Title: Webinar on the SAT-FIRE research project - enhancing Earth Observation data using deep learning.
Date: Tuesday 23 June 2020
Time: 09:00 - 12:00
Connection: A Zoom link will be sent to all participants
The aim of the SAT-FIRE (SATellite data Fusion and Imaging Resolution Enhancement for coastal areas) project is to use machine learning and computer vision techniques to improve the resolution and quality of the existing Sentinel-3 thermal satellite imagery using high-resolution Landsat-8 imagery, resulting in better marine current forecasting for the coastal areas, benefiting divers, swimmers, mariners and tracking of debris. In particular, the focus is on Sea Surface Temperature data.
As the project draws to a close, this webinar, targeted at students, academics, public and private entities interested in or already working with Earth Observation data and products, will give an overview of the challenges tackled and the results obtained. These include the work performed in the areas of multi-satellite and multi-resolution image destriping, super-resolution and registration, as well as the validation of the generated high-resolution data with hydrodynamical simulations and in-situ validation.
Agenda as follows:
09:00 - 09:10 - Introduction to the SAT-FIRE project (Dr Ing Gianluca Valentino, Dr Ing Reuben Farrugia)
09:10 - 09:35 - Destriping of Landsat 8 TIRS (Dr David Lloyd)
09:35 - 10:05 - Registration of thermal satellite imagery (Mr Aaron Abela)
10:05 - 10:15 - Break
10:15 - 11:00 - Super-resolution of thermal Sentinel-3 data (Dr David Lloyd)
11:00 - 11:10 - Validation through drone measurements (Dr Ing Gianluca Valentino)
11:10 - 11:55 - Validation of high-resolution hydrodynamical model (Dr Anthony Galea, Ms Ioanna Thoma)
11:55 - 12:00 - Questions and wrap-up
To register for the event, you just have to fill in this form.
Project SAT-FIRE is financed by the Malta Council for Science & Technology for and on behalf of the Foundation for Science and Technology, through the Space Research Fund.