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Beschreibung

This tutorial focuses on novel approaches to analyze full-waveform LiDAR bathymetry data. Standard methods often reach their limits, especially with regard to the evaluable water depth and the derived information content. The tutorial provides an introduction to novel processing methods that address these challenges and provide additional water body information.

In the theoretical part of the tutorial, full-waveform stacking approaches based on the analysis of adjacent waveforms will be introduced. These methods enable the identification of water bottom points in areas where conventional workflows encounter limitations. Additionally, a technique for deriving information on water turbidity will be presented. Participants will gain a comprehensive understanding of the underlying concepts and their potential applications.
In the practical part, a data set of an alpine mountain lake will be used to test the presented methods hands-on. The participants will:
• analyze individual full-waveforms from different areas of the water body to understand the challenges in full-waveform processing,
• process adjacent full-waveforms using the full-waveform stacking methods and investigate the impact of neighborhood choice on the detection of water bottom points,
• derive turbidity parameters from the stacked full-waveforms both manually and automatically.
This interactive tutorial offers participants the opportunity to directly apply the presented methods and to develop a better understanding of the potentials and challenges of full-waveform analysis in bathymetry.
The tutorial is aimed at scientists, engineers and practitioners who deal with the analysis of LiDAR bathymetry data and want to expand their knowledge of innovative evaluation methods.