Application of an autonomous robot for the collection of nearshore topographic and hydrodynamic measurements

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Wübbold, F.; Hentschel, M.; Vousdoukas, M.I.; Wagner, B.: Application of an autonomous robot for the collection of nearshore topographic and hydrodynamic measurements. In: Proceedings of the Coastal Engineering Conference (2012). DOI: https://doi.org/10.9753/icce.v33.management.53

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1860

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Sum total of downloads: 324




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Abstract: 
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.
License of this version: CC BY 3.0 US
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 182 56.17%
2 image of flag of China China 32 9.88%
3 image of flag of United States United States 31 9.57%
4 image of flag of Czech Republic Czech Republic 12 3.70%
5 image of flag of Philippines Philippines 9 2.78%
6 image of flag of Russian Federation Russian Federation 5 1.54%
7 image of flag of Taiwan Taiwan 4 1.23%
8 image of flag of Indonesia Indonesia 4 1.23%
9 image of flag of Estonia Estonia 4 1.23%
10 image of flag of United Kingdom United Kingdom 3 0.93%
    other countries 38 11.73%

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