Google Earth AI combines Google’s geospatial models with Gemini’s reasoning to turn planet-scale data into practical insights. It’s designed for use cases ranging from environmental monitoring to assessing the impact of natural disasters.
Google Earth, Maps, and Cloud data in one workflow
Earth AI builds on Google’s work in Earth surface modeling and satellite data. Instead of working with raw maps, users get structured findings and metrics that help identify patterns and track change over time.
- Detect trends in landscapes, cities, and ecosystems
- Measure and compare changes across regions
- Produce indicators and summaries from long-term datasets
Faster answers for complex analysis
Work that previously required specialized software and analyst teams can be reduced to asking a question and interpreting the output. The system can respond about territory conditions, change dynamics, and risk factors based on multi-year data.
For organizations and public-sector teams
Google Earth AI is aimed at businesses, municipalities, and nonprofits. With integrations across Google Earth, Google Maps Platform, and Google Cloud, it can support existing workflows such as reporting, infrastructure planning, conservation projects, and emergency response systems.
