TIFF
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. Land cover was validated by organising the pixel classification into a land parcel framework (the LCM2020 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy. Details are available from the product documentation. This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019. Prior to 2017 classified pixels are not available as part of the UKCEH LCM product suite. The classified pixels represent the core dataset from which the remaining products in the LCM2020 suite are derived. These include LCM2020 classified land parcels and the LCM2020 25m rasterised land parcels product.
https://orcid.org/0000-0003-3947-6463