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. (Dataset). https://doi.org/10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
Import this citation into your reference management software:
BibTeX | Reference Manager (RIS) | Endnote
This dataset is available under the terms of the Open Government Licence 
Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020
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 record as
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.
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 Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- imageryBaseMapsEarthCover
- INSPIRE theme
- Land Cover
- Keywords
- aerial photograph , Coastal Dunes , Image Classification , Remote Sensing , sand dune
- Funding
- Natural Environment Research Council Award: NE/T00410X/1
- Last updated
- 05 March 2024 09:24