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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
Identifier
https://catalogue.ceh.ac.uk/id/ac7071cb-79a3-400d-9f17-13dc4a657083
Identifier
doi: / 10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083
Other citation details
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
  University of Huddersfield - Smyth, T.
https://orcid.org/0000-0002-1740-762X
Author
  University of Huddersfield - Smyth, T.A.G.
https://orcid.org/0000-0002-1740-762X
Author
  University of Huddersfield - Wilson, R.
https://orcid.org/0000-0001-9063-8021
Publisher
  NERC EDS Environmental Information Data Centre
Owner
  University of Huddersfield
Custodian
  NERC EDS Environmental Information Data Centre
GEMET - INSPIRE themes, version 1.0
  • Land Cover
Access constraints
otherRestrictions Other restrictions
Other constraints
Registration is required to access this data
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
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 Grid
Distance
0.01  urn:ogc:def:uom:EPSG::9001
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Imagery base maps earth cover
Begin date
2020-02-01
End date
2020-02-28
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W
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Unique resource identifier
WGS 84
Distribution format
  • TIFF ()

Distributor
  NERC EDS Environmental Information Data Centre
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Hierarchy level
dataset Dataset
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dataset

Conformance result

Date (Publication)
2010-12-08
Statement
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.
File identifier
ac7071cb-79a3-400d-9f17-13dc4a657083 XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-11-13T16:22:29
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

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Keywords

GEMET - INSPIRE themes, version 1.0
Land Cover

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