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.

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UC1

Energy communities: Distributed solar energy production forecasting and demand management

UC2a

Biodiversity monitoring in urban environment

UC2b

Forest biomass monitoring: carbon sink assessment for the carbon credit industry

UC3

Causal inference for food insecurity analysis

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Newsroom

Welcome to the ThinkingEarth newsroom. Here you will find the latest news, publications, and materials.

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ThinkingEarth’s role in the Causal Impact of Humanitarian Aid on Food Security

News Item

30 July 2024

ThinkingEarth’s role in the Causal Impact of Humanitarian Aid on Food Security

As climate change causes more droughts, vulnerable regions face serious food shortages, increasing the need for humanitarian aid. Communities that rely on rainfall for crop growth are especially at risk and prone to economic loss, risk of malnutrition and famine and subsequent devastating loss.

ThinkingEarth for Solar Energy Applications

News Item

29 June 2024

ThinkingEarth for Solar Energy Applications

New and innovative ideas on how to harness the power of solar energy are consistently cropping up. One such challenge however is the optimal planning of photovoltaic (PV) installations on existing building rooftops.