BGS Hosted Metadata
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. Full details about this dataset can be found at https://doi.org/10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
Simple
- Date (Publication)
- 2022-11-15
- Citation identifier
- https://catalogue.ceh.ac.uk/id/ac7071cb-79a3-400d-9f17-13dc4a657083
- Citation identifier
- doi: / 10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
- Other citation details
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Smyth, T.A.G., Wilson, R. (2022). Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020. NERC EDS Environmental Information Data Centre 10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
- Point of contact
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Organisation name Individual name Electronic mail address Role University of Huddersfield
Smyth, T. Point of contact University of Huddersfield
Smyth, T.A.G. Author University of Huddersfield
Wilson, R. Author NERC EDS Environmental Information Data Centre Publisher University of Huddersfield
Owner NERC EDS Environmental Information Data Centre Custodian
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GEMET - INSPIRE themes, version 1.0
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Land Cover
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GEMET - Concepts, version 4.1.3
- Keywords
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Coastal Dunes
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Remote Sensing
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Image Classification
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- Access constraints
- Other restrictions
- Other constraints
- Registration is required to access this data
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: 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
- Spatial representation type
- Grid
- Distance
- 0.01 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Imagery base maps earth cover
- Begin date
- 2020-02-01
- End date
- 2020-02-28
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- Unique resource identifier
- WGS 84
- Distribution format
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Name Version TIFF
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/data/ac7071cb-79a3-400d-9f17-13dc4a657083 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/ac7071cb-79a3-400d-9f17-13dc4a657083.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
- Date (Publication)
- 2010-12-08
- Statement
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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.
Metadata
- File identifier
- ac7071cb-79a3-400d-9f17-13dc4a657083 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-11-13T16:22:29
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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