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As Greece embraces a green energy transition, the potential of solar energy in its cities, especially via rooftop photovoltaic (PV) installations, has come to the forefront.

Climate change is continuously on the rise and extreme weather events like heavy rainfall are becoming more frequent, leading to problems such as floods, landslides, and soil erosion.

Self-supervised learning on large-scale satellite data has gained interest for creating Earth observation (EO) foundation models

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.

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.

While there has been continuous earth foundation model developments in recent years, there are still large gaps in existing benchmarks. ThinkingEarth aims to address these gaps while also harnessing the power of Artificial Intelligence and Copernicus Foundation Models.

Solar energy has become a popular topic in recent years. But such high demand has created challenges within the sector. ThinkingEarth aims to contribute to solar energy solutions across Europe.