ANALYZING RIVER ESTUARY CHANGES USING REMOTE SENSING IMAGES, A CASE STUDY OF NHAT LE RIVER OF QUANG BINH PROVINCE | Hằng | TNU Journal of Science and Technology

ANALYZING RIVER ESTUARY CHANGES USING REMOTE SENSING IMAGES, A CASE STUDY OF NHAT LE RIVER OF QUANG BINH PROVINCE

About this article

Received: 31/12/21                Revised: 16/02/22                Published: 23/02/22

Authors

1. Le Thi Thu Hang Email to author, Vietnam National Space Center – VAST
2. Nguyen Hong Quang, Vietnam National Space Center – VAST
3. Vu Anh Tuan, Vietnam National Space Center – VAST
4. Nguyen Manh Hung, Vietnam National Space Center – VAST

Abstract


There is a strong linkage between river morphology and river floods. Hence, this study focuses on detecting changes in the shoreline of the Nhat Le river mouth by using a series of optical satellite images (Landsat and Sentinel-2). For achieving our study goal, we applied shoreline interpretation technology by performing models integrated in DSAS software provided by United States Geological Survey added in the ArGIS platform. Inside the models, image indies, water thresholds and spatial analyses have been implemented to evaluate shoreline changes. The shoreline variations were assessed by calculating its changing rates driven by erosion and accretion processes in each 5-year periods from 2010 to 2020. The changing rates were quantified using three functional statistical parameters in DSAS, which are the evaluation of end point rate (EPR), Net Shoreline Movement (NSM), and Linear Regression Rate (LRR) statistics that indicated the variability of Nhat Le river mouth during the study period. Thereby, the advantages and the reliability of the study method were revealed and able to support the assessment of shorelines changes in terms of time and cost efficiency.

Keywords


Landsat; Sentinel-2; Water extraction; Erosion; Accretion

Full Text:

PDF

References


[1] Nhan Dan, "Solutions to limit erosion of river banks and coasts (translated)," 2021. [Online]. Available: https://nhandan.com.vn/tin-tuc-xa-hoi/giai-phap-han-che-sat-lo-bo-song-bo-bien-635730/. [Accessed Nov. 2021].

[2] A. S. Genz, C. H. Fletcher, R. A. Dunn, L. N. Frazer, and J. J. Rooney, "The predictive accuracy of shoreline change rate methods and alongshore beach variation on Maui, Hawaii," Journal of Coastal Research, vol. 23, pp. 87-105, 2007.

[3] K. A. Addo, P. Jayson-Quashigah, and K. Kufogbe, "Quantitative analysis of shoreline change using medium resolution satellite imagery in Keta, Ghana," Marine Science, vol. 1, pp. 1-9, 2011.

[4] A. K. Kabuth and A. Kroon, "Wave energy fluxes and multidecadal shoreline changes in two coastal embayments in Denmark," Ocean Dynamics, vol. 64, pp. 741-754, 2014.

[5] B. A. El-Sharnouby, K. S. El-Alfy, O. S. Rageh, and M. M. El-Sharabasy, "Coastal changes along Gamasa beach, Egypt," J Coast Zone Manag, vol. 17, p. 393, 2015.

[6] T. V. Tran and T. B. Trinh "Shoreline change detection to serve sustainable management of coastal zone in Cuu Long Estuary," in International Symposium on Geoinformatics for Spatial Infrastructure Development in Earth and Allied Sciences, 2008.

[7] T. V. Tran, T. X. A. Tien, N. H. Phan, F. Dahdouh-Guebas, and N. Koedam, "Application of remote sensing and GIS for detection of long-term mangrove shoreline changes in Mui Ca Mau, Vietnam," Biogeosciences, vol. 11, pp. 3781-3795, 2014.

[8] K.T. Bui and C. Nguyen "Analyzing Nha Trang coastline changes of Khanh Hoa province using GIS and remote sensing technique (translated),"Journal of Water Resources & Environmental Engineering vol. 63, pp. 120-127, 2018.

[9] H. Q. Nguyen, "Modelling Soil Erosion, Flash Flood Prediction and Evapotranspiration in Northern Vietnam," Doctoral dissertation, Göttingen, Georg-August Universität, Diss., 2016.

[10] L. C. Torres, A. M. Caravaca, I. F. Reyes, E. O. Chang, M. S. Llull, and L. C. Colina, "An Improvement Method to Study the Spatio—Temporal Dynamics of Rancho Luna Beach´ Shoreline Applying Remote Sensing Tools," in Proceedings of the 3rd International Conference on BioGeoSciences, 2022, pp. 69-80.

[11] H. Q. Nguyen, A. T. Vu, T. P. H. Nguyen, T. T. H. Le, M. H. Nguyen, L. A. Vu, et al., "Synthetic aperture radar and optical remote sensing image fusion for flood monitoring in the Vietnam lower Mekong basin: a prototype application for the Vietnam Open Data Cube," European Journal of Remote Sensing, vol. 52, pp. 599-612, 2019.

[12] D. C. Dao, Q. M. Nguyen, T. S. Nguyen, V. C. Nguyen " Research on nearshore wave conditions at nhat le coastal area (quang binh province) by using mike21-sw " Journal of Marine Science and Technology; Vol. 18, pp. 241–249, 2018.

[13] A. T. Vu, T. T. H. Le, and H. Q. Nguyen, "Monitoring Urban Surface Water Bodies Changes Using MNDWI Estimated From Pan-sharpened Optical Satellite Images," FIG Working Week 2019, Hanoi, Vietnam, 2019.

[14] M. Crowell, B. C. Douglas, and S. P. Leatherman, "On forecasting future US shoreline positions: a test of algorithms," Journal of Coastal Research, vol. 13, pp. 1245-1255, 1997.

[15] R. Dolan, M. S. Fenster, and S. J. Holme, "Temporal analysis of shoreline recession and accretion," Journal of coastal research, vol. 7, pp. 723-744, 1991.




DOI: https://doi.org/10.34238/tnu-jst.5409

Refbacks

  • There are currently no refbacks.
TNU Journal of Science and Technology
Rooms 408, 409 - Administration Building - Thai Nguyen University
Tan Thinh Ward - Thai Nguyen City
Phone: (+84) 208 3840 288 - E-mail: jst@tnu.edu.vn
Based on Open Journal Systems
©2018 All Rights Reserved