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Success Story – Solving the Space Data Puzzle

How LEONSEGS is connecting Europe’s orbit 

The current situation in the skies is complicated. Europe has the large Sentinel satellites working alongside a new wave of New Space startups. These private companies are characterised by “faster” satellites, not necessarily in orbital velocity, but in time-to-orbit, allowing for more rapid deployment of new technology. While this ecosystem is impressive, there is a major catch. These systems often speak different digital languages. For a scientist or a business owner trying to combine data, it feels like trying to finish a jigsaw puzzle where the pieces come from ten different boxes. They simply do not fit together. 

The Goal: A Digital Bridge for Space 

The LEONSEGS project has a clear objective. It is about ending the data silo problem. The project is building a federated platform that acts as a digital bridge for European space data. 

Instead of a researcher needing ten different accounts and ten different technical setups, LEONSEGS aims to provide one automated hub. This hub handles the complex handshakes between different missions behind the scenes. The person using the data just gets what they need in a language they can actually use. 

The Breakthrough: Proving it Works (TRL 6) 

A major milestone is within reach as technical trials continue. The core architecture is currently being tested to prove that disparate systems can link together via a single interface. 

We are currently working toward TRL 6 (Technology Readiness Level 6). At this stage, the federated concept is being demonstrated in a relevant environment. This is a critical step in showing that automated orchestration can handle data from various satellite providers simultaneously, paving the way for future operational use. 

What This Changes 

Clearing these technical hurdles opens the door to a more integrated European space sector. By streamlining how we access data, we can enhance several key areas: 

  • Agricultural Monitoring: Radar and optical data from different satellites can be combined to continually monitor crop development using the best available combination of sensors. 
  • Semantic EO Image Retrieval: Users can semantically query different satellite databases to find the best matching images based on actual content, such as specific land features or environmental markers, rather than just metadata. 
  • Support for Startups: Smaller European companies can get their data to the right users without the need to build massive, expensive ground infrastructure from scratch. 

 

This progress shows that the LEONSEGS vision can be a reality. Scattered puzzle pieces are finally being assembled into a clear, unified view of our planet. 

 

Stay tuned for more updates as the project moves toward its results.