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Articles | Volume XLIII-B2-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 945–951, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2022, 945–951, 2022
https://doi.org/10.5194/isprs-archives-XLIII-B2-2022-945-2022
 
30 May 2022
30 May 2022

DETERMINATION OF 3D WATER TURBIDITY PARAMETER FIELDS FROM LIDAR BATHYMETRY DATA BY VOLUMETRIC DATA ANALYSIS

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: depth-resolved turbidity parameters, spatially resolved decay parameter fields, exponential function approximation, voxel space representation, ortho full-waveform

Abstract. Accurate information on turbidity in water bodies is relevant to numerous limnological and oceanological issues. However, the collection of turbidity parameters using conventional in-situ measurement methods is time-consuming and cost-intensive and therefore usually limited to very small study areas. The use of airborne LiDAR bathymetry data is a promising alternative. However, existing methods for deriving turbidity parameters from airborne LiDAR bathymetry data are limited to the determination of one single turbidity parameter per water column element. The paper presents a novel approach that overcomes the existing limitations enables the determination of 3D water turbidity fields. By volumetric data analysis, the vertical turbidity stratification in the water body can be determined. For validation purposes, the approach was applied to synthetic measurement data generated in a simulation as well as a real measurement data set of a shallow coastal water.