Abstract

Abstract. High-quality bathymetric maps of inland water bodies are a common requirement for hydraulic engineering and hydrological science applications. Remote sensing methods, such as space-borne and airborne multispectral imaging or lidar, have been developed to estimate water depth, but are ineffective for most inland water bodies, because of the attenuation of electromagnetic radiation in water, especially under turbid conditions. Surveys conducted with boats equipped with sonars can retrieve accurate water depths, but are expensive, time-consuming, and unsuitable for unnavigable water bodies. We develop and assess a novel approach to retrieve accurate and high-resolution bathymetry maps. We measured accurate water depths using a tethered floating sonar controlled by an unmanned aerial vehicle (UAV) in a lake and in two different rivers located in Denmark. The developed technique combines the advantages of remote sensing with the potential of bathymetric sonars. UAV surveys can be conducted also in unnavigable, inaccessible, or remote water bodies. The tethered sonar can measure bathymetry with an accuracy of ∼2.1 % of the actual depth for observations up to 35 m, without being significantly affected by water turbidity, bed form, or bed material.

Highlights

  • Accurate topographic data from the riverbed and floodplain areas are crucial elements in hydrodynamic models

  • The unmanned aerial vehicle (UAV) was equipped with a Global Navigation Satellite System (GNSS) receiver for retrieving accurate position, an inertial measurement unit (IMU) to retrieve angular and linear motion, and a radar system to measure the range to water surface

  • The radar and GNSS systems are the same instrumentation as described in Bandini et al (2017), in which water surface elevation (WSE) was measured by subtracting the range measured by the radar from the altitude observed by the GNSS instrumentation

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Summary

Introduction

Accurate topographic data from the riverbed and floodplain areas are crucial elements in hydrodynamic models. Remote sensing imagery from satellites, such as Landsat (Liceaga-Correa and Euan-Avila, 2002), QuickBird (Lyons et al, 2011), IKONOS (Stumpf et al, 2003), WorldView-2 (Hamylton et al, 2015; Lee et al, 2011), and aircrafts (Carbonneau et al, 2006; Marcus et al, 2003), has been used to monitor the bathymetry of inland water bodies. Bathymetry can only be derived from optical imagery when water is very clear and shallow, the sediment is comparatively homogeneous, and atmospheric conditions are favorable (Legleiter et al, 2009; Lyzenga, 1981; Lyzenga et al, 2006; Overstreet and Legleiter, 2017)

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