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Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques
Authors:Casella  Elisa  Collin  Antoine  Harris  Daniel  Ferse  Sebastian  Bejarano  Sonia  Parravicini  Valeriano  Hench  James L.  Rovere  Alessio
Affiliation:1.ZMT, Leibniz Center for Tropical Marine Ecology, Bremen, Germany
;2.EPHE—Ecole Pratique des Hautes Etudes, Dinard, France
;3.MARUM, University of Bremen, Bremen, Germany
;4.Nicholas School of the Environment, Duke University, Beaufort, NC, USA
;5.Lamont Doherty Earth Observatory, Columbia University, New York, NY, USA
;6.Ecole Pratique des Hautes Etudes, Paris, Sciences et Lettres Research University, Université de Perpignan, CNRS, USR 3278 Centre de Recherches Insulaires et Observatoire de l’environnement, Perpignan, France
;7.Laboratoire d’Excellence, CORAIL, Perpignan, France
;
Abstract:

We propose a novel technique to measure the small-scale three-dimensional features of a shallow-water coral reef using a small drone equipped with a consumer-grade camera, a handheld GPS and structure from motion (SfM) algorithms. We used a GoPro HERO4 with a modified lens mounted on a DJI Phantom 2 drone (maximum total take-off weight <2 kg) to perform a 10 min flight and collect 306 aerial images with an overlap equal or greater than 90%. We mapped an area of 8380 m2, obtaining as output an ortho-rectified aerial photomosaic and a bathymetric digital elevation model (DEM) with a resolution of 0.78 and 1.56 cm pixel−1, respectively. Through comparison with airborne LiDAR data for the same area, we verified that the location of the ortho-rectified aerial photomosaic is accurate within ~1.4 m. The bathymetric difference between our DEM and the LiDAR dataset is −0.016 ± 0.45 m (1σ). Our results show that it is possible, in conditions of calm waters, low winds and minimal sun glint, to deploy consumer-grade drones as a relatively low-cost and rapid survey technique to produce multispectral and bathymetric data on shallow-water coral reefs. We discuss the utility of such data to monitor temporal changes in topographic complexity of reefs and associated biological processes.

Keywords:
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