GOOGLE EARTH AI

Transform planetary information into actionable intelligence

Built on years of modeling the world and Gemini’s advanced reasoning, Earth AI is helping enterprises, nonprofits, and cities with everything from environmental monitoring to disaster response.
Breakthroughs in understanding the Earth that previously required complex analytics and years of iteration are now made possible in a matter of minutes.
You Ask, Earth Answers
Earth AI models power features used by billions, and provide actionable insights in Google Earth, Google Maps Platform, and Google Cloud.
The global partners forging the future with Earth AI
Our partners have been using Earth AI models to help with critical business decision making for multiple years. These featured partners are using the latest Earth AI models and datasets.

For years, we’ve been building models about the world, including floods, wildfires, air quality, and cyclones, providing trusted information to billions of people and organizations. For example, our flood forecasting — information now covering more than two billion people — provides life-saving forecasts before significant river floods.

Explore geospatial analytics on Google Cloud's Vertex AI platform

To deliver actionable, location-aware intelligence, Vertex AI is designed for native grounding using Google Maps' unique, high-fidelity data. This capability instantly contextualizes your AI applications and agents with information on over 250 million places, providing the local and geospatial insights necessary for accurate modeling, resilient operations, and informed decision-making in the physical world.

Try in Vertex AI

Imagery

Unifying remote sensing data with cutting-edge AI for diverse geospatial analysis and forecasting, from land use to object detection.

Search the earth using natural language with Imagery models on Vertex AI
Specialized AI models enable finding objects, classifying scenes or monitoring changes across Earth's observation imagery. Query the Earth with natural language and significantly accelerate remote sensing workflows, such as identifying where harmful algae is blooming in order to monitor drinking water supply, giving authorities time to issue warnings or shut down water utilities.
Learn more Try in Vertex AI
AlphaEarth Foundations helps map our planet in unprecedented detail
AlphaEarth Foundations integrates petabytes of Earth observation data to generate a unified representation, empowering users to perform faster, more accurate geospatial analyses like change detection, map segmentation and classification.
Learn more Explore the data in Earth Engine
Put the globe to work with Google Earth
Create, analyze, and collaborate with Google's unique imagery and global knowledge, cloud infrastructure, and community-scale generative building and solar designs. Make faster, informed decisions in early-stage projects—no GIS training required.
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Open Buildings uses AI to put everyone on the map
This open dataset maps 1.8 billion buildings in the Global South and includes changes in development from the years 2016-2023. It uses AI to super-resolve and extract building footprints and heights from Sentinel-2 satellite imagery. For example, it's allowed us to greatly expand coverage of our Solar API.
Learn more Explore the data

Environment

Harnessing AI to deliver actionable, high-resolution weather and climate insights, from real-time forecasts to disaster response and policy impact.

Using AI to make critical flood forecasting information universally accessible
Our AI flood forecast provides reliable riverine flood warnings up to seven days. Flood Hub currently covers river basins in over 100 countries worldwide, providing critical flood forecasting to a population of 700M people.
Learn more Explore Flood Hub
More reliable predictions with WeatherNext
Our AI weather model family, WeatherNext, helps us make predictions that are faster and more reliable than traditional methods. They're already transforming how we forecast the weather, improving areas like disaster response, grid reliability, and global food security.
Learn more Try now in Big Query and Earth Engine
Fast, accurate climate modeling with NeuralGCM
NeuralGCM is a model that can rapidly, efficiently, and accurately simulate Earth’s atmosphere. It combines traditional physics-based modeling with machine learning for improved simulation accuracy and efficiency, giving scientists the ability to make accurate predictions about Earth’s climate.
Learn more NeuralGCM in action
Better tropical cyclone predictions with AI
Weather Lab features our latest experimental AI-based tropical cyclone model, based on stochastic neural networks. This model can predict a cyclone’s formation, track, intensity, size and shape — generating 50 possible scenarios, up to 15 days ahead.
Learn more Explore Weather Lab
Air quality data and insights to help people reduce their exposure to pollution
Powering air quality information for millions of users on Google Search and Maps, our advanced Air Quality API uses AI to fuse satellite, weather, and traffic data, delivering highly accurate, real-time Air Quality Index (AQI) forecasts at a 500-meter global resolution.
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Limit the risks of exposure to allergenic pollen
Our Pollen API can be used to help people limit the risks of exposure to allergenic pollen and make better informed daily decisions. The pollen model combines AI with physical and biological modeling to generate a 5-day high-resolution forecast across over 65 countries. The model is trained to recognize the exact location and density of specific tree, grass and weed species to predict the Universal Pollen Index (UPI).
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Provide accurate wildfires information to affected communities and fire authorities
We use satellite imagery and ML to detect and track wildfires, making information available via Google Search and Maps, informing affected communities and helping fire authorities take action, and developing a simulator to generate data in a range of wildfire scenarios.
Learn more Explore Weather Lab

