UKCEH Land Cover Plus: Hedgerows 2016-2021 (England)
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Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2024-01-16
- Identifier
- doi: / 10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be
- Other citation details
- Broughton, R.K., Burkmar, R., McCracken, M., Mitschunas, N., Norton, L.R., Pallett, D.W., Patton, J., Redhead, J.W., Staley, J.T., Wood, C.M., Pywell, R.F. (2024). UKCEH Land Cover Plus: Hedgerows 2016-2021 (England). NERC EDS Environmental Information Data Centre 10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be
- GEMET - INSPIRE themes, version 1.0 ()
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- 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: Broughton, R.K., Burkmar, R., McCracken, M., Mitschunas, N., Norton, L.R., Pallett, D.W., Patton, J., Redhead, J.W., Staley, J.T., Wood, C.M., Pywell, R.F. (2024). UKCEH Land Cover Plus: Hedgerows 2016-2021 (England). NERC EDS Environmental Information Data Centre https://doi.org/10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be
- Spatial representation type
- vector
- Distance
- 1 urn:ogc:def:uom:EPSG::9001
- Topic category
-
- Environment
- Biota
- Begin date
- 2016-01-01
- End date
- 2021-12-31
Distribution Information
- Data format
-
-
GeoPackage
()
-
GeoPackage
()
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
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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
- This model was produced by collating Environment Agency airborne lidar data, Land Cover Map (LCM) linear data, and Ordnance Survey (OS) data. The lidar data were filtered and pixels were removed based on their attributes and coincidence with OS data (masking). Vectorized output was used to classify a linear framework of the LCM, creating a classified polyline model of linear features. The model was validated by ‘ground-truthing’ against 38 test squares of 1 km^2 each, which were surveyed on the ground by trained fieldworkers in 2022 using Countryside Survey methods. The results showed good agreement between the lidar model and the ground-truthing, allowing for a spatial buffer tolerance around features to account for the different linear frameworks they were based upon. At the summary scale across all test squares, the total woody feature lengths showed a 96% agreement. At the scale of individual test squares, there was an average 76% agreement of woody feature lengths within a 20 m buffer tolerance. Height classifications of the model showed an exact agreement for 32% of the total feature length, and 63% agreement within a tolerance of one class above or below.
Metadata
- File identifier
- d90a3733-2949-4dfa-8ac2-a88aef8699be 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
- 2024-03-14T15:54:02
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3