Long-Term Coastline Dynamics from Landsat 5 and Landsat 8 Multitemporal Images in Thanh Hóa Province, Vietnam

Abstract—In recent years, human activities have had a profound impact on the estuaries and coastal areas of Vietnam, resulting in the active erosion and accretion (enlargement) of the coastline. In this paper, Landsat images for the period of 1988–2022 are used to assess the coastline dynamics of Thanh Hóa Province (North Central Coast). NDWI, ANDWI, MNDWI, AWEInsh, AWEIsh, and BandWet, determined from Landsat images, are used to interpret the water surface. The Otsu threshold method is used to separate “water surface” from “land objects,” and the separation accuracy is then estimated based on the Kappa coefficient. The results showed that the ANDWI index has the highest accuracy in decoding the coastline of the study area; the Kappa coefficient reaches 0.95; and for other indices (NDWI, MNDWI, AWEInsh, AWEIsh, and BandWet), the Kappa coefficient is respectively equal to 0.91, 0.92, 0.93, 0.92, and 0.92. After decoding the water surface boundaries using ANDWI, the vectorization of boundaries and superimposition of vector images on each other are carried out to assess the coastline variability and the construction of a map of the coastline dynamics. It is found that, in the northern part of the coastal zone of Thanh Hóa Province, the active accretion of the coastline is observed. The average accretion rate was 150 m/year; the maximum rate was 457 m/year. On the contrary, on the southern coast of the Thanh Hóa Province, coastline erosion prevails with a maximum rate of 38 m/year and an average rate of about 10 m/year.

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Publication Details

Journal
Izvestiya Atmospheric and Oceanic Physics
Published
2024-12-01
DOI
https://doi.org/10.1134/s0001433824701044
Primary Topic
Flood Risk Assessment and Management
Type
article
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article

Long-Term Coastline Dynamics from Landsat 5 and Landsat 8 Multitemporal Images in Thanh Hóa Province, Vietnam

V. R. Zablotskii, Thi Giang Le, Vinh Tung Le, Trịnh Lê Hùng et al.
Izvestiya Atmospheric and Oceanic Physics
Flood Risk Assessment and Management
article

Long-Term Coastline Dynamics from Landsat 5 and Landsat 8 Multitemporal Images in Thanh Hóa Province, Vietnam

V. R. Zablotskii, Thi Giang Le, Vinh Tung Le, Trịnh Lê Hùng, Van Phu Le, Quoc Vinh Tran, Thi Phuong To, Xuan Bien Tran
article en

Abstract

Abstract—In recent years, human activities have had a profound impact on the estuaries and coastal areas of Vietnam, resulting in the active erosion and accretion (enlargement) of the coastline. In this paper, Landsat images for the period of 1988–2022 are used to assess the coastline dynamics of Thanh Hóa Province (North Central Coast). NDWI, ANDWI, MNDWI, AWEInsh, AWEIsh, and BandWet, determined from Landsat images, are used to interpret the water surface. The Otsu threshold method is used to separate “water surface” from “land objects,” and the separation accuracy is then estimated based on the Kappa coefficient. The results showed that the ANDWI index has the highest accuracy in decoding the coastline of the study area; the Kappa coefficient reaches 0.95; and for other indices (NDWI, MNDWI, AWEInsh, AWEIsh, and BandWet), the Kappa coefficient is respectively equal to 0.91, 0.92, 0.93, 0.92, and 0.92. After decoding the water surface boundaries using ANDWI, the vectorization of boundaries and superimposition of vector images on each other are carried out to assess the coastline variability and the construction of a map of the coastline dynamics. It is found that, in the northern part of the coastal zone of Thanh Hóa Province, the active accretion of the coastline is observed. The average accretion rate was 150 m/year; the maximum rate was 457 m/year. On the contrary, on the southern coast of the Thanh Hóa Province, coastline erosion prevails with a maximum rate of 38 m/year and an average rate of about 10 m/year.

Izvestiya Atmospheric and Oceanic PhysicsVol. 60(9)
Le Quy Don Technical University (VN), Vietnam National University, Hanoi (VN), Hanoi University of Natural Resources and Environment (VN), Vietnam National University of Agriculture (VN), University of Hai Duong (VN), Moscow State University of Geodesy and Cartography (RU), Thai Nguyen University of Agriculture and Forestry (VN)
Life below water
Openalex Percentile: Top 77%
Flood Risk Assessment and Management
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