CLOUD-BASED TOOL TO ESTIMATE SHALLOW WATER BATHYMETRY USING SATELLITE OPTICAL IMAGERY

Shallow water bathymetry is crucial for navigation and to understand complex underwater morphodynamic processes in coastal areas. Satellite derived bathymetry (SDB) is an useful methodological approach that have the potential to overcome limitations of traditional in-situ approaches, namely the limited spatial coverage and costs related with the repetitiveness. In the present work we present a new tool, the CASSIE Bathymetry module, that enables SDB, based on optical inversion approach, to be applied at any coastal region of the world. To implement this tool, user require a minimal training dataset of observed depths, that is used to calibrate the SDB algorithm and to estimate errors of the estimated depths. This new tool is freely accessible via www.cassiengine.org.