Development of a detailed bathymetry map of the Nhat Le estuary, Quang Binh province by remote sensing image treatment

Multispectral remote sensing images with the advantages of low cost, wide area coverage, and increased resolution have been widely used recently for determining the bathymetry of coastal waters. In this study, the correlation equation is developed based on the Landsat 8 OLI satellite images captured on September 22, 2022, and the survey data measured during the time period of September 12–22, 2022, was used for mapping bathymetry in the Nhat Le Estuary area, Quang Binh Province, a relatively clear area from sediment. The correlation between the image and the field survey data is quite good, with R2 = 0.88. This shows that Landsat 8 OLI data is suitable for mapping sea areas with depths up to 20 m.

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Publication Details

Journal
Vietnam Journal of Mechanics
Published
2024-09-04
DOI
https://doi.org/10.15625/0866-7136/20660
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a detailed bathymetry map of the Nhat Le estuary, Quang Binh province by remote sensing image treatment

Nga Nhu Le, Nguyen Thi Viet Lien, Trịnh Thị Thủy, Le Thi Hong Van et al.
Vietnam Journal of Mechanics
Remote Sensing and LiDAR Applications
article

Development of a detailed bathymetry map of the Nhat Le estuary, Quang Binh province by remote sensing image treatment

Nga Nhu Le, Nguyen Thi Viet Lien, Trịnh Thị Thủy, Le Thi Hong Van, Dang Song Ha, Le Huong
article en

Abstract

Multispectral remote sensing images with the advantages of low cost, wide area coverage, and increased resolution have been widely used recently for determining the bathymetry of coastal waters. In this study, the correlation equation is developed based on the Landsat 8 OLI satellite images captured on September 22, 2022, and the survey data measured during the time period of September 12–22, 2022, was used for mapping bathymetry in the Nhat Le Estuary area, Quang Binh Province, a relatively clear area from sediment. The correlation between the image and the field survey data is quite good, with R2 = 0.88. This shows that Landsat 8 OLI data is suitable for mapping sea areas with depths up to 20 m.

Vietnam Journal of Mechanics
Vietnam Academy of Science and Technology (VN)
Vietnam Academy of Science and Technology
Life below water
Openalex Percentile: Top 86%
Remote Sensing and LiDAR Applications
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