Authors

Tran Thi Kim 1,2 , Phung Thi My Diem 1 , Nguyen Ngoc Trinh 1 , Nguyen Ky Phung 3 , Nguyen Thi Bay 4,5*

Affiliations

1 Ho Chi Minh City University of Natural Resources and Environment; ttkim@hcmunre.edu.vn; ptmdiem@hcmunre.edu.vn; trinhnn@ hcmunre.edu.vn.

2 Institute for Environment and Resources, Vietnam National University Ho Chi Minh City; ttkim@hcmunre.edu.vn.

3 Institute for Computational Science and Technology, kyphungng@gmail.com.

4 Ho Chi Minh City University of Technology; ntbay@hcmut.edu.vn.

5 Vietnam National University Ho Chi Minh City; ntbay@hcmut.edu.vn.

*Correspondence: ntbay@hcmut.edu.vn; Tel.: +84−8−38654255

Abstracts

The development of remote sensing and Geographic Information System (GIS) techniques have given a substantial contribution to environmental studies in general and riverbank movement in particular. It helps the monitoring and calculation of the riverbank movement carried out more quickly and effectively. In this study, Alesheikh’s method was used to classify the riverbank based on the multi−time Landsat image. The riverbank changes in Tan Chau in the period 2005−2019 were estimated. At the same time, the rate of riverbank change in An Giang and Dong Thap Provinces was calculated in this period by using the Digital Shoreline Analysis System (DSAS), an extension tool of GIS. The results showed that the process of erosion and accretion alternately occurred during the period 2005−2019 and most of the main river branches were eroded. The assessment of riverbank movements using multi−time remote sensing materials contributes a vital role in the management and protection of the shoreline for the socio−economic development planning in the region.

Keywords

Remote sensing; GIS; Landsat image; DSAS; Riverbank.

Cite this paper

Kim, T.T.; Diem, P.T.M.; Trinh, N.N.; Phung, N.K.; Bay, N.T. Dong Thap Provinces, Vietnam in the period of 2005–2019. VN J. Hydrometeorol. 2020, 6, 35-45.

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