ac7071cb-79a3-400d-9f17-13dc4a657083 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:22:29 UK GEMINI 2.3 WGS 84 Aerial imagery of Ynyslas coastal sand dunes, Wales in 2020 2022-11-15 publication https://catalogue.ceh.ac.uk/id/ac7071cb-79a3-400d-9f17-13dc4a657083 10.5285/ac7071cb-79a3-400d-9f17-13dc4a657083 doi: 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 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 Smyth, T. University of Huddersfield t.ag.smyth@hud.ac.uk https://orcid.org/0000-0002-1740-762X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Smyth, T.A.G. University of Huddersfield t.ag.smyth@hud.ac.uk https://orcid.org/0000-0002-1740-762X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Wilson, R. University of Huddersfield R.Wilson2@hud.ac.uk https://orcid.org/0000-0001-9063-8021 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Huddersfield t.ag.smyth@hud.ac.uk owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Land Cover theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication aerial photograph sand dune GEMET - Concepts, version 4.1.3 2019-01-28 creation Coastal Dunes Remote Sensing Image Classification otherRestrictions Registration is required to access this data otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 grid 0.01 English utf8 imageryBaseMapsEarthCover 2020-02-01 2020-02-28 -5.473 -2.654 51.375 53.434 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/ac7071cb-79a3-400d-9f17-13dc4a657083 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/ac7071cb-79a3-400d-9f17-13dc4a657083.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 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.