UAV-based LiDAR Bathymetry at an Alpine Mountain Lake

Katja Richter, D. Mader, H. Sardemann, Hans-Gerd Maas
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Abstract

Abstract. LiDAR bathymetry provides an efficient and comprehensive way to capture the topography of water bodies in shallow water areas. However, the penetration depth of this measurement method into the water column is limited by the medium water and water turbidity, resulting in a limited detectability of the bottom topography in deeper waters. An increase of the analyzable water depth is possible by the use of extended evaluation methods, in detail full-waveform stacking methods. So far, however, this has only been investigated for water depths of up to 3.50 m due to water turbidity. In this article, the potential of these extended data processing methods is investigated on an alpine mountain lake with low water turbidity and thus high analyzable water depth. Compared to the standard data processing, the penetration depth could be significantly increased by 58%. In addition, methods for depth-resolved water turbidity parameter determination on the basis of LiDAR bathymetry data were successfully tested.
基于无人机的高山湖泊激光雷达测深技术
摘要激光雷达测深为捕捉浅水区水体地形提供了一种高效而全面的方法。然而,这种测量方法对水体的穿透深度受到介质水和水体浊度的限制,导致对较深水域底部地形的探测能力有限。通过使用扩展评估方法,特别是全波形叠加方法,可以增加可分析的水深。然而,由于水体浑浊度的原因,迄今为止,只对水深不超过 3.50 米的水域进行过研究。本文研究了这些扩展数据处理方法在高山湖泊中的应用潜力,该湖泊水体浑浊度低,因此可分析水深较高。与标准数据处理相比,穿透深度可显著增加 58%。此外,还成功测试了基于激光雷达测深数据的深度分辨水浊度参数测定方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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