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

6 citations as recorded by crossref.

1. Volumetric nonlinear ortho full-waveform stacking in airborne LiDAR bathymetry for reliable water bottom point detection in shallow waters D. Mader et al. https://doi.org/10.1016/j.isprsjprs.2023.08.014
2. Waveform Analysis for Enhancing Airborne LiDAR Bathymetry in Turbid and Shallow Tidal Flats of the Korean West Coast H. Kim & J. Lee https://doi.org/10.3390/rs17233883
3. Applying Deep Learning to Bathymetric LiDAR Point Cloud Data for Classifying Submerged Environments N. Tabassum et al. https://doi.org/10.3390/app152412914
4. Derived Effective (Keff) Versus Scalar (K0) Attenuation in the Baltic Sea: Characterising Spectral Divergence and Physical Drivers A. Kaharuddin et al. https://doi.org/10.3390/jmse14100927
5. Range Difference Between Shallow and Deep Channels of Airborne Bathymetry LiDAR With Segmented Field-of-View Receivers J. Li et al. https://doi.org/10.1109/TGRS.2022.3172351
6. Radiometric enhancement of full-waveform airborne laser scanner data for volumetric representation in environmental applications K. Richter & H. Maas https://doi.org/10.1016/j.isprsjprs.2021.10.021