Frauke Wübbold, Matthias Hentschel, Michalis I. Vousdoukas, Bernardo Wagner


Beach topographic and hydrodynamic measurements are essential for coastal geology and engineering studies as well as sustainable coastal management. Standard approaches involve either time-consuming manual data acquisition usually with limited coverage or remote sensing techniques which are usually characterized by low resolution or increased costs. The present contribution reports the results from the application of the autonomous robot RTS-Hanna with a calibrated sensor setup including 3D laser range scanners, a camera, a Differential GPS and an inertial measurement unit which significantly facilitates field data collection. RTS-Hanna was tested at the Wadden Sea Barrier Island Langeoog, Northern Germany, for two days and was proven capable of autonomously collecting topographic scans. 175 GB of dense topographic and water surface elevation data were collected, including RBG images, while RTS-Hanna covered a total of 21 km of coastline in approximately 3 hours. Scans of the surf/swash zone allowed continuous measurements of topographic changes at the beachface, wave propagation velocities and wave breaking heights.


remote sensing; 3D laser range scanner; topographic measurements; hydrodynamic measurements; autonomous robot

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Bleninsopp, C.E., M.A. Mole, I.L. Turner, and W.L. Peirson. 2010. Measurements of the time-varying free-surface profile across the swash zone obtained using an industrial LIDAR, Coastal Engineering, 57, 1059-1065.

De Vriend, H.J. 1991. Mathematical modelling and large scale coastal behaviour. Part I: physical processes, Journal of Hydrological Research, 29, 727-740.

Dellaert, F., D. Fox, W. Burgard, and S. Thrun. 1999. Monte carlo localization for mobile robots, Proceedings of International Conference on Robotics and Automation (ICRA1999), IEEE.

Ehlers, J. 1988. The Morphodynamics of the Wadden Sea. Balkema, Rotterdam, The Netherlands.


Flemming, B.W., and A. Bartholomä. 2003. Sedimentation and Erosion an der Nordseeküste, in: Lozán, J.L., E. Rachor, K. Reise, J. Sündermann, H.v. Westernhagen (Eds.), Warnsignale aus Nordsee & Wattenmeer – Eine aktuelle Umweltbilanz, Wissenschaftliche Auswertungen/GEO, Hamburg pp. 57-60.

Folk, R.L.1980. Petrology of the Sedimentary Rocks. Hemphill Publishing Company, Austin, Texas, U.S.A.

Holman, R.A., and J. Stanley. 2007. The history and technical capabilities of Argus, Coastal Engineering, 54, 477-491.

Niemeyer, H.D. 1992. Die ursächliche Deutung von Transportphänomenen als Gestaltungsgrundlage für Strandauffüllungen. Die Küste, 54, 53-92.

Park, H.S., J.S. Sim, J. Yoo, and D.Y. Lee. 2011. Breaking wave measurement using Terrestrial LIDAR: validation with field experiment on the Mallipo Beach. Journal of Coastal Research, 64, 1718-1721.

Pietro, L.S., M.A. O'Neal, and J.A. Puleo. 2008. Developing terrestrial-lidar-based digital elevation models for monitoring beach nourishment performance, Journal of Coastal Research, 24, 1555-1564.

Senet, C.M., J. Seemann, S. Flampouris, and F. Ziemer, 2008. Determination of Bathymetric and Current Maps by the Method DiSC Based on the Analysis of Nautical X-Band Radar Image Sequences of the Sea Surface, Transactions on Geoscience and Remote Sensing, 46, 2267-2279.

Van Gaalen, J.F., S.E. Kruse, G. Coco, L. Collins, and T. Doering. 2011. Observations of beach cusp evolution at Melbourne Beach, Florida, USA, Geomorphology, 129, 131-140.

Vousdoukas, M.I., P.M. Ferreira, L.P. Almeida, G. Dodet, U. Andriolo, F. Psaros, R. Taborda, A.N. Silva, A.E. Ruano, and Ó Ferreira. 2011a. Performance of intertidal topography video monitoring of a meso-tidal reflective beach in South Portugal, Ocean Dynamics, 61, 1521-1540.

Vousdoukas, M.I., G. Pennucci, R.A. Holman, and D.C. Conley. 2011b. A semi automatic technique for Rapid Environmental Assessment in the coastal zone using Small Unmanned Aerial Vehicles (SUAV), Journal of Coastal Research, 64, 1755-1759.

Wulf, O., C. Brenneke, and B. Wagner. 2004. Colored 2D Maps for Robot Navigation wit 3D Sensor Data, Proceedings of International Conference on Robots and Systems (IROS 2004), IEEE.