An airborne LiDAR bathymetric waveform decomposition method in very shallow water: A case study around Yuanzhi Island in the South China Sea

[Display omitted] •A new method to derive very shallow water depth and improve minimum detection depth.•Extracting water surface and bottom positions from mixed peaks by a combined model.•A Mapper5000 ALB dataset near South China Sea is applied to validate this method.•Providing a new solution to br...

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Bibliographic Details
Published in:International journal of applied earth observation and geoinformation 2022-05, Vol.109, p.102788, Article 102788
Main Authors: Yang, Fanlin, Qi, Chao, Su, Dianpeng, Ding, Shijun, He, Yan, Ma, Yue
Format: Article
Language:English
Subjects:
Airborne LiDAR bathymetry (ALB)
algorithms
case studies
China
data collection
Fractional differentiation
lidar
Mapper5000
mechanics
optics
Signal resolution enhancement
South China Sea
spatial data
topography
Very shallow water
Waveform decomposition
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Summary:[Display omitted] •A new method to derive very shallow water depth and improve minimum detection depth.•Extracting water surface and bottom positions from mixed peaks by a combined model.•A Mapper5000 ALB dataset near South China Sea is applied to validate this method.•Providing a new solution to bridge the bathymetric data gap. Airborne LiDAR bathymetry (ALB) is an active remote sensing technology for deriving underwater topography by detecting surface and bottom signals with a scanning green channel (532 nm) laser. However, due to the limitations of laser pulse duration and receiver bandwidth, the surface and bottom signal contributions are typically mixed in the green channel waveform in very shallow water (
ISSN:1569-8432
1872-826X
DOI:10.1016/j.jag.2022.102788