Scientific Publications

This section showcases the scientific contributions, conference presentations and open-access resources produced within the MESEO project. It highlights the project’s research activities, technological developments and results to the Earth Observation community.

Conference Papers and Presentations

GMV – VI Congreso de Ingeniería Espacial

GMV submitted an abstract that was accepted for presentation at the VI Congreso de Ingeniería Espacial, held in Madrid, Spain, from 23 to 25 June 2026. The conference provided an important opportunity to share MESEO’s vision and technological developments with the international space engineering community.

Paper title:
MESEO: Multi-Mission Efficient and Secure High-Capacity End-to-End Earth Observation System for Distributed Processing

Paper Abstract: [Download the PDF]

SISTEMA – 22nd International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-22)

SISTEMA participated in the 22nd International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-22), held in Bonn, Germany, from 29 June to 2 July 2026.

SISTEMA presented a poster entitled:
Deep Learning for Methane Plume Detection from Sentinel-2 Imagery: A Data-Efficient Approach

The poster was accepted in the session “Retrieval Algorithms, Priors and Products”.

It introduced the MESEO project, providing an overview of its objectives and approach before focusing on the technical aspects of the deep learning model developed for methane plume detection. The presentation attracted interest from several organisations, particularly regarding the potential of on-board processing to enhance or even perform methane detection directly on satellite platforms, as well as the opportunities to exploit the reference dataset developed within the project beyond its original scope.

UNIFE – 2nd EO for Soil Symposium

UNIFE submitted an abstract that was accepted for presentation at the 2nd EO for Soil Symposium: ESA Symposium on Earth Observation for Soil Protection and Restoration, taking place in Frascati, Rome, Italy, from 4 to 6 November 2026.

The contribution focuses on the use of deep learning techniques for large-scale crop classification, addressing computational efficiency and scalability within the MESEO framework.

Paper title:
Energy-Efficient Crop Classification at Scale Using AgrUNet: A Multi-GPU Deep Learning Approach Within the MESEO Project

Paper Abstract: [Download the PDF]

Presentation: [Download the PDF]

Reference:
This publication presents preliminary work that served as a foundation for the research carried out within the MESEO project.
Access the related scientific publication on IEEE Xplore

Open Access Publications

1. MESEO featured in the CORDIS Results Pack on Earth Observation Technologies

Discover MESEO’s contribution to the European Commission’s CORDIS Results Pack, highlighting innovative approaches to tackling bottlenecks in Earth Observation data delivery.

Read the article on CORDIS

2. MESEO’s First Key Exploitable Result on the EU Innovation Platform

Explore MESEO’s first Key Exploitable Result (KER), published on the European Union Innovation Platform. This milestone highlights the project’s innovation potential and its contribution to the development of advanced Earth Observation solutions.

Discover MESEO’s first Key Exploitable Result on the EU Innovation Platform