Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020
Cite this dataset as:
Smyth, T.A.G.; Wilson, R. (2022). Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
Download/Access
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This dataset is available under the terms of the Open Government Licence 
https://doi.org/10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
The data contains Aerial imagery of Ynyslas Dunes, Wales saved in a GeoTiff format. The imagery covers 8000 m2 of a discrete coastal sand dune at northern distal end of a spit in Dyfi National Nature Reserve. Data was collected during a six-minute flight on 5th February 2020 made by a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location surveyed using a differential global positioning system (DGPS).
Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms. The data was collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery. Data was collected and processed by Dr Ryan Wilson (University of Huddersfield) and interpreted by Dr Thomas Smyth (University of Huddersfield).
The work was supported by the Natural Environment Research Council NE/T00410X/1.
Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms. The data was collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery. Data was collected and processed by Dr Ryan Wilson (University of Huddersfield) and interpreted by Dr Thomas Smyth (University of Huddersfield).
The work was supported by the Natural Environment Research Council NE/T00410X/1.
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
TIFF
Spatial information
Study area
Spatial representation type
Raster
Spatial reference system
WGS 84
Temporal information
Temporal extent
2020-02-01 to 2020-02-28
Provenance & quality
The data was originally collected to test the accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery.
Collection method: RGB aerial imagery was collected using a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location was surveyed using a Trimble R8 differential global positioning system (DGPS). Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms
Nature and Units of recorded values: Pixel values for Red, Green, and Blue at 0.01 m resolution.
Quality Control: Pix4Dmapper was used to manually identify the surveyed GCPs within the aerial imagery. By comparing the absolute coordinates of the GCPs surveyed with those for the same location within the resulting orthomosaic, a root mean square error of 0.003 m was calculated in the X, Y and Z directions, respectively, indicating a high degree of relative accuracy.
Collection method: RGB aerial imagery was collected using a DJI Mavic Pro 2 uncrewed aerial vehicle (UAV). The flight was planned with Pix4DCapture based on a ground pixel resolution of 0.01 m. Lateral and longitudinal overlap was set to 80%. Prior to flying, eight (5.8 per 100 photos) Ground Control Points (GCPs) were evenly distributed throughout the dune and their location was surveyed using a Trimble R8 differential global positioning system (DGPS). Orthorectification and mosaicking of the aerial imagery collected was performed using Pix4Dmapper utilising a fully automated workflow based on Structure-from-Motion (SFM) digital photogrammetry algorithms
Nature and Units of recorded values: Pixel values for Red, Green, and Blue at 0.01 m resolution.
Quality Control: Pix4Dmapper was used to manually identify the surveyed GCPs within the aerial imagery. By comparing the absolute coordinates of the GCPs surveyed with those for the same location within the resulting orthomosaic, a root mean square error of 0.003 m was calculated in the X, Y and Z directions, respectively, indicating a high degree of relative accuracy.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Smyth, T.A.G.; Wilson, R. (2022). Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
Citations
Smyth, T.A.G., Wilson, R., Rooney, P., & Yates, K.L. (2022). Extent, accuracy and repeatability of bare sand and vegetation cover in dunes mapped from aerial imagery is highly variable. In Aeolian Research (Vol. 56, p. 100799). Elsevier BV. https://doi.org/10.1016/j.aeolia.2022.100799
Correspondence/contact details
Authors
https://orcid.org/0000-0002-1740-762X 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
Additional metadata
Funding
Natural Environment Research Council Award: NE/T00410X/1
Last updated
05 March 2024 09:24