Automated Global Shallow Water Bathymetry Mapping Using Google Earth Engine

Global shallow water bathymetry maps offer critical information to inform activities such as scientific research, environment protection, and marine transportation. Methods that employ satellite-based bathymetric modeling provide an alternative conventional shipborne measurements, offering high spatial resolution combined with extensive coverage. We developed automated mapping approach based on the Sentinel-2 surface reflectance dataset in Google Earth Engine. created a new method for generating clean-water mosaic tailored automatic estimation algorithm. then evaluated performance of models at six globally diverse sites (Heron Island, Australia; West Coast Hawai?i Hawai?i; Saona Dominican Republic; Punta Cana, St. Croix, United States Virgin Islands; The Grenadines) using 113,520 field sampling points. Our derived accurate waters, Root Mean Square Error (RMSE) values ranging from 1.2 1.9 m. This automatic, efficient, robust was applied map global scale, especially areas which have biodiversity (i.e., coral reefs).