Abstract
The depth map is a thermatic map showing information aboutdepth of seafloor. Currently, Vietnam has been applying a new technologies to generate thedepth map by using multiple or single-beam detectors. However, this methodrequires a an expensive investment in both technology and technicians. Thedepth measurement using satellite images was published by Stumpf in 2013. Thedepth measurement method of this research group uses the ratio between Blueband and Green band, and the rate reduction from these two channels willgenerate a reflex ratio model. With increasing depth, the spectral reflectiondecreases faster in the high absorption band (green) than the lower absorptionband (blue), so the variables in the corresponding channel ratio change withdepth. The research objective of this paper is to introduce a new and improvedmethod based on the combination of Stumpf algorithm and machine learning methodin determining the depth of seafloor in offshore islands by remote sensing. Theresults of the study have shown that the methodology of the topic together withthe Sentinel - 2A image can meet the depth mapping of 1 / 10,000 and theability to perform up to a depth of 10 m underwater.
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