Testing the Generalize Empirical Coefficient from Multispectral Satellite-Derived Bathymetry Over Indonesia Shallow Water

Satellite-derived bathymetry (SDB) is an efficient alternative to conventional techniques. Several past studies have proposed the use of multispectral imagery and extracted empirical coefficient from different datasets. This study used a large dataset of six sites across Indonesia coastal to evaluate the performance of those empirical generalized coefficients. The methodology involves seven steps: atmosphere-correcting TOA reflectance, calculating transformed reflectance, combining bathymetry survey, separating datasets, building least-square models, applying models, and testing accuracy tests. The best performance is achieved at shallow depths, with a median RMSE of 0.7-1.7 meters. The accuracy is low at shallow depths, improving at depths 7-9 meters.