The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 681–688, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 681–688, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-681-2021

  28 Jun 2021

28 Jun 2021

WATER TURBIDITY ESTIMATION FROM LIDAR BATHYMETRY DATA BY FULL-WAVEFORM ANALYSIS – COMPARISON OF TWO APPROACHES

K. Richter1, D. Mader1, P. Westfeld2, and H.-G. Maas1 K. Richter et al.
  • 1Institute of Photogrammetry and Remote Sensing, Technische Universität Dresden, Germany
  • 2Federal Maritime and Hydrographic Agency (BSH), Section Geodetic-hydrographic Techniques and Systems, Germany

Keywords: full-waveform analysis, volume backscatter, exponential decay coefficient, exponential function approximation, SVB algorithm

Abstract. Airborne LiDAR bathymetry is an efficient technique for surveying the bottom of shallow waters. In addition, the measurement data contain valuable information about the local turbidity conditions in the water body. The extraction of this information requires appropriate evaluation methods examining the decay of the recorded waveform signal. Existing approaches are based on several assumptions concerning the influence of the ALB system on the waveform signal, the extraction of the volume backscatter, and the directional independence of turbidity. The paper presents a novel approach that overcomes the existing limitations using two alternative turbidity estimation methods as well as different variants of further processed full-waveform data. For validation purposes, the approach was applied to a data set of a shallow inland water. The results of the quantitative evaluation show, which method and which data basis is best suited for the derivation of area wide water turbidity information.