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ESTIMATION Of SUSPENDED SEDIMENT CONCENTRATION USING VNREDSAT – 1A MULTISPECTRAL DATA, A CASE STUDY IN RED RIVER, HANOI, VIETNAM

https://doi.org/10.24057/2071-9388-2018-11-3-49-60

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Abstract

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.

About the Authors

Le Hung Trinh
Le Quy Don Technical University.
Russian Federation
Hanoi


V. R. Zablotskii
Moscow State University of Geodesy and Cartography.
Russian Federation
Moscow.


Thi Giang Le
Vietnam National University of Agriculture.
Russian Federation
Hanoi.


Thi Thu Hien Dinh
Electric Power University.
Russian Federation
Hanoi.


Thi Trinh Le
Hanoi University of Natural Resources and Environment.
Russian Federation
Hanoi.


Thi Tham Trinh
Hanoi University of Natural Resources and Environment.
Russian Federation
Hanoi.


Thi Thu Nga Nguyen
Le Quy Don Technical University.
Russian Federation
Hanoi.


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For citation:


Trinh L., Zablotskii V.R., Le T., Hien Dinh T., Le T., Trinh T., Nga Nguyen T. ESTIMATION Of SUSPENDED SEDIMENT CONCENTRATION USING VNREDSAT – 1A MULTISPECTRAL DATA, A CASE STUDY IN RED RIVER, HANOI, VIETNAM. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2018;11(3):49-60. https://doi.org/10.24057/2071-9388-2018-11-3-49-60

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)