Rowland, C.S.; Morton, R.D.; Carrasco, L.; McShane, G.; O'Neil, A.W.; Wood, C.M.
        
        Land Cover Map 2015 (1km percentage target class, GB)
         https://doi.org/10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e
        
       
            Cite this dataset as: 
            
           
          Rowland, C.S.; Morton, R.D.; Carrasco, L.; McShane, G.; O'Neil, A.W.; Wood, C.M. (2017). Land Cover Map 2015 (1km percentage target class, GB). NERC Environmental Information Data Centre. https://doi.org/10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e
             
             
            
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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.
          Add to your GIS application:
         
         
          https://catalogue.ceh.ac.uk/maps/2b2f193e-907b-4cc8-8b65-82eff6aed2d0?request=getCapabilities&service=WMS&nocache=true
         
        
          This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 2015 (LCM2015) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. 
 
LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.
 
LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.
         LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs.
LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.
           Publication date: 2017-04-11
          
         View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
           
          Format
TIFF
Spatial information
          Study area
         
         
          Spatial representation type
         
         
          Raster
         
        
          Spatial reference system
         
         
          OSGB 1936 / British National Grid
         
        Temporal information
          Temporal extent
         
         2014-01-01    to    2015-12-31
          
         Provenance & quality
         The percentage target class is produced from the 25m raster (which is derived from the vector product) by: 
1. Using gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.
2. Gdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.
3. Gdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.
       1. Using gdal_calc to split the 21 target classes into 21 individual images for each class where the presence of the class in question is recorded as 100 and absence is assigned 0.
2. Gdal_warp is then applied to each of the 21 presence/absence images to resample to 1km, using the 'average' option under resample. This produces images of percentage cover for each class.
3. Gdal_merge is then used to create a single file with 21 bands, where each band provides the percentage cover for the class i.e. band 1 provides percentage cover for class 1 etc.
Licensing and constraints
         Cite this dataset as: 
         
       Rowland, C.S.; Morton, R.D.; Carrasco, L.; McShane, G.; O'Neil, A.W.; Wood, C.M. (2017). Land Cover Map 2015 (1km percentage target class, GB). NERC Environmental Information Data Centre. https://doi.org/10.5285/505d1e0c-ab60-4a60-b448-68c5bbae403e
          
          
         
        Related
Services associated with this dataset
Land Cover Map 2015 (1km percentage target class, GB) Web Map Service
Citations
Croft, S., Ward, A. I., Aegerter, J. N., & Smith, G. C. (2019). Modeling current and potential distributions of mammal species using presence‐only data: A case study on British deer. Ecology and Evolution, 9(15), 8724–8735.  https://doi.org/10.1002/ece3.5424
        
        Tso, C.-H.M., Henrys, P., Rennie, S., & Watkins, J. (2020). State Tagging for Improved Earth and Environmental Data Quality Assurance. Frontiers in Environmental Science, 8.  https://doi.org/10.3389/fenvs.2020.00046
        
        Coxon, G., Addor, N., Bloomfield, J.P., Freer, J., Fry, M., Hannaford, J., Howden, N.J.K., Lane, R., Lewis, M., Robinson, E.L., Wagener, T., & Woods, R. (2020). CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain. Earth System Science Data, 12(4), 2459–2483.  https://doi.org/10.5194/essd-12-2459-2020
        
        Tso, M., Henrys, P., Rennie, S., & Watkins, J. (2020). State tagging for improved earth and environmental data quality assurance.  https://doi.org/10.5194/egusphere-egu2020-4613
        
        Terry, J.C.D., Roy, H.E., & August, T.A. (2020). Thinking like a naturalist: Enhancing computer vision of citizen science images by harnessing contextual data. Methods in Ecology and Evolution, 11(2), 303–315.  https://doi.org/10.1111/2041-210x.13335
        
        Lane, R. A., Freer, J. E., Coxon, G., & Wagener, T. (2021). Incorporating Uncertainty Into Multiscale Parameter Regionalization to Evaluate the Performance of Nationally Consistent Parameter Fields for a Hydrological Model. In Water Resources Research (Vol. 57, Issue 10). American Geophysical Union (AGU).  https://doi.org/10.1029/2020wr028393
        
        Bloomfield, J.P., Gong, M., Marchant, B.P., Coxon, G., & Addor, N. (2021). How is Baseflow Index (BFI) impacted by water resource management practices? Hydrology and Earth System Sciences, 25(10), 5355-5379.  https://doi.org/10.5194/hess-25-5355-2021
        
        Goodwin, C.E.D., Bütikofer, L., Hatfield, J.H., Evans, P.M., Bullock, J.M., Storkey, J., Mead, A., Richter, G.M., Henrys, P.A., Pywell, R.F., & Redhead, J.W. (2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. Environmental Research Letters, 17(9), 095002.  https://doi.org/10.1088/1748-9326/ac810e
        
        Plummer, K.E., Dadam, D., Brereton, T., Dennis, E.B., Massimino, D., Risely, K., Siriwardena, G.M. & Toms, M.P. (2023) Trends in butterfly populations in <scp>UK</scp> gardens—New evidence from citizen science monitoring. Insect Conservation and Diversity 17, 345–357.  https://doi.org/10.1111/icad.12645
        
        Zheng, Y., Coxon, G., Woods, R., Li, J. & Feng, P. (2023) Controls on the Spatial and Temporal Patterns of Rainfall‐Runoff Event Characteristics—A Large Sample of Catchments Across Great Britain. Water Resources Research 59.  https://doi.org/10.1029/2022wr033226
        
       Correspondence/contact details
          Rowland, C.S.
         
         
          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
          Custodian
         
         
            NERC EDS Environmental Information Data Centre
           
  info@eidc.ac.uk
          
          Publisher
         
         
            NERC Environmental Information Data Centre
           
  info@eidc.ac.uk
           
      
 https://orcid.org/0000-0002-0459-506X
 https://orcid.org/0000-0002-0459-506X