Generalized Depth Estimation Formula for Shallow Water Using WorldView Satellite Images

Abstract

Many studies have been conducted on satellite derived bathymetry in shallow water, and most of them use training bathymetry data to obtain a regression formula for depth estimation. However, it is not efficient in practical use to collect training bathymetry data for each satellite image. In this study, we developed on a generalized depth estimation model. A depth estimation model which is widely applicable was created using satellite images and training bathymetry data in variable coastal waters. The accuracy of the estimated depth derived by the model was evaluated using the cross-variation method.