Population

Unifying search trends, demographics, business, mobility and geospatial data with AI to understand the complex interplay of populations and places.

Insights on the dynamics of human behavior across the planet
Population Dynamics Foundations distills data about human behavior and our interactions with the environment into concise, analysis-ready embeddings. Now expanded to include more countries and capture changes over time, Population Dynamics Foundations insights are enhancing applications including disease modeling, mapping vulnerable communities and location-based marketing.
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Advancing urban transportation with Mobility AI
Mobility AI leverages AI advancements in measurement, simulation, and optimization to provide transportation agencies with powerful tools for data-driven policy making, traffic management, and continuous monitoring of urban transportation systems. Powering Roads Management Insights on Google Maps Platform.
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Population Dynamics Foundations for Places Insights
Gain unique insights into population characteristics and their environmental interplay. Population Dynamics Foundations for Places Insights reveals the bigger picture: how humans thrive, influenced by their surroundings, and how these trends and patterns evolve over time.
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Introducing Geospatial Reasoning

Geospatial Reasoning is making it possible to tackle multimodal Earth AI challenges. Gemini-powered agents enable developers, data analysts, and scientists to integrate Google’s advanced Earth AI models with their own models and datasets. Now you can make natural language queries about the physical world and get deep, actionable insights, grounded in real-world understanding.

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Powering features that billions rely on across Google

When major climate events strike, Google products like Search and Maps help billions of people make critical decisions to stay safe.
  • Google search

    Nowcasting brings AI-powered weather forecasts to Google Search

    MetNet, an AI nowcasting model, predicts precipitation with high accuracy via satellite data. This fills gaps in radar coverage, providing better rain predictions on Google Search.

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  • Google Maps

    Enabling a more immersive, intuitive Google Maps experience

    With Immersive View, you’re able to experience what a neighborhood, landmark, restaurant or popular venue is like — and even feel like you’re right there before you ever leave the house. So whether you’re traveling somewhere new or scoping out hidden local gems, Immersive View helps you make the most informed decisions before you go.

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  • Google Maps | Google search

    Informing communities with early storm forecasts and alerts

    People turn to Google Search and Maps in times of crises, to find early warnings of extreme weather events. Crisis notification cards appear on Google Maps for those near the impacted area, directing to a hurricane forecast of the storm’s trajectory along with information about what time it’s likely to hit certain areas.

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In 2024, four of our geospatial products—Google Earth, Solar API, fuel-efficient routing in Google Maps, and Green Light—enabled individuals, cities, and other partners to collectively reduce an estimated 18 million metric tons of GHG emissions (tCO2e), roughly equivalent to the emissions from the annual energy use of over 2.4 million U.S. homes.¹

¹To estimate aggregate enabled emissions reductions, we first estimated annual reductions for the products individually (Google Earth Pro, Solar API, fuel-efficient routing, and Green Light) and then combined the totals. For details about the individual calculation methodologies, refer to Google’s 2025 Environmental Report. For equivalencies, we used the "Greenhouse Gas Equivalencies Calculator,” U.S. Environmental Protection Agency, November 2024, accessed October 2025.