Research on assessing Sentinel 2 to estimate coastal water depth in the region of Phu Tan – Tan Phu Dong – Tien Giang
DOI:
https://doi.org/10.5281/zenodo.18788372Keywords:
Multivariate Regression, Water Depth, Coastal Water, Sentinel - 2Abstract
The coastal zone represents not only a geographical interface between land and sea but also plays a strategic role as a gateway for maritime trade and a catalyst for international economic integration. Among the key geospatial variables, bathymetric information is particularly significant for the development of inland waterway transport networks and the planning of aquaculture zones. Although several high precision methods such as LiDAR bathymetry and sonar have been widely applied, their operational costs remain considerably high. In this context, satellite remote sening, particulartly the use of multispectral imagery, offers a promising and cost-efective alternative for estimating shallow-ưater bathymetry in coastal areas. The availability of Sentinel-2 data, featuring 13 spectral bands, not only ehances the capabilities of natural resource monitoring and management but also opens new avenues for reasearch and application. This study utilizes Sentinel -2 data in combination with band ration and multivariate regression algorithms for bathymetric estimation. Among the tested approaches, the multivariate regression model achieved the highest performance, with a coeficient of determination R2 equals 0.9047, in the experiemental area of Phu Tan commune, Tan Phu Dong district, Tien Giang province
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