DETERMINING SEASONAL SEAFLOOR DEPTH CHANGES AROUND OFFSHORE ISLANDS OF VIETNAM USING SENTINEL-2 AND GOOGLE EARTH ENGINE

This study focuses on determining bathymetric changes around offshore islands of Vietnam using remote sensing data available on the Google Earth Engine (GEE) cloud platform. Sentinel-2 multispectral satellite imagery was collected over three time periods, January 14, 2020, June 5, 2020 and June 15, 2021, coinciding with the wind season to analyze and calculate bathymetric changes. The results of the bathymetry compared to the field measurement points have coefficients of determination (R2) ranging from 0.83 to 0.94. The RMSE (Relative Mean Square Error) results obtained were 0.066 m, 0.048 m and 0.079 m, initially providing a map of seasonal bathymetry changes consistent with reality. This method demonstrates the efficiency and automation potential for tracking depth changes in the Vietnamese coastal region, especially around offshore islands. Moreover, it highlights the importance of continuous monitoring for environmental protection, navigation, and resource management.

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Publication Details

Journal
Journal of Science and Technique
Published
2024-12-31
DOI
https://doi.org/10.56651/lqdtu.jst.v7.n02.897.sce
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
0.00

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article

DETERMINING SEASONAL SEAFLOOR DEPTH CHANGES AROUND OFFSHORE ISLANDS OF VIETNAM USING SENTINEL-2 AND GOOGLE EARTH ENGINE

Nghia Nguyen
Journal of Science and Technique
Oceanographic and Atmospheric Processes
article

DETERMINING SEASONAL SEAFLOOR DEPTH CHANGES AROUND OFFSHORE ISLANDS OF VIETNAM USING SENTINEL-2 AND GOOGLE EARTH ENGINE

Nghia Nguyen
article en

Abstract

This study focuses on determining bathymetric changes around offshore islands of Vietnam using remote sensing data available on the Google Earth Engine (GEE) cloud platform. Sentinel-2 multispectral satellite imagery was collected over three time periods, January 14, 2020, June 5, 2020 and June 15, 2021, coinciding with the wind season to analyze and calculate bathymetric changes. The results of the bathymetry compared to the field measurement points have coefficients of determination (R2) ranging from 0.83 to 0.94. The RMSE (Relative Mean Square Error) results obtained were 0.066 m, 0.048 m and 0.079 m, initially providing a map of seasonal bathymetry changes consistent with reality. This method demonstrates the efficiency and automation potential for tracking depth changes in the Vietnamese coastal region, especially around offshore islands. Moreover, it highlights the importance of continuous monitoring for environmental protection, navigation, and resource management.

Journal of Science and TechniqueVol. 7(02)
Le Quy Don Technical University (VN)
Le Quy Don Technical University
Life below water
Openalex Percentile: Top 75%
Oceanographic and Atmospheric Processes
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DETERMINING SEASONAL SEAFLOOR DEPTH CHANGES AROUND OFFSHORE ISLANDS OF VIETNAM USING SENTINEL-2 AND GOOGLE EARTH ENGINE — Nghia Nguyen · Journal of Science and Technique (2024) | TGRS Research Map | TGRS