Effects of spectral variability due to sediment and bottom characteristics on remote sensing for suspended sediment in shallow rivers-Reference-Cited by-同舟云学术

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Effects of spectral variability due to sediment and bottom characteristics on remote sensing for suspended sediment in shallow rivers

Published:2023-06 Issue: Volume:878 Page:163125
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Kwon Siyoon,Noh Hyoseob,Seo Il Won,Park Yong Sung

Funder

Korea Agency for Infrastructure Technology Advancement

Ministry of Land, Infrastructure and Transport

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference83 articles.

1. An analytical model for subsurface irradiance and remote sensing reflectance in deep and shallow case-2 waters;Albert;Opt. Express,2003

2. UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows;Baek;Adv. Water Resour.,2019

3. Evaluation of the first year of operational sentinel-2A data for retrieval of suspended solids in medium- to high-turbiditywaters;Caballero;Remote Sens.,2018

4. Retrieval of suspended sediment concentrations in the Pearl River estuary using multi-source satellite imagery;Cao;Remote Sens.,2022

5. The form of the relationship between suspended sediment concentration and spectral reflectance–its implications for the use of Daedalus 1268 data;Chen;Int. J. Remote Sens.,1991

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1. Can Surface Water Color Accurately Determine Sediment Concentration and Grain Size? A Hyperspectral Imaging Study;Water;2024-08-01

2. Evaluating opportunities for broad-scale remote sensing of total suspended solids on small rivers;Remote Sensing Applications: Society and Environment;2024-08

3. Comparison between Hyperspectral and Multispectral Retrievals of Suspended Sediment Concentration in Rivers;Water;2024-04-29

4. Application of RGB UAV imagery to sea surface suspended sediment concentration monitoring in coastal construction site;Applied Ocean Research;2024-04

5. Application of deep learning in predicting suspended sediment concentration: A case study in Jiaozhou Bay, China;Marine Pollution Bulletin;2024-04

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