Land Cover Map 2018 (20m classified pixels, GB)
Morton, Daniel; Marston, Christopher ORCID: https://orcid.org/0000-0002-2070-2187; O'Neil, Aneurin ORCID: https://orcid.org/0000-0003-3591-1034; Rowland, Clare ORCID: https://orcid.org/0000-0002-0459-506X. Land Cover Map 2018 (20m classified pixels, GB). NERC Environmental Information Data Centre 2020, https://doi.org/10.5285/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a [Output (Electronic)]
Full text not available from this repository.Abstract/Summary
This is the 20m classified pixels dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Great Britain. It describes Great Britain's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset is the Random Forest classification result from classifying a 20m pixel raster containing multi-season spectral information combined with context layers, which help to resolve spectral confusion. It is provided as a 2-band, 8-bit integer raster. The band-1 is the UKCEH Land Cover Class identifier, band-2 is an indicator of classification confidence. For a fuller description please refer to the product documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Item Type: | Output (Electronic) |
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Electronic Identifier / URL / DOI: | https://doi.org/10.5285/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a |
Date made live: | 06 Mar 2023 14:29 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/534134 |
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