The main objectives of this project are:
- to improve the spatial resolution of sea surface temperatures measured by Sentinel-3 using deep learning and ground truth from Landsat 8;
- to improve the registration of multi-resolution thermal images acquired by different satellites;
- to validate high resolution hydrodynamical models for current forecasting using the generated high resolution SST data.
This will allow for more accurate predictions of marine currents, aiding divers, search and rescue operations and coastal monitoring. This is an interdisciplinary project which lies at the intersection of satellite image processing, remote sensing, data fusion and hydrodynamical modelling.
Project SAT-FIRE financed by the Malta Council for Science and Technology, for and on behalf of the Foundation for Science and Technology, through the Space Research Fund.