Smyth, T.A.G.
Bare sand, wind speed, aspect and slope at four English and Welsh coastal sand dunes, 2014-2016
Cite this dataset as:
Smyth, T.A.G. (2022). Bare sand, wind speed, aspect and slope at four English and Welsh coastal sand dunes, 2014-2016. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85
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This dataset is available under the terms of the Open Government Licence
https://doi.org/10.5285/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85
This data contains values of bare sand area, modelled wind speed, aspect and slope at a 2.5 m spatial resolution for four UK coastal dune fields, Abberfraw (Wales), Ainsdale (England), Morfa Dyffryn (Wales), Penhale (England). Data is stored as a .csv file. Data is available for 620,756.25 m2 of dune at Abberfraw, 550,962.5 m2 of dune at Ainsdale, 1,797,756.25 m2 of dune at Morfa Dyffryn and 2,275,056.25 m2 of dune at Penhale. All values were calculated from aerial imagery and digital terrain models collected between 2014 and 2016.
For each location, areas of bare sand were mapped in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using a steady state computational fluid dynamics (CFD).
Data was collected to statistically test the relationship between bare sand and three abiotic physical factors on coastal dunes (wind speed, dune slope and dune slope aspect). Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Wind speed data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield).
For each location, areas of bare sand were mapped in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using a steady state computational fluid dynamics (CFD).
Data was collected to statistically test the relationship between bare sand and three abiotic physical factors on coastal dunes (wind speed, dune slope and dune slope aspect). Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Wind speed data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield).
Publication date: 2022-11-15
View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)
Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Provenance & quality
For each location, areas of bare sand were created in QGIS using the semi-automatic classification plugin (SCP) and the minimum distance algorithm on true-colour RGB vertical aerial images. The slope and aspect of the dune surface at each site was calculated in QGIS from digital terrain models. Wind speed at 0.4 m above the surface of the digital terrain model at each site was calculated using computational fluid dynamics (CFD).
Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield)
Vertical aerial imagery was sourced from EDINA Aerial Digimap Service and digital terrain models from EDINA LIDAR Digimap Service. Data was generated and interpreted by Dr Thomas Smyth (University of Huddersfield)
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Smyth, T.A.G. (2022). Bare sand, wind speed, aspect and slope at four English and Welsh coastal sand dunes, 2014-2016. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/972599af-0cc3-4e0e-a4dc-2fab7a6dfc85
Correspondence/contact details
Author
Other contacts
Rights holder
University of Huddersfield
Custodian
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk