The new Sentinel data, together with existing satellite measurements, are supporting a much needed spatial structure to complement the temporal variability captured by in-situ timeseries.

The CEASELESS project has applied the new Sentinel data to selected pilot sites to allow for efficient testing of unstructured grids to better capture coastline irregularities and sea bed geometry and forms.

The pilot sites will allow for more efficient analysis approaches globally, and more specifically in the North Sea and Mediterranean Sea. This serves as proof of concept for the role that coastal processes play in the meteo-oceanographic predictions and the importance of combining in-situ data with satellite measurements for restricted coastal domains.

In CEASELESS, DHI GRAS is acting as the optical remote sensing expert providing Sentinel-2 based satellite-derived bathymetry , water quality data and information on coastal dynamics. Tied up in a cloud-based processing environment a truly scalable approach has been designed capable of delivery of large-scale coverage globally.