EO Coordination Centre & Ground Processing

Intelligent Processing Beyond the Mission

Conventional Earth Observation systems typically process satellite data within mission-specific ground segments, creating isolated processing chains that are difficult to scale, integrate or and reuse across multiple missions.

MESEO introduces a distributed ground processing framework where processing functions become interoperable services that can be executed across different infrastructures according to operational needs.

At the centre of this framework is the Earth Observation Coordination Centre (EOCC), which acts as the intelligent orchestration layer of the MESEO ecosystem, coordinating satellite missions, ground processing centres, external data providers and processing services through a single federated environment.

Users do not need to know where data is located or which processing chain should be executed. The EOCC automatically discovers available resources, orchestrates distributed workflows and delivers the requested Earth Observation products through a unified service interface.

This service-oriented architecture enables distributed processing, multi-mission interoperability, Function-as-a-Service execution and secure collaboration while preserving operational independence and data sovereignty.

The result is a scalable processing ecosystem capable of integrating heterogeneous missions, external providers and advanced AI services into a single coordinated operational environment.
Processing services are exposed as Function-as-a-Service components and orchestrated by the EO Coordination Centre, enabling execution across PDGSs, the EOCC and external providers.

KER 1 — Sovereignty Cloud-based EO Coordination Centre Prototype

KER 2 — Space Domain EDC-based Connector

KER 6 — On-ground L2 Products

KER 7 — On-ground AI Training Dataset

The intelligent orchestration platform that coordinates distributed processing, service discovery, workflow execution and data fusion across multiple Earth Observation missions.

A secure Data Space connector enabling trusted data exchange, policy enforcement and sovereign collaboration between independent organisations participating in the MESEO ecosystem.

Advanced processing services generating higher-level Earth Observation products through distributed AI processing, data fusion and thematic analytics executed across the ground segment.

Representative training and validation datasets supporting the development, benchmarking and verification of AI models used for thematic Earth Observation services, including methane detection and crop classification.