Tenders Are Invited For Generative Foundation Models For Earth Observation Satellite Measurements Simulation

Tender Detail

97310262
1-12858
Self-Funded
Tenders Are Invited For Generative Foundation Models For Earth Observation Satellite Measurements Simulation
NCB
Europe
European Union,G20
10-07-2025

Work Detail

Tenders are invited for Generative Foundation Models for Earth Observation Satellite Measurements Simulation. Open Date: 29/05/2025 09:41 CET Closing Date: 10/07/2025 13:00 CET Price Range: 500 KEURO Simulation of EO satellite measurements is of utmost importance to develop new applications and facilitate the design of an EO mission prior to the beginning of the operational phase of the mission itself. Current satellite measurement simulators use Radiative Transfer Models (RTMs) for accurate simulation, incorporating physics modeling at the cost of high computing time. The latest advances in the field of Generative Artificial Intelligence (AI) and Foundation Models (FMs), i.e., large models trained on vast amount of data with high generalization capabilities, have enabled the generation of relatively visually realistic EO imagery for variegated tasks. As a result, these advancements could potentially create new opportunities for EO satellite measurement simulations by allowing the generation of data with favourable quality and generation-time trade-offs. They may also simplify the description of mission scenarios through novel conditioning strategies, such as through text or image-to-image translation. However, there has been limited effort to comprehensively generate and validate simulated data measurements to a point that they can support preparatory scientific and instrument sensitivity studies for future mission concepts or missions in development. Because of that, this activity focuses on the development and validation with EO remote sensing experts of an ESA Multimodal Generative Foundation Model for high-quality and fast satellite measurements simulation targeting future ESA EO missions and missions for which limited data is available for EO community. Tender Link : https://esastar-publication-ext.sso.esa.int/ESATenderActions/filter/open

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