Accuracy of sand beach topography surveying by drones and photogrammetry

Casella, Elisa ORCIDiD
Drechsel, Jan
Winter, Christian ORCIDiD
Benninghoff, Markus
Rovere, Alessio ORCIDiD

DOI: https://doi.org/10.1007/s00367-020-00638-8
Persistent URL: http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10713
Casella, Elisa; Drechsel, Jan; Winter, Christian; Benninghoff, Markus; Rovere, Alessio, 2020: Accuracy of sand beach topography surveying by drones and photogrammetry. In: Geo-Marine Letters, 40, 2, 255-268, DOI: https://doi.org/10.1007/s00367-020-00638-8. 
 
Casella, Elisa; ZMT, Leibniz Centre for Tropical Marine Research, Bremen, Germany
Drechsel, Jan; MARUM - Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
Winter, Christian; Institute of Geosciences, Christian-Albrechts University Kiel, Kiel, Germany
Benninghoff, Markus; Institute of Geosciences, Christian-Albrechts University Kiel, Kiel, Germany
Rovere, Alessio; MARUM - Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany

Abstract

Beaches are characterized by high morphodynamic activity, and high-frequency measurements are needed to understand their states and rates of change. Ideally, beach survey methods should be at once accurate, rapid and low-cost. Recently, unmanned aerial systems (drones) have been increasingly utilized to measure beach topography. In this paper, we present a review of the state of art in drones and photogrammetry for beach surveys and the respective achieved measurement quality (where reported). We then show how drones with a minimal configuration and a low-cost setup can meet the high accuracy and rapidity required for beach surveys. To test a minimal drone and ground control point configuration, we used consumer-grade equipment to perform the same flight path with different cameras and at different altitudes. We then used photogrammetry to produce digital elevation models of the beach. Using a GNSS-RTK system, we collected 2950 independent control points to evaluate the accuracy of the digital elevation models. Results show that, once a few potential sources of uncertainties in the final digital elevation model are taken into account, the average RMSE(z) of the digital elevation models was ~5 cm, with a survey efficiency of ca. 3 m2 min−1. Digital elevation models taken at different times were used to calculate the before–after sediment budget following a storm that hit a sandy coast in Sylt Island at the German North Sea coast.