What does this research mean for the field?

Artificial Intelligence and big data technologies can effectively manage and analyze large volumes of Copernicus data for applications in Food Security and Polar regions. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The project aims to innovate AI and big data technologies to manage large volumes of Copernicus data.

March 16, 2026Open Access

Artificial Intelligence and big data technologies for Copernicus data:The EXTREMEEARTH project

Key Points

The project aims to innovate AI and big data technologies to manage large volumes of Copernicus data.
Conducted a three-year research project under H2020 funding
Focused on developing scalable technologies for data processing
Applied innovations in specific ESA thematic platforms: Food Security and Polar.
Developed frameworks to effectively handle Copernicus data
Improved data analytics capabilities in Food Security and Polar themes.
Enhanced accessibility and usability of large-scale environmental data for stakeholders.

Abstract

ExtremeEarth is a three-year H2020 ICT research and innovation project. Its main objective is to develop Artificial Intelligence and big data technologies that scale to the large volumes of big Copernicus data, information and knowledge, and apply these technologies in two of the European Space Agency (ESA) Thematic Exploitation Platforms (TEP): Food Security and Polar.

Artificial Intelligence and big data technologies for Copernicus data:The EXTREMEEARTH project

Key Points

Abstract

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