Determination of 3D water turbidity parameter fields from LiDAR bathymetry data by volumetric data analysis
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
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.
Details
Original language | English |
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Pages (from-to) | 945-951 |
Number of pages | 7 |
Journal | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Archives) |
Volume | 43 |
Issue number | B2-2022 |
Publication status | Published - 2022 |
Peer-reviewed | Yes |
External IDs
Mendeley | 7ef84da5-e0bb-3f20-a540-9bf568798e8d |
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Scopus | 85132003620 |
ORCID | /0000-0001-7662-8572/work/141556281 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
ASJC Scopus subject areas
Keywords
- depth-resolved turbidity parameters, exponential function approximation, ortho full-waveform, spatially resolved decay parameter fields, voxel space representation