Monitoring Coastal Erosion and Deposition in Sam Son City, Vietnam – a Contribution from Remote Sensing Data

  • Lan Thi PHAM Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam https://orcid.org/0000-0003-3982-1896
  • Dung Kim LE Hong Duc University, Thanh Hoa, Vietnam
  • Son Si TONG Department of Space and Applications, Vietnam France University, Hanoi, Vietnam
  • Ha Thi Thu LE Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam
Keywords: erosion, deposition, remote sensing, DSAS, Sam Son

Abstract

Studying the trends in shoreline erosion and accretion is essential for a wide range of investigations conducted by coastal scientists,
and coastal managers. Shoreline erosion and accretion occur as a result of both natural and human influences. Some areas along
shoreline in Sam Son are eroded and deposed by natural coastal processes and human actions, such as storm, wave, tourism activities.
Purpose of this work is to study the erosion and deposition in Sam Son over 33 years (1989–2022). Coastlines were extracted using
multi-temporal Landsat images, and the shoreline change rate was determined using Digital Shoreline Analysis Systems (DSAS). The
results of this paper inlustrated that the shoreline change in Sam Son undergoes significant and varied fluctuations across different
areas. At the Hoi estuary, erosion rates vary from -2.22 m/year to -40.32 m/year. The construction of FLC Sam Son is one of the factors
contributing to sedimentation loss in the northern part of Sam Son City, which is situated adjacent to the East Sea and next to the
Ma River. Furthermore, the accretion rate has strongly increased, reaching 9.7 m/year in the Do River estuary. The phenomenon of
sediment deposition serves as the basic for constructing hotels to cater to tourism in Sam Son.

Published
2024-07-25
How to Cite
PHAM, L. T., LE, D. K., TONG, S. S., & LE, H. T. T. (2024). Monitoring Coastal Erosion and Deposition in Sam Son City, Vietnam – a Contribution from Remote Sensing Data. Test, 2(1), 79–88. https://doi.org/10.29227/IM-2024-01-96