under different conservation management approaches following sheep removal. In Ecological Solutions and Evidence (Vol. 5, Issue 2). Wiley.   https://doi.org/10.1002/2688-8319.12338
        
       Correspondence/contact details
          Marston, C.
         
         
          UK Centre for Ecology & Hydrology
         
         
          Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
         
  enquiries@ceh.ac.uk
        Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Authors
Other contacts
          Rights holder
         
         
           UK Centre for Ecology & Hydrology
          
         
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
           
      
 https://orcid.org/0000-0002-2070-2187
 https://orcid.org/0000-0002-2070-2187