Land Cover Map 2015 (vector, GB)
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2017-04-12
- Dataset Reference Date ()
- 2017-03-01
- Identifier
- doi: / 10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73
- Other citation details
- Rowland, C.S., Morton, R.D., Carrasco, L., McShane, G., O'Neil, A.W., Wood, C.M. (2017). Land Cover Map 2015 (vector, GB). NERC Environmental Information Data Centre 10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73
- Maintenance and update frequency
- notPlanned
- GEMET - INSPIRE themes, version 1.0 ()
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- Land Cover
- GEMET - Concepts, version 4.1.3
- Keywords
- 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 CEH Data Licensing team will contact you to negotiate a licence.
- Use constraints
- otherRestrictions
- Other constraints
- If you reuse this data, you should cite: Rowland, C.S., Morton, R.D., Carrasco, L., McShane, G., O'Neil, A.W., Wood, C.M. (2017). Land Cover Map 2015 (vector, GB). NERC Environmental Information Data Centre https://doi.org/10.5285/6c6c9203-7333-4d96-88ab-78925e7a4e73
- Spatial representation type
- vector
- Distance
- 10 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Environment
- Imagery base maps earth cover
- Begin date
- 2014-01-01
- End date
- 2015-12-01
Distribution Information
- Data format
-
-
ESRI file geodatabase format
()
-
ESRI file geodatabase format
()
- Resource Locator
-
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Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
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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
- For LCM2015, per-pixel classifications were conducted, using a random forest classification algorithm to classify the different land cover types. The resultant classifications were then mosaicked together, with the best classifications taking priority. This produced a per-pixel classification of the UK, which was then imported into the spatial framework, recording a number of attributes, including the majority class per polygon which is the Land Cover class for each polygon. The 25m raster classification product is the majority class per polygon i.e. the dominant class for each polygon. LCM2015 uses a spatial framework that is similar to the LCM2007 framework. For both LCM2007 and LCM2015 the framework is based on generalised OS MasterMap (R). The generalisation (or simplification) process was used to remove very small objects, which provided unnecessary detail. In LCM2007 larger polygons were split using image segmentation; however this was not done for LCM2015.
Metadata
- File identifier
- 6c6c9203-7333-4d96-88ab-78925e7a4e73 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
- 2023-11-10T09:59:28
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3