Copernicus Foundation Models for a Thinking Earth
At ThinkingEarth, we view the Earth as a complex unified and interconnected system.
To harness the power of Artificial Intelligence (AI), we use cutting-edge techniques, including deep learning, causality, eXplainable AI, and physics-aware Machine Learning. We leverage the predictive abilities of Self-Supervised Learning and Graph Neural Networks to develop task-agnostic Copernicus Foundation Models and a Graph representation model of the Earth.
Use cases
Four Use Cases are being developed under ThinkingEarth, demonstrating socio-environmental impact and new business growth opportunities in the energy production, biodiversity monitoring and food security sectors.
Newsroom
Welcome to the ThinkingEarth newsroom. Here you will find the latest news, publications, and materials.
News Item
3 October 2026
Projected socioeconomic benefits of ThinkingEarth use cases
Discover how the ThinkingEarth project combines Earth Observation data and AI to deliver projected socioeconomic benefits, from reducing energy and urban monitoring costs to improving forest carbon assessments and food security interventions.
Consortium
The ThinkingEarth consortium is a collaboration between research institutions, SMEs, industry partners, and end-user organisations.
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Partners
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