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Open AccessArticle

Remote Sensing of Sub-Surface Suspended Sediment Concentration by Using the Range Bias of Green Surface Point of Airborne LiDAR Bathymetry

1
School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
Institute of Marine Science and Technology, Wuhan University, Wuhan 430079, China
3
Automation Department, School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China
4
The Survey Bureau of Hydrology and Water Resources of Yangtze Estuary, Shanghai 200136, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(5), 681; https://doi.org/10.3390/rs10050681
Received: 1 March 2018 / Revised: 21 April 2018 / Accepted: 24 April 2018 / Published: 27 April 2018
(This article belongs to the Section Ocean Remote Sensing)
Suspended sediment concentrations (SSCs) have been retrieved accurately and effectively through waveform methods by using green-pulse waveforms of airborne LiDAR bathymetry (ALB). However, the waveform data are commonly difficult to analyze. Thus, this paper proposes a 3D point-cloud method for remote sensing of SSCs in calm waters by using the range biases of green surface points of ALB. The near water surface penetrations (NWSPs) of green lasers are calculated on the basis of the green and reference surface points. The range biases (ΔS) are calculated by using the corresponding NWSPs and beam-scanning angles. In situ measured SSCs (C) and range biases (ΔS) are used to establish an empirical CS model at SSC sampling stations. The SSCs in calm waters are retrieved by using the established CS model. The proposed method is applied to a practical ALB measurement performed by Optech Coastal Zone Mapping and Imaging LiDAR. The standard deviations of the SSCs retrieved by the 3D point-cloud method are less than 20 mg/L. View Full-Text
Keywords: airborne LiDAR bathymetry; range bias of green surface point; near water surface penetration; suspended sediment concentration airborne LiDAR bathymetry; range bias of green surface point; near water surface penetration; suspended sediment concentration
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MDPI and ACS Style

Zhao, X.; Zhao, J.; Zhang, H.; Zhou, F. Remote Sensing of Sub-Surface Suspended Sediment Concentration by Using the Range Bias of Green Surface Point of Airborne LiDAR Bathymetry. Remote Sens. 2018, 10, 681.

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