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ACQUISITION OF GEOMETRICAL DATA OF SMALL RIVERS WITH AN UNMANNED WATER VEHICLE

机译:用无人水车采集小河的几何数据

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Rivers with small- and medium-scaled catchments have been increasingly affected by extreme events, i.e. flash floods, in the last years. New methods to describe and predict these events are developed in the interdisciplinary research project EXTRUSO. Flash flood events happen on small temporal and spatial scales, stressing the necessity of high-resolution input data for hydrological and hydrodynamic modelling. Among others, the benefit of high-resolution digital terrain models (DTMs) will be evaluated in the project. This article introduces a boat-based approach for the acquisition of geometrical and morphological data of small rivers and their banks. An unmanned water vehicle (UWV) is used as a multi-sensor platform to collect 3D-point clouds of the riverbanks, as well as bathymetric measurements of water depth and river morphology. The UWV is equipped with a mobile Lidar, a panorama camera, an echo sounder and a positioning unit. Whole (sub-) catchments of small rivers can be digitalized and provided for hydrological modelling when UWV-based and UAV (unmanned aerial vehicle) based point clouds are fused.
机译:在过去的几年中,中小规模集水区的河流越来越受到极端事件的影响,即山洪暴发。跨学科研究项目EXTRUSO开发了描述和预测这些事件的新方法。暴洪事件发生在较小的时间和空间尺度上,这强调了高分辨率输入数据在水文和水动力建模中的必要性。其中,将在该项目中评估高分辨率数字地形模型(DTM)的优势。本文介绍了一种基于船的方法,用于获取小河及其河岸的几何和形态数据。无人机(UWV)用作多传感器平台,用于收集河岸的3D点云以及水深和河流形态的测深法。 UWV配备有移动激光雷达,全景相机,回声测深仪和定位单元。当基于UWV和基于UAV(无人机)的点云融合在一起时,小河的整个(子)流域可以数字化并提供给水文建模。

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