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Remote Sens. 2016, 8(5), 387; doi:10.3390/rs8050387

Monitoring the Topography of a Dynamic Tidal Inlet Using UAV Imagery

1
Littoral, Environnement et Sociétés, Université de la Rochelle—CNRS, 2 rue Olympe de Gouges, La Rochelle 17000, France
2
Environnements et Paléoenvironnements Océaniques et Continentaux, Université de Bordeaux—CNRS, Allée Geoffroy Saint-Hilaire, Pessac 33615, France
*
Author to whom correspondence should be addressed.
Academic Editors: Deepak R. Mishra, Richard W. Gould and Prasad S. Thenkabail
Received: 31 December 2015 / Revised: 8 April 2016 / Accepted: 27 April 2016 / Published: 6 May 2016
(This article belongs to the Special Issue Remote Sensing in Coastal Environments)
View Full-Text   |   Download PDF [12381 KB, uploaded 6 May 2016]   |  

Abstract

Unmanned Aerial Vehicles (UAVs) are being increasingly used to monitor topographic changes in coastal areas. Compared to Light Detection And Ranging (LiDAR) data or Terrestrial Laser Scanning data, this solution is low-cost and easy to use, while allowing the production of a Digital Surface Model (DSM) with a similar accuracy. Three campaigns were carried out within a three-month period at a lagoon-inlet system (Bonne-Anse Bay, La Palmyre, France), with a flying wing (eBee) combined with a digital camera. Ground Control Points (GCPs), surveyed by the Global Navigation Satellite System (GNSS) and post-processed by differential correction, allowed georeferencing DSMs. Using a photogrammetry process (Structure From Motion algorithm), DSMs and orthomosaics were produced. The DSM accuracy was assessed against the ellipsoidal height of a GNSS profile and Independent Control Points (ICPs) and the root mean square discrepancies were about 10 and 17 cm, respectively. Compared to traditional topographic surveys, this solution allows the accurate representation of bedforms with a wavelength of the order of 1 m and a height of 0.1 m. Finally, changes identified between both main campaigns revealed erosion/accretion areas and the progradation of a sandspit. These results open new perspectives to validate detailed morphological predictions or to parameterize bottom friction in coastal numerical models. View Full-Text
Keywords: UAV photogrammetry; coastal monitoring; tidal inlet; sandspit UAV photogrammetry; coastal monitoring; tidal inlet; sandspit
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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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MDPI and ACS Style

Long, N.; Millescamps, B.; Guillot, B.; Pouget, F.; Bertin, X. Monitoring the Topography of a Dynamic Tidal Inlet Using UAV Imagery. Remote Sens. 2016, 8, 387.

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