UKCEH Land Cover Plus: Hedgerows 2016-2021 (England)
                    This dataset contains a model of the extent  and height class of woody linear  features on field boundaries in England, including hedgerows,  tree lines and semi-natural thickets of shrubs and trees. The  model was derived from processing of the Environment Agency lidar product (National Lidar Programme),  captured in 2016-2021,  and the linework is consistent  with the polygon boundaries used in the UK Centre for Ecology & Hydrology (UKCEH) Land Cover Map (LCM). Due to expected low densities of woody linear features, and potential uncertainty, areas excluded from the coverage  include LCM classes of mountain/moor/heath, open water  and the coastal zone, urban/suburban  areas and woodlands  (i.e., areas of continuous  non-linear woody cover). An area of approximately 24 x 25 km on the  North  Yorkshire Moors was also excluded  from the model, as this  area was not mapped by the  EA  lidar. Full details about this dataset can be found at
                    https://doi.org/10.5285/d90a3733-2949-4dfa-8ac2-a88aef8699be
                  
                  
                  Simple
- Date (Publication)
- 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
- 
                            - Land Cover
 
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- Controlled
- Use constraints
- otherRestrictions Other restrictions
- 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 restrictions
- 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 Vector
- Distance
- 1 urn:ogc:def:uom:EPSG::9001
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
- 
                            - Environment
- Biota
 
- Begin date
- 2016-01-01
- End date
- 2021-12-31
                            
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                        - Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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                                  Shapefile
                                
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                                  Shapefile
                                
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- OnLine resource
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                                Download the data
                              
                            
                            Download a copy of this data 
- OnLine resource
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                                Supporting information
                              
                            
                            Supporting information available to assist in re-use of this dataset 
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 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.
- File identifier
- d90a3733-2949-4dfa-8ac2-a88aef8699be XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-04-28T12:18:48
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
                          
                            
                            Point of contact
                          
                          
                             
                            
                              NERC EDS Environmental Information Data Centre
                              
                            
                            
                            
                         
                      
                              
                                
                              
                              
                                
                                Lancaster Environment Centre,  Library Avenue, Bailrigg
                              
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                                Lancaster
                              
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                                LA1 4AP
                              
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                                UK
                              
                            
                            
                              
                            
                            https://eidc.ac.uk/
                          
                        Overviews
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                Associated resources
Not available
                 NERC Data Catalogue Service
                  NERC Data Catalogue Service