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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Short summary
Water depth observations are essential data to forecast flood hazard, predict sediment transport, or monitor in-stream habitats. We retrieved bathymetry with a sonar wired to a drone. This system can improve the speed and spatial scale at which water depth observations are retrieved. Observations can be retrieved also in unnavigable or inaccessible rivers. Water depth observations showed an accuracy of ca. 2.1 % of actual depth, without being affected by water turbidity or bed material.
Water depth observations are essential data to forecast flood hazard, predict sediment...
HESS | Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4165–4181, 2018
https://doi.org/10.5194/hess-22-4165-2018
Hydrol. Earth Syst. Sci., 22, 4165–4181, 2018
https://doi.org/10.5194/hess-22-4165-2018

Technical note 07 Aug 2018

Technical note | 07 Aug 2018

Technical note: Bathymetry observations of inland water bodies using a tethered single-beam sonar controlled by an unmanned aerial vehicle

Filippo Bandini et al.

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Cited articles

Alsdorf, D. E., Rodriguez, E., and Lettenmaier, D. P.: Measuring surface water from space, Rev. Geophys., 45, 1–24, https://doi.org/10.1029/2006RG000197, 2007. 
Bagheri, O., Ghodsian, M., and Saadatseresht, M.: Reach scale application of UAV+SfM method in shallow rivers hyperspatial bathymetry, Int. Arch. Photogramm., 40, 77–81, 2015. 
Bailly, J. S., le Coarer, Y., Languille, P., Stigermark, C. J., and Allouis, T.: Geostatistical estimations of bathymetric LiDAR errors on rivers, Earth Surf. Proc. Land., 35, 1199–1210, https://doi.org/10.1002/esp.1991, 2010. 
Bandini, F., Jakobsen, J., Olesen, D., Reyna-Gutierrez, J. A., and Bauer-Gottwein, P.: Measuring water level in rivers and lakes from lightweight Unmanned Aerial Vehicles, J. Hydrol., 548, 237–250, https://doi.org/10.1016/j.jhydrol.2017.02.038, 2017. 
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Short summary
Water depth observations are essential data to forecast flood hazard, predict sediment transport, or monitor in-stream habitats. We retrieved bathymetry with a sonar wired to a drone. This system can improve the speed and spatial scale at which water depth observations are retrieved. Observations can be retrieved also in unnavigable or inaccessible rivers. Water depth observations showed an accuracy of ca. 2.1 % of actual depth, without being affected by water turbidity or bed material.
Water depth observations are essential data to forecast flood hazard, predict sediment...
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