Morton, R.D.; Marston, C.G.; O’Neil, A.W.; Rowland, C.S.
Land Cover Map 2020 (10m classified pixels, GB)
Cite this dataset as:
Morton, R.D.; Marston, C.G.; O’Neil, A.W.; Rowland, C.S. (2021). Land Cover Map 2020 (10m classified pixels, GB). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7
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https://doi.org/10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7
This is a 10-metre pixel data set representing the land surface, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats.
The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (0 to 100). Low values correspond to low certainty (higher uncertainty).
This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019.
A full description of this and all UKCEH LCM2020 products are available from the product documentation accompanying this data.
The pixel product is given as a two-band raster in geoTiff format. The first band gives the most likely land cover type; the second band gives the probability associated with this land cover. The probability layer is an indicator of uncertainty (0 to 100). Low values correspond to low certainty (higher uncertainty).
This is the first 10m resolution land cover map produced by UKCEH. It succeeds 20m resolution classified pixel products from 2017, 2018 and 2019.
A full description of this and all UKCEH LCM2020 products are available from the product documentation accompanying this data.
Publication date: 2021-10-08
View numbers valid from 01 June 2023 Download numbers valid from 11 November 2021 (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
2020-01-01 to 2020-12-31
Provenance & quality
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.
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.
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.
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.
Licensing and constraints
Licence terms and conditions apply
Cite this dataset as:
Morton, R.D.; Marston, C.G.; O’Neil, A.W.; Rowland, C.S. (2021). Land Cover Map 2020 (10m classified pixels, GB). NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/35c7d0e5-1121-4381-9940-75f7673c98f7
Related
Services associated with this dataset
This dataset is included in the following collections
Citations
Hooftman, D.A.P., Ridding, L.E., Redhead, J.W., & Willcock, S. (2023). National scale mapping of supply and demand for recreational ecosystem services. In Ecological Indicators (Vol. 154, p. 110779). Elsevier BV. https://doi.org/10.1016/j.ecolind.2023.110779
Hellsten S., Ban Y., Georganos S., Ihrfors J., Kronnäs V., Hafner S. & Zhang P. (2022). Användningen av satellitdata för att utveckla miljöövervakningen i Sverige: En syntes. Naturvårdsverket. http://naturvardsverket.diva-portal.org/smash/get/diva2:1717304/FULLTEXT01.pdf
Correspondence/contact details
Dr. Dan Morton
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