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Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning

1
GEOSAT, 33600 Pessac, France
2
GeoNumerics, Avda. Carl Friedrich Gauss, 11, 08860 Castelldefels, Spain
3
Telespazio France, 33360 Latresne, France
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(11), 1352; https://doi.org/10.3390/rs11111352
Received: 24 April 2019 / Revised: 23 May 2019 / Accepted: 1 June 2019 / Published: 5 June 2019
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Abstract

Recurrent monitoring of sandy beaches and of the dunes behind them is needed to improve the scientific knowledge on their dynamics as well as to develop sustainable management practices of those valuable landforms. Unmanned Aircraft Systems (UAS) are sought as a means to fulfill this need, especially leveraged by photogrammetric and LiDAR-based mapping methods and technology. The present study compares different strategies to carry UAS photogrammetric corridor mapping over linear extensions of sandy shores. In particular, we present results on the coupling of a UAS with a mobile laser scanning system, operating simultaneously in Cap Ferret, SW France. This aerial-terrestrial tandem enables terrain reconstruction with kinematic ground control points, thus largely avoiding the deployment of surveyed ground control points on the non-stable sandy ground. Results show how these three techniques—mobile laser scanning, photogrammetry based on ground control points, and photogrammetry based on kinematic ground control points—deliver accurate (i.e., root mean square errors < 15 cm) 3D reconstruction of beach-to-dune transition areas, the latter being performed at lower survey and logistic costs, and with enhanced spatial coverage capabilities. This study opens the gate for exploring longer (hundreds of kilometers) shoreline dynamics with ground-control-point-free air and ground mapping techniques. View Full-Text
Keywords: UAS photogrammetry; mobile laser scanning; mapKITE; topography; Cap Ferret UAS photogrammetry; mobile laser scanning; mapKITE; topography; Cap Ferret
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Nahon, A.; Molina, P.; Blázquez, M.; Simeon, J.; Capo, S.; Ferrero, C. Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning. Remote Sens. 2019, 11, 1352.

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