Protecting our most precious resource


With 30 different land use classes from agriculture, business parks, farms and urban centres, UKLand provides a consistent and valuable insight into land usage across the UK.



Already in use with land consultants to identify potential development land, eco companies to model wind farm developments and utility companies to map drainage, this database is proving an essential resource for planning and managing assets in the UK.


"The land use data has been extremely helpful with our current development portfolio"


GIS Manager, Bord Gais Energy

UKLand Coverage




The UKLand database maps out land use and land cover parcels depending on their extent in the aerial photographs and maps.


Features as small as 50m x 50m are mapped. Features smaller than this are amalgamated into the surrounding larger feature.


There are 30 land use classes, including a range of agricultural and rural ones, e.g. wetlands, orchards, heath and moorland and deciduous woodland. There are also detailed urban classes including three which subdivide into; low, medium and high density (all are primarily residential).  Urban centres that are primarily commercial/retail/industrial are in another class.


There is also a specific class for large complex buildings like terminal train stations or sports stadiums and separate classes for business, industrial and retail parks.


The classification scheme offers something for all landscapes and regions, whether the study is urban-focused (12 urban-related classes) or rural (18 rural-related classes).


A set of transportation data, both road and rail, has been added to bring greater detail and realism to land use statistics.


Derived from OS OpenData road-widths have been calculated from actual examples using aerial photography to give realistic area statistics for transportation areas.

  • Identify new land opportunities

  • Query land around your site

  • Seek out better sites for your clients

  • Work smarter by being better informed

  • Stay in touch with changes to land development

  • Compare multiple sites

  • Present a more informed proposal

  • Communicate better






UKLand offers developers, GIS professionals, consultants and local planners the opportunity to fully evaluate the impact of their proposals without costly surveys.


The ability to model and query locations from the desk before making future investments enables a risk-proof way to start projects. Examples of applications are:


  • Wind farm planning 

  • Telecom radio network planning

  • Biomass site identification

  • Flood impact assessments

  • New housing opportunities

  • Strategic land planning

  • Corridor mapping

  • Street light planning

Technical Details


  • Coverage  GB

  • Area                                England: 130,000 sqkm

                                               Scotland: 79,000 sqkm

                                               Wales: 21,000 sqkm

                                               Total: 230,000 sqkm

  • Land use classes          30 land use classes                                      

  • Currency                        Updated annually

  • Maintenance                 Annual

  • Format                           Esri Geodatabase, MapInfo Tab, Esri GRD raster fromat

  • Total polygons             2.8 million

  • Total file volume          5.9 Gb

  • Accuracy                        1 class at 95% cl

  • Spatial accuracy           +/- 2m RMSE

  • Source data                   OS Open Data  

                                                modern high resolution aerial photography


Example output from UKLand, click image for more detail

Example UKLand

Use your cursor to pan and zoom around the Land Use Map, centred around Reading, England.  


Click on any part of the map to reveal the land use type and area of coverage.

This map has a slight transparency applied to show through the underlaying base map, Open StreetMap (not part of UKLand), provided using MapBox.

Contains OS OpenData Ordnance Survey  (c) Crown Copyright and database (2015)

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