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Integration of ground survey and remote sensing derived data: Producing robust indicators of habitat extent and condition. Ecology and Evolution, 9(14), 8104–8112.","url":"https://doi.org/10.1002/ece3.5376"},{"description":"Holloway, P., Miller, J. A., & Gillings, S. (2016). Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections? International Journal of Geographical Information Science, 1–25. ","url":"https://doi.org/10.1080/13658816.2016.1158823"},{"description":"Croft, S., & Smith, G.C. (2019). Structuring the unstructured: estimating species-specific absence from multi-species presence data to inform pseudo-absence selection in species distribution models.","url":"https://doi.org/10.1101/656629"},{"description":"Lloyd, C.E.M., Mena-Rivera, L.A., Pemberton, J.A., Johnes, P.J., Jones, D.L., Yates, C.A., Brailsford, F.L., Glanville, H.C., McIntyre, C.A., & Evershed, R.P. (2022). Characterisation of riverine dissolved organic matter using a complementary suite of chromatographic and mass spectrometric methods. Biogeochemistry","url":"https://doi.org/10.1007/s10533-022-00913-z"}],"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/fdf8c8d3-5998-45a5-8431-7f5e6302fc32.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Land Cover","uri":"http://inspire.ec.europa.eu/theme/lc"}],"keywordsOther":[{"value":"Great Britain"},{"value":"England","uri":"http://sws.geonames.org/6269131"},{"value":"Scotland","uri":"http://sws.geonames.org/2638360"},{"value":"Wales","uri":"http://sws.geonames.org/2634895"}],"keywordsTheme":[{"value":"Land cover","uri":"http://onto.nerc.ac.uk/CEHMD/topic/11"}],"licences":[{"value":"Terms and conditions apply","code":"license","uri":"https://eidc.ac.uk/licences/lcm-raster/plain"}],"lineage":"LCM2007 uses a spatial framework based on OS MasterMap (R). MasterMap 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. Version 1.2 includes the addition of OS tiles HZ and NW. See online supporting information for further details. 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