Ferraccioli, F. et al

LiDAR based Digital Surface Model (DSM) data for South West England

Name: LiDAR based Digital Surface Model (DSM) data for South West England
Published: 2014-04-29
License: https://eidc.ceh.ac.uk/licences/OGLtellus/plain

https://doi.org/10.5285/b81071f2-85b3-4e31-8506-cabe899f989a Cite this dataset

This is a high resolution spatial dataset of Digital Surface Model (DSM) data in South West England. It is a part of outcomes from the CEH South West (SW) Project. There is also a Digital Terrain Model (DTM) dataset covering the same areas available from the SW project. Both DTM and DSM cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). An overview of the TELLUS project is available on the web at http://www.tellusgb.ac.uk/.

Publication date: 2014-04-29

Format

ASCII grid

Spatial information

Study area
Spatial representation type: Raster
Spatial reference system: OSGB 1936 / British National Grid

Temporal information

Temporal extent: 2013-07-01 to 2013-08-31

Provenance & quality

The British Antarctic Survey (BAS) acquired a new high resolution (circa 1 point/meter) and high accuracy (25 cm vertical) LiDAR dataset over Cornwall and Devon during the month of July and August 2013 for the Tellus South West project. The conversion of the raw LiDAR data into the digital terrain and surface model was carried out by the Environment Agency (contract). The spatial dataset consists of 2 cm height layers representing the terrain and surface height respectively at a spatial resolution of 1 m (grid cell) and an average height accuracy of 25 cm. The data is available as individual files representing sections of Ordnance Survey tiles in ESRI grid format (e.g. SX37ne; SX37nw; SX37se; SX37sw).

Services associated with this dataset

LiDAR based Digital Surface Model (DSM) for South West England Web Map Service (WMS)

Citations

Scholefield, P., Morton, D., Rowland, C., Henrys, P., Howard, D., & Norton, L. (2016). A model of the extent and distribution of woody linear features in rural Great Britain. Ecology and Evolution, 6(24), 8893-8902 https://doi.org/10.1002/ece3.2607

Beamish, D. (2015). Relationships between gamma-ray attenuation and soils in SW England. Geoderma, 259–260, 174–186. https://doi.org/10.1016/j.geoderma.2015.05.018

Carless, D., Luscombe, D. J., Gatis, N., Anderson, K., & Brazier, R. E. (2019). Mapping landscape-scale peatland degradation using airborne lidar and multispectral data. Landscape Ecology, 34(6), 1329–1345. https://doi.org/10.1007/s10980-019-00844-5

Mlambo, R., Woodhouse, I., Gerard, F., & Anderson, K. (2017). Structure from Motion (SfM) Photogrammetry with Drone Data: A Low Cost Method for Monitoring Greenhouse Gas Emissions from Forests in Developing Countries. Forests, 8(3), 68. https://doi.org/10.3390/f8030068

Broughton, R.K., Chetcuti, J., Burgess, M.D., Gerard, F.F., & Pywell, R.F. (2021). A regional-scale study of associations between farmland birds and linear woody networks of hedgerows and trees. In Agriculture, Ecosystems & Environment (Vol. 310, p. 107300). Elsevier BV. https://doi.org/10.1016/j.agee.2021.107300

Kadhim, I., & Abed, F. (2021). The Potential of LiDAR and UAV-Photogrammetric Data Analysis to Interpret Archaeological Sites: A Case Study of Chun Castle in South-West England. In ISPRS International Journal of Geo-Information (Vol. 10, Issue 1, p. 41). MDPI AG. https://doi.org/10.3390/ijgi10010041

Supplemental information

Tellus South West Project website

Correspondence/contact details

Dr France Gerard

UK Centre for Ecology & Hydrology

Maclean Building, Benson Lane, Crowmarsh Gifford
Wallingford
Oxfordshire
OX10 8BB
UNITED KINGDOM

enquiries@ceh.ac.uk