THALES SERVICES NUMERIQUES S.A.S (FR)
The one-year ESA project “Super-Resolution Enhanced Sentinel-2 Data for EO Applications and Services” is part of the “EO for Civil Security Applications” activity line of the “Development and Exploitation Component” of ESA’s FutureEO-1 programme (Segment-1) with the main objective to expand uptake of civilian EO capabilities within the wider law enforcement community and civil security stakeholders in particular using super-resolution of Sentinel-2 imagery. The project primarily objective is to extend the use of Sentinel-2 data for EO Applications and Services through the enhancement of spatial resolution of Sentinel-2 products with Deep Learning techniques. Technical objectives are to identify, develop and validate efficient Deep Learning algorithms for resolution enhancement, to assess the performance of super-resolution and the impacts on the considered existing applications of Earth monitoring from satellite imagery with respect to operational constraints in end users application chains.
The consortium gathers recognised experts from the relevant fields of expertise to address the different issues in a consistent way: 1) Thales Services Numériques (France, prime contractor): knowledge of operational uptake for space programs with its rich experience on satellite imagery and Deep Learning techniques; 2) MEOSS (France): Expertise of EO applications and services, strengthening the exploitation of Sentinel-2 for representative use cases from the SCOT de Gascogne and the PETRs of the Pays d´Armagnac, Portes de Gascogne and Pays d´Auch; 3) CESBIO (France): Expertise of EO image data: S2, Venµs, Pleiades.
For this project, the following use cases have been selected to evaluate the contribution of the super resolution:
In practice, all of these potential use cases will be implemented in pilot territories in France South-Western providing various range of landscapes and natural features to be fully representative at European level.
The added value of the Sentinel-2 Super-Resolution will be assessed both from a qualitative and operational points of views. The methodology and technical approach used for this project is as follows: