Authors

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.

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

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.

References

1. Quynh, H.N.N.; Khoi, D.N.; Hoai, H.C.; Bay, N.T. Application of remote sensing and GIS for riverbank assessment in the BASSAC and Mekong Rivers. VN J. Hydrometeorol. 2018, 08, 12−22.

2. Hai, H.Q. Correlation of erosion–aggradation in areas along Tien and Hau Rivers. VN J. Earth Sci. 2011, 33, 37–44.

3. Lam−Dao, N.; Pham−Bach, V.; Nguyen−Thanh, M.; Pham−Thi, M.T.; Hoang−Phi P. Change detection of land use and riverbank in Mekong Delta, Vietnam using time series remotely sensed data. J. Res. Ecology 2011, 2, 370−374.

4. Li, X.; Liu, J.P.; Saito, Y.; Nguyen, V.L. Recent evolution of the Mekong Delta and the impacts of dams. Earth Sci. Rev. 2017175, 1−17.

5. Hoai, H.C.; Bay, N.T.; Khoi, D.N.; Nga, T.N.Q. Analyzing the causes producing the rapidity of river bank erosion in Mekong Delta. VN J. Hydrometeorol. 2019, 7, 42–50.

6. Dominici, D.; Zollini, S.; Alicandro, M.; Della Torre, F.; Buscema, P.M.; Baiocchi V. High Resolution Satellite Images for Instantaneous Shoreline Extraction Using New Enhancement Algorithms. Geosciences 2019, 9, 123.

7. Dominici, D.; Beltrami, G.M.; De Girolamo, P. Ortorettifica di Immagini satellitari ad alta risoluzione finalizzata al monitoraggio costiero a scala regionale. Stud. Cost. 200611, 145–146.

8. Paravolidakis, V.; Ragia, L.; Moirogiorgou, K.; Zervakis, M. Automatic Coastline Extraction Using Edge Detection and Optimization Procedures. Geosciences 20188, 407.

9. El−Asmar, H.M.; Hereher, M.E. Change detection of the coastal zone east of the Nile Delta using remote sensing. Environ. Earth Sci. 2011, 162,769−777.

10. Gao, BC. NDWI−A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sens. Environ. 1996, 58, 257−266.

11. Ouma, Y.O.; Tateishi, R. A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes: an empirical analysis using Landsat TM and ETM+ data. Int. J. Remote Sens. 2006, 27, 3153−3181.

12. Xu, H. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int. J. Remote Sens. 2006, 27, 3025−3033.

13. Chand, P.; Acharya, P. Shoreline change and sea level rise along coast of Bhitarkanika wildlife sanctuary, Orissa: An analytical approach of remote sensing and statistical techniques. Int. J. Geomatics and Geosci. 2010, 1, 436−455.

14. Feyisa, G.L.; Meilby, H.; Fensholt, R.; Proud, S.R. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sens. Environ. 2014, 140, 23−35.

15. Thao, P.T.P.; Duan, H.D.; To, D.V. Application of Remote Sensing and GIS for calculating the coastline changes in Phan Thiet. VN J. Marine Sci. Technol. 2014, 11, 1–13.

16. Diem, P.K.; Minh, V.Q.; Diep, N.T.H.; Den, D.V. Monitoring the shoreline change in coastal area of Ca Mau and Bac Lieu province from 1995 to 2010 by using remote sensing and GIS. Can Tho Univ. J. Sci. 2013, 26, 35–43.

17. Trung, N.V.; Khanh, N.V. Shoreline variation monitoring using multi−time Landsat satellite images in Cua Dai, Thu Bon River, Quang Nam. Min. Sci. Geol. J. 2016, 57, 1–10.

18. Binh, N.Q.; Duong, V.N. Mapping shoreline variation using remote sensing technology, applied to Danang Bay. J. Sci. Technol. 2018, 3, 1−5.

19. Long, V.H.; Giang, N.V.; Hoanh, T.P.; Hoa, P.V. Applying Google Earth Engine in river bank erosion monitoring – a case study in lower Mekong River. J. Sci. 2019, 16, 38.

20. Khoi, D.N.; Dang, TD; Pham, L.T.; Loi, P.T.; Thuy, N.T.; Phung, N.K., Bay; N.T. Morphological change assessment from intertidal to river−dominated zones using multiple−satellite imagery: A case study of the Vietnamese Mekong Delta. Reg. Stud. Marine Sci. 2020, 34, 101087.

21. Kim, T.T.; Huong, N.T.M.; Huy, N.D.Q.; Tai, P.A.; Hong, S.; Quan, T.M.; Bay, N.T.; Jeong, W.K.; Phung, N.K. Assessment of the Impact of Sand Mining on Bottom Morphology in the Mekong River in An Giang Province, Vietnam, Using a Hydro−Morphological Model with GPU Computing, Water 202012, 2912.

22. Alesheikh, A.A.; Ghorbanali, A.; Nouri, N. Coastline change detection using remote sensing. Int. J. Environ. Sci. Technol. 2007, 4, 61−66.

23. Duru, U. Shoreline change assessment using multi−temporal satellite images: a case study of Lake Sapanca, NW Turkey. Environ. Monit. Assess. 2017, 189, 385.

24. Thieler, E.R.; Himmelstoss, E.A.; Zichichi, J.L.; Ergul, A. The Digital Shoreline Analysis System (DSAS) Version 4.0 − An ArcGIS Extension for Calculating Shoreline Change. Open−File Report. US Geological Survey Report No. 2008− 1278: http://woodshole.er.usgs.gov/projectpages/dsas/version4/. 2009.

25. Temitope, D.T.; Oyedotun. Shoreline Geometry: DSAS as a Tool for Historical Trend Analysis. Geomorphological Techniques 2014, Chap. 3, Sec. 2.2.

26. Jordan, C.; Tiede, J.; Lojek, O.; Visscher, J.; Apel, H.; Nguyen, H.Q.; Quang, C.N.X. and Schlurmann, T. Sand mining in the Mekong Delta revisited−current scales of local sediment deficits. Sci. Rep. 20199, 1−14.