Land Cover Map 2020 (land parcels, GB)
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2021-10-13
- Identifier
- doi: / 10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a
- Other citation details
- Morton, R.D., Marston, C.G., O'Neil, A.W., Rowland, C.S. (2021). Land Cover Map 2020 (land parcels, GB). NERC EDS Environmental Information Data Centre 10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a
- GEMET - INSPIRE themes, version 1.0 ()
-
- Land Cover
- Limitations on Public Access
- otherRestrictions
- Other constraints
- Controlled
- Use constraints
- otherRestrictions
- Other constraints
- Bespoke licensing conditions apply to these data. If you choose to download the data, the UKCEH Data Licensing team will contact you to negotiate a licence.
- 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. (2021). Land Cover Map 2020 (land parcels, GB). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/0e99d57e-1757-451f-ac9d-92fd1256f02a
- Spatial representation type
- vector
- Distance
- 1 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Environment
- Imagery base maps earth cover
- Begin date
- 2020-01-01
- End date
- 2020-12-31
Distribution Information
- Data format
-
-
SQLite
()
-
SQLite
()
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
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
- UKCEH’s automated land cover classification algorithms generated 10m classified pixels. For this, training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify 10m resolution composite images representing per season median surface reflectance. Seasonal composite images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce classification confusion among classes with similar spectra. Land cover was validated by organising the 10m pixel classification into a land parcel spatial framework). The classified land parcels were compared to known land cover producing a confusion matrix to determine overall and per class accuracy. Details are available from the product documentation.
Metadata
- File identifier
- 0e99d57e-1757-451f-ac9d-92fd1256f02a 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
- 2024-02-27T16:13:03
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3