Coastal areas are constantly under a multitude of pressures resulting from different natural forces. The ability to reliably track and measure the nearshore bathymetry over time is critical for a wide array of applications including coastal development and management, coastal risk monitoring and mitigation, coastal science studies, among others. Performing in-situ bathymetric measurements is challenging and expensive and not always possible due to a variety of reasons.

Remote sensing tools have recently become an important tool to collect different types of data that allows the monitoring of ocean waves in coastal areas. One of those tools is the European Space Agency's (ESA) Sentinel-2 Satellite constellation. The Sentinel-2 constellation is an Earth Observation (EO) mission composed of two twin satellites flying in the same orbit that are phased at 180°, designed to provide a global revisit frequency of 5 days.

In this competition, satellite imagery provided by the Sentinel-2 mission is coupled with bathymetry survey data (from The French Naval Hydrographic and Oceanographic Service and The European Marine Observation and Data Network) in order to train an AI-based bathymetry inversion model.