David, C. Gabriel, Kohl, Nina, Casella, Elisa, Rovere, Alessio, Ballesteros, Pablo and Schlurmann, Torsten (2021) Structure-from-Motion on shallow reefs and beaches: potential and limitations of consumer-grade drones to reconstruct topography and bathymetry. Coral Reefs, 40 . pp. 835-851. DOI https://doi.org/10.1007/s00338-021-02088-9.

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Reconstructing the topography of shallow underwater environments using Structure-from-Motion—Multi View Stereo (SfM-MVS) techniques applied to aerial imagery from Unmanned Aerial Vehicles (UAVs) is challenging, as it involves nonlinear distortions caused by water refraction. This study presents an experiment with aerial photographs collected with a consumer-grade UAV on the shallow-water reef of Fuvahmulah, the Maldives. Under conditions of rising tide, we surveyed the same portion of the reef in ten successive flights. For each flight, we used SfM-MVS to reconstruct the Digital Elevation Model (DEM) of the reef and used the flight at low tide (where the reef is almost entirely dry) to compare the performance of DEM reconstruction under increasing water levels. Our results show that differences with the reference DEM increase with increasing depth, but are substantially larger if no underwater ground control points are taken into account in the processing. Correcting our imagery with algorithms that account for refraction did not improve the overall accuracy of reconstruction. We conclude that reconstructing shallow-water reefs (less than 1 m depth) with consumer-grade UAVs and SfM-MVS is possible, but its precision is limited and strongly correlated with water depth. In our case, the best results are achieved when ground control points were placed underwater and no refraction correction is used.

Document Type: Article
Programme Area: PA2
Research affiliation: Affiliations > Not ZMT
Infrastructure > DigiZ - Research Data Infrastructure
Refereed: Yes
Open Access Journal?: No
DOI etc.: https://doi.org/10.1007/s00338-021-02088-9
ISSN: 0722-4028
Date Deposited: 05 May 2021 13:27
Last Modified: 24 Nov 2021 12:51
URI: http://cris.leibniz-zmt.de/id/eprint/4568

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