SO1 – Analyse bottlenecks in existing EO end-to-end+ systems
MESEO has performed a comprehensive assessment of current EO end-to-end systems to identify the main performance bottlenecks affecting satellite image acquisition, onboard processing, data downlink and ground processing. This analysis covers both upstream and downstream segments of the EO value chain and will establish the baseline against which the project innovations and performance improvements will be evaluated.

SO2 – Improve EO processing performance through innovative technologies
MESEO develops and integrates innovative technologies across the upstream (Space), midstream and downstream (Ground) segments of the EO processing chain. These innovations include AI-based onboard image processing, advanced payload data handling, optimised satellite communications, cloud-native processing environments and AI-enhanced ground processing systems. The objective is to improve processing efficiency, responsiveness, scalability and resource optimisation while reducing communication bandwidth and energy consumption.

SO3 – Develop a modular and collaborative EO architecture
MESEO prototypes a modular and loosely coupled EO architecture integrating collaborative Space (Upstream) and Ground (Midstream and Downstream) segments into a distributed system of heterogeneous systems. Based on a microservices and Function-as-a-Service paradigm, the proposed architecture supports adaptable, scalable and reconfigurable EO processing workflows across multiple missions, infrastructures and service providers.

SO4 – Define harmonised interfaces for collaborative EO processing
MESEO specifies and prototype harmonised interfaces enabling seamless interoperability between EO missions, sensors, processing functions and service providers. These interfaces facilitate the orchestration and dynamic allocation of distributed processing resources within an open and collaborative ecosystem, ensuring transparent integration and efficient end-to-end EO data processing.

SO5 – Ensure secure and sovereign EO data processing
MESEO develops cybersecurity components and trusted data exchange mechanisms to guarantee secure and sovereign EO data processing across distributed and hybrid cloud environments. The project implements trusted connectors, advanced identity and access management mechanisms, and policy-based data governance solutions to ensure data integrity, secure transactions and compliance with European data sovereignty requirements.

SO6 – Demonstrate performance enhancements through real use cases
MESEO validates and demonstrates the proposed innovations through two pilot applications aligned with the European Green Deal: methane emissions monitoring and crop classification. These demonstrations assess the impact of the MESEO technologies in operational conditions, showcasing improvements in processing speed, near-real-time responsiveness, scalability, data quality and overall end-to-end system performance.

SO7 – Foster market uptake and stakeholder adoption
MESEO will implement a comprehensive communication, dissemination and exploitation strategy to promote the adoption of its open collaborative EO ecosystem and Processing Functions paradigm. The project will engage industrial stakeholders, research organisations, public authorities and end users through workshops, demonstrations, awareness-raising activities and exploitation planning, supporting the long-term sustainability and market uptake of the proposed solutions.