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ESTIMATION Of SUSPENDED SEDIMENT CONCENTRATION USING VNREDSAT – 1A MULTISPECTRAL DATA, A CASE STUDY IN RED RIVER, HANOI, VIETNAM
Author(s) -
Trịnh Lê Hùng,
Vladimir Zablotskii,
Thi Giang Le,
Thị Thu Hiền Đinh,
Thi Trinh Le,
Thi Tham Trinh,
Tien Anh Nguyen
Publication year - 2018
Publication title -
geography, environment, sustainability
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.316
H-Index - 8
eISSN - 2542-1565
pISSN - 2071-9388
DOI - 10.24057/2071-9388-2018-11-3-49-60
Subject(s) - multispectral image , sediment , environmental science , water quality , ground truth , remote sensing , satellite , pollution , environmental monitoring , hydrology (agriculture) , geology , environmental engineering , computer science , geomorphology , ecology , geotechnical engineering , machine learning , aerospace engineering , engineering , biology
The traditional methods for measuring water quality variables are timeconsuming and do not give a synoptic view of a water body or, more significantly, a synoptic view of different water bodies across the landscape. However, remote sensing technology with advantages such as wide area coverage and short revisit interval have been effectively used for environmental pollution applications, such as for monitoring water quality parameters. Many studies around the world show that optical satellite imagery can be used effectively in evaluating suspended sediment concentration. This article presents results of monitoring suspended sediment concentration in Red River, Hanoi, Vietnam through ground truth measurements and VNREDSat-1A multispectral data. The results obtained in the study can be used to serve the management, monitoring and evaluation of surface water quality.

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