Date (Publication)

2025-09-24

Identifier

https://catalogue.ceh.ac.uk/id/03940756-afe9-428b-8c69-275e6b889251

Identifier

doi: / 10.5285/03940756-afe9-428b-8c69-275e6b889251

Other citation details

Ridding, L.E., Wickenden, A.R., Orsler, Z., Rowland, C.S., Hampton, J.M., Mitchell, B., Edwardes, A., Mullin, K., Haughton, G., Thurston, N., Pola, I., Sinclair, G., Sinclair, M.R., Shaw, J., Pywell, R.F. (2025). Vector maps of the 1960 Second Land Utilisation Survey in England and Wales, from 110 published maps. NERC EDS Environmental Information Data Centre 10.5285/03940756-afe9-428b-8c69-275e6b889251

GEMET - INSPIRE themes, version 1.0

• Land Use
• Land Cover

Access constraints

otherRestrictions Other restrictions

Other constraints

Embargoed

Use constraints

otherRestrictions Other restrictions

Other constraints

This resource is available under the terms of the Open Government Licence

Use constraints

otherRestrictions Other restrictions

Other constraints

If you reuse this data, you should cite: Ridding, L.E., Wickenden, A.R., Orsler, Z., Rowland, C.S., Hampton, J.M., Mitchell, B., Edwardes, A., Mullin, K., Haughton, G., Thurston, N., Pola, I., Sinclair, G., Sinclair, M.R., Shaw, J., Pywell, R.F. (2025). Vector maps of the 1960 Second Land Utilisation Survey in England and Wales, from 110 published maps. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/03940756-afe9-428b-8c69-275e6b889251

Spatial representation type

vector Vector

Distance

10  urn:ogc:def:uom:EPSG::9001

Metadata language

EnglishEnglish

Character set

utf8 UTF8

Topic category

• Environment

Begin date

1960-01-01

End date

1960-12-31

Unique resource identifier

OSGB 1936 / British National Grid

Distribution format

• Shapefile ()

Hierarchy level

dataset Dataset

Other

dataset

Statement

All 110 published Second Land Utilisation Survey (2LUS) maps were digitised using a semi-automated supervised classification method. Firstly, maps were scanned and saved as Tiff images at 300 dots per inch at a colour depth of 8 bits per channel (24-bit depth). These were georeferenced in ArcGIS v10.7 using the Ordnance Survey (OS) 1km National Grid. For the classification, georeferenced 3-band images were converted to 16-bit single band images (256 colours). A manual look-up table was created for each map image identifying the dominant unique pixel values of the different land use classes. Any “noise” present on the images including text, contour lines and symbols were assigned a single blank value of 0. Similarly, pixel values which were common to multiple land use classes, such as the white colour were also assigned to 0. For these reasons it was not possible to classify either the “unvegetated land” or the “derelict land” land use categories. The model reclassified the 256 colours within a range of 0 to 10, representing the 10 land use categories and the noise category (pixel value = 0), with the latter being removed and replaced. Classified images were vectorised and manually cleaned using eliminate functions in ArcGIS. All “unvegetated land” was manually digitised as this could not be classified, along with a new category for “coastal” areas which were not classified. Railway lines, roads and very small rivers were inconsistently classified and were therefore removed, while “industry” and “transport” classes were grouped with “settlement” to ensure uniformity. “Derelict land” could not be classified but was often mapped in the classification as “settlement”, so this was later grouped with this category. Woodland was manually split into broadleaved and coniferous using the woodland symbology provided on the OS background, this usually aligned with the manual over-printed symbols but the latter was not present for all woodlands, thus the OS backdrop was used. The date of each OS basemap varied, however these were largely published or reprinted in the 1960s and were largely consistent with the surveyed land cover data, though there were exceptions e.g. Bristol East. To validate the classified 2LUS maps, 3,000 random points were generated across the digitised maps. For each point, a manual assessment was undertaken assigning the most representative land cover class to the point based on the raw georeferenced 3-band images. A confusion matrix between the manually assigned points and the classified 2LUS maps revealed an overall accuracy of 95.8%. Please see supporting documentation for more information.

File identifier

03940756-afe9-428b-8c69-275e6b889251 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

2025-10-16T10:53:41

Metadata standard name

UK GEMINI

Metadata standard version

2.3