Google Earth AI: Unprecedented planetary understanding
Earth AI is a powerful collection of geospatial AI models and reasoning designed to address critical global challenges; it gives users an unprecedented level of understanding about what is happening across the planet.
For years we’ve been developing state-of-the-art geo-spatial AI models including floods, wildfires, cyclones, air quality, pollen, weather nowcasting and long range forecasting, agriculture, population dynamics, AlphaEarth Foundations and mobility. These models, developed by teams across Google, are already helping millions of people worldwide and we keep making progress. We have just expanded access to our new Remote Sensing Foundations and new global Population Dynamics Foundations. And we can now share that our riverine flood models — expanded over the years to cover 700 million people in 100 countries — now provide forecasts covering over 2B people in 150 countries for significant riverine flood events.
Earth AI is a Google-wide program building on our long-standing efforts. Our latest research updates to Earth AI integrate and synthesize these vast amounts of real-world imagery, population and environmental data. Using LLMs and their reasoning capabilities, the Earth AI geospatial reasoning agent can understand nuanced concepts and discover correlations across multiple datasets and models. This agent allows users to ask complex questions and receive answers in plain language, making Earth AI capabilities accessible even to non-experts. Users can quickly generate insights from business logic use cases and supply chain management to crisis resilience and international policy.
In our evaluations, Geospatial Reasoning Agent improved responses over baseline models that did not have access to Earth AI models and tools. We share the results in our research blog and our technical report.
Google Earth with Gemini capabilities will soon be powered by our Earth AI imagery models, enabling users to search for objects in satellite imagery. Plus, our powerful models are now available to trusted testers on Google Cloud. And we continue to hear from our partners about diverse important use cases, including testimonials from Give Directly, McGill and Partners, Cooper/Smith, WPP, WHO AFRO, Planet Labs and Airbus.