WAVE CHARACTERISTICS FROM SPARSE DATA WITH IMPLICATIONS TO DERIVE COASTAL BATHYMETRY FROM REMOTE SENSING

Estimating bathymetry through remotely-sensed waves from optical imagery, lidar and radar, is a current major challenge of coastal science and engineering. Dense, abundant and regular dataset are generally required to capture wave characteristics. This seems to be the main limitation preventing the use of satellite remote sensing and other short observation bursts with space or time constraints (Almar et al., 2020). While traditional approaches privilege either space or time sampling, a great advantage can be found in the use of both.