LARGE EARTH OBSERVATION NEW SPACE ECOSYSTEM GROUND SEGMENT

Digital, Industry & SpaceHORIZON-IAID: 101082493
EC Contribution
€21,438
Consortium Size
7 orgs
Start Year
2023
Summary

LEONSEGS is a federated environment (called Multi-mission Earth Observation Ground Segment Service Platform) of EO data providers that collaborate all together through harmonized interfaces and that are managed by a central automated multi-mission service, able to coordinate and produce for the End-User complex EO product. There are different types of EO data providers: EO products provider (like for instance existing EO constellation operators that offer their data and products) and EO satellite constellations (satellites that are managed by a Ground Segment as a Service –GsaaS- solution, and that allows not only access to data and products but tasking of future acquisitions).The proposed multi-mission ground segment shall federate New Space players supporting the heterogeneity of the New Space ecosystem through harmonized interfaces for each profile, and especially with:-New Space stakeholders which need or wish to externalize their ground segment infrastructures.-EO existing products providers with their own space and ground segment willing to access to the market that this infrastructure will offer.LEONSEGS is a multi-disciplinary fully complementary consortium. GMV has an extensive experience in coordinating international collaborative research projects and is the world-wide leader in ground segments. PLUS is a highly reputed academic partner with a cut-of-the-edge experience on EO processing. AISTECH is a New Space player in EO, operating a proprietary constellation. F6S is one of the best companies with expertise on community building, dissemination & communication, especially for engaging with stakeholders; F6S runs actually a world community platform with more than 4.5mil users and approximately 1.5 mil tech-startups.

Consortium (7)

Project Results (11)

Source: CORDIS, the EU research results database.

Publications (4)
An Approach for the Semantic Enrichment of Sentinel-1 Imagery Suitable for Large-scale Analysis
Presented at the 43rd EARSeL Symposium, Manchester· 2024
McQuade, Luke, Sudmanns, M., Tiede, D.
One-layer RGB representation of big EO data analyses for supporting the visual communication of multi-temporal change detection
Presented at the 43rd EARSeL Symposium, Manchester· 2024
Tiede, D., Augustin, H., Strasser, T., Reichel, S., Kerschbaumer, M., Měchurová, K., Sudmanns, M.
Semantic World – A Novel Benchmark Dataset for Semi-Supervised Semantic Segmentation
Presented at the 43rd EARSeL Symposium, Manchester· 2024
Kröber, Felix, Tiede, Dirk, Baraldi, Andrea, Lefèvre, Sébastien
An advanced framework for semantic querying of the Dynamic World dataset
Big Data from Space 2023· 2023DOI
Sudmanns, M., Ligono, L., Augustin, H., van der Meer, L. & Tiede, D.
Deliverables (7)