Google Expands Earth AI to Empower Global Action Through Geospatial Intelligence

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Google has unveiled major updates to its Earth AI platform, an advanced geospatial intelligence system built on decades of Earth modeling and powered by the Gemini AI model. Designed to assist enterprises, governments, and nonprofits, Earth AI integrates environmental monitoring, population mapping, and predictive modeling to address some of the world’s most pressing challenges — from disaster response to sustainable development.

A Decade of Geospatial Innovation Meets AI Reasoning

For years, Google’s suite of products like Search, Maps, and Flood Forecasting have been instrumental during natural disasters. Flood forecasts now reach over two billion people, providing vital, early warnings that have saved lives and supported humanitarian organizations such as World Vision, helping them deliver food and clean water to affected regions.

During the devastating California wildfires of 2025, Google issued crisis alerts to 15 million people across Los Angeles, directing them to safe shelters through Maps. These life-saving efforts are driven by the company’s geospatial AI models, which analyze patterns in floods, cyclones, air quality, and other environmental factors.

Now, with Earth AI, Google is combining these individual models into a single intelligent framework. This platform merges Gemini’s reasoning capabilities with Google’s vast environmental datasets, enabling organizations to extract meaningful insights that once required years of complex analytics — now achievable in minutes.

Introducing Geospatial Reasoning: Seeing the Whole Picture

One of the standout advancements in Earth AI is Geospatial Reasoning, a framework that allows AI systems to automatically connect different datasets — such as weather predictions, population density maps, and satellite imagery — to generate holistic insights.

Traditionally, analysts would view these datasets in isolation. Now, through Geospatial Reasoning, AI can analyze how these factors interact, allowing decision-makers to understand who is most vulnerable, what infrastructure is at risk, and where aid should be prioritized.

For instance, the nonprofit GiveDirectly uses this capability to identify flood-affected communities by combining population and flood risk data. This helps them determine who needs financial aid most urgently and how to deploy resources effectively. Google is inviting social impact organizations to sign up as Trusted Testers for Geospatial Reasoning, with further support for nonprofits through Google.org and other non-commercial programs.

Gemini Capabilities Come to Google Earth

Another key update brings Gemini’s intelligence directly into Google Earth, allowing users to ask natural-language questions and receive instant visual insights. Instead of manually scanning satellite imagery, analysts can now simply type queries like “find algae blooms in rivers in the U.S.” and instantly see relevant data mapped across regions.

These new Earth AI models integrated into Google Earth enable rapid pattern recognition — identifying environmental anomalies, detecting changes in river flows, or monitoring vegetation growth.

A practical example is in water management: A utility company can track when a river dries up, anticipate dust storms during droughts, and notify nearby communities ahead of time. Similarly, public health authorities can identify harmful algae blooms that threaten drinking water supplies and issue timely warnings before contamination spreads.

This experimental feature will first roll out in the U.S., accessible to Google Earth Professional and Professional Advanced users in the coming weeks. Meanwhile, Google AI Pro and Ultra subscribers in the U.S. can already access Gemini features in Google Earth with expanded usage limits.

Earth AI Comes to Google Cloud

In a move to integrate Earth AI deeper into enterprise ecosystems, Google is making its Imagery, Population, and Environment models directly available on Google Cloud. Businesses can now use their own proprietary data alongside Google’s global geospatial datasets to address tailored challenges.

These Trusted Testers on Google Cloud will be able to run large-scale analyses, combining company data with Google’s high-resolution imagery and environmental models to predict outcomes or optimize resource allocation. This creates a powerful tool for industries like insurance, utilities, agriculture, and disaster management, where real-time insight into the physical world can significantly reduce risks and costs.

Earth AI in Action: Real-World Impact

The platform is already being piloted by thousands of organizations globally, illustrating its versatility across sectors.

• World Health Organization (WHO AFRO) is using Earth AI’s Population and Environment models, alongside its own health data, to predict cholera outbreak risks in the Democratic Republic of Congo. This insight helps officials plan water sanitation, vaccination campaigns, and crisis interventions more effectively.

• Satellite imagery leaders like Planet and Airbus are integrating Earth AI to process billions of daily images. Planet uses it to map deforestation trends, enabling conservation efforts, while Airbus applies Earth AI to detect vegetation encroachment on power lines, helping utility providers prevent blackouts.

• Alphabet’s moonshot project Bellwether, in partnership with McGill and Partners, is leveraging Earth AI for hurricane prediction analytics. This allows insurance companies to assess damage faster and expedite claim payments, helping homeowners rebuild their lives sooner.

These diverse applications demonstrate Earth AI’s potential as a unified intelligence layer for understanding and protecting our planet. From disease forecasting to energy infrastructure and environmental sustainability, its influence is set to expand rapidly.

A Step Toward AI That Understands the Physical World

Google envisions Earth AI as more than a set of predictive tools — it’s a step toward AI that reasons about the physical world with the same fluency that large language models understand digital information. By bridging the gap between satellite data and real-world decision-making, Earth AI empowers organizations to act faster, smarter, and with greater precision.

As climate challenges intensify and global populations grow, tools like Earth AI could redefine how humanity monitors, protects, and manages the Earth’s resources. The fusion of Gemini’s reasoning power with decades of geospatial expertise positions Google at the forefront of this technological evolution.

“Earth AI represents our commitment to applying AI for social good,” said Yossi Matias, Google’s VP of Engineering & Research and Crisis Response Lead. “We’re building systems that help people understand and respond to real-world challenges — from natural disasters to public health crises — with unprecedented speed and accuracy.”

Conclusion

Google’s Earth AI marks a transformative leap in the integration of artificial intelligence with planetary-scale data. Whether predicting disease outbreaks, mitigating environmental disasters, or ensuring equitable resource distribution, it exemplifies how AI-driven geospatial reasoning can turn data into action — and action into impact.