Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques.
Casella, Elisa, Collin, Antoine, Harris, Daniel, Ferse, Sebastian, Bejarano, Sonia, Parravicini, Valeriano, Hench, James L. and Rovere, Alessio (2017) Mapping coral reefs using consumer-grade drones and structure from motion photogrammetry techniques. Coral Reefs, 36 (1). pp. 269-275. DOI https://doi.org/10.1007/s00338-016-1522-0.
Full text not available from this repository.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.
Document Type: | Article |
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Programme Area: | UNSPECIFIED |
Research affiliation: | Biogeochemistry and Geology > Geoecology & Carbonate Sedimentology Ecology > Human Agency, Resilience and Diversity in Coral Reefs Biogeochemistry and Geology |
Refereed: | Yes |
Open Access Journal?: | No |
DOI etc.: | https://doi.org/10.1007/s00338-016-1522-0 |
ISSN: | 0722-4028 |
Date Deposited: | 29 Mar 2019 12:32 |
Last Modified: | 01 Oct 2020 12:58 |
URI: | http://cris.leibniz-zmt.de/id/eprint/1710 |
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