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MESEO · Project

High-Speed Satellite Data Processing System for Faster Earth Observation Insights

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Imagine if satellites could think and filter data before sending it back to Earth, rather than dumping huge files that take forever to download. This system acts like a smart filter and a fast-track delivery service for space images. It ensures the right data gets to the right place quickly while keeping the information secure and private.

By the numbers
9
consortium partners
6
total deliverables
The business problem

What needed solving

Earth observation generates massive amounts of data that create bottlenecks during transmission and processing. This leads to slow reaction times and high power consumption for satellite operators.

The solution

What was built

A prototype for an end-to-end EO system featuring on-board processing, a sovereign cloud architecture, and a coordinator center to manage distributed processing functions.

Audience

Who needs this

Satellite operatorsEnvironmental monitoring agenciesAgricultural data analytics firmsSovereign cloud providers
Business applications

Who can put this to work

Agriculture
SME
Target: Precision farming service provider

If you are a farming service provider dealing with slow crop health updates — this project developed a processing chain for crop classification that speeds up the time from image capture to usable data.

Environmental Monitoring
enterprise
Target: Climate compliance auditor

If you are a compliance auditor dealing with the need for rapid methane leak detection — this project developed a specialized use case for methane monitoring that reduces communication bandwidth and improves reactivity.

Cloud Computing
mid-size
Target: Sovereign cloud infrastructure provider

If you are a cloud provider dealing with strict data residency laws for space data — this project developed a sovereign cloud architecture using Function-as-a-Service to keep data processing secure and controlled.

Frequently asked

Quick answers

What is the cost or pricing for implementing this system?

Based on available project data, no specific pricing or cost structures are provided as the project is currently in the design and prototyping phase.

Can this be scaled to an industrial level?

Yes, the project specifically aims to design a scalable multi-mission system for massive processing to overcome performance bottlenecks on board and on ground.

Who owns the IP and what are the licensing terms?

Based on available project data, licensing terms are not specified, but the system emphasizes data sovereignty and an open, flexible architecture.

How does this integrate with existing ground stations?

It uses harmonized interfaces and a Function-as-a-Service model to allow different processing functions to be registered and activated by an EO Coordinator Centre.

What is the timeline for deployment?

The project period runs from 2023-12-01 to 2026-11-30, indicating it is currently in the development and demonstration phase.

Consortium

Who built it

The consortium is heavily industry-driven with an 89% industry ratio, consisting of 8 companies and 1 university. With 6 SMEs involved across 7 European countries, the project is well-positioned for commercial translation, led by a major aerospace player, GMV.

How to reach the team

Contact GMV AEROSPACE AND DEFENCE SA for technical partnership inquiries.

Next steps

Talk to the team behind this work.

Contact us to identify potential licensing opportunities for this EO processing technology.