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
1 September 2026
ThinkingEarth Talks: UC2B
For this edition of ThinkingEarth Talks, we sat down with Globeeye's Sarbani Bhadra to discuss Use Case 2b: Forest biomass monitoring: carbon sink assessment for the carbon credit industry. Check out the interview below!
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