Land Cover Map 2019 (20m classified pixels, GB)
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2020-06-19
- Identifier
- doi: / 10.5285/643eb5a9-9707-4fbb-ae76-e8e53271d1a0
- Other citation details
- Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2020). Land Cover Map 2019 (20m classified pixels, GB). NERC Environmental Information Data Centre 10.5285/643eb5a9-9707-4fbb-ae76-e8e53271d1a0
- GEMET - INSPIRE themes, version 1.0 ()
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- Land Cover
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Registration is required to access this data
- Use constraints
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- Licence terms and conditions apply
- Use constraints
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- Other constraints
- © UK Centre for Ecology & Hydrology
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2020). Land Cover Map 2019 (20m classified pixels, GB). NERC Environmental Information Data Centre https://doi.org/10.5285/643eb5a9-9707-4fbb-ae76-e8e53271d1a0
- Spatial representation type
- grid
- Distance
- 20 urn:ogc:def:uom:EPSG::9001
- Topic category
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- Environment
- Imagery base maps earth cover
- Begin date
- 2019-01-01
- End date
- 2019-12-31
Distribution Information
- Data format
-
-
TIFF
()
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TIFF
()
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Supporting information
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Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- The 20m Classified Pixels datasets are the most spatially detailed in LCM2017, LCM2018 and LCM2019 product range. All other datasets were derived from these. They give land cover information in 21 classes based on UK Biodiversity Action Plan broad habitats. They result from automatic Random Forest classifications of partially overlapping, rectangular classification scenes and are given as 8-bit, 2-band integer 20m pixel rasters. Band-1 is the most likely land cover class, band-2 is the classification probability associated with this class, rescaled over the interval 0 to 100. Classification scenes comprised per-season Sentinel-2 median top of atmosphere reflectance values resampled to 20m pixel resolution, derived using the Google Earth Engine, combined with regional context layers (for example: terrain, coastal proximity). Overlapping classification results were visually ranked to determine precedence. The best classifications were compiled to form seamless national products for Great Britain and Northern Ireland. Classification used bespoke software integrated with a PostGis spatial database. The 20m rasters were exported from PostGIS using open source gdal tools to give the final product in GeoTiff format. GeoTiff is open standard format for raster data and GeoTiff files can be read by most GIS software.
Metadata
- File identifier
- 643eb5a9-9707-4fbb-ae76-e8e53271d1a0 XML
- Metadata Language
- English (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2024-03-15T12:20:56
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3