Google is broadening the AI capabilities of Google Earth by integrating its Gemini model to connect multiple geospatial AI models. The upgrade lets trusted testers chat with Earth AI, combine personal data, and query satellite imagery for insights such as infrastructure risk or environmental changes. In the United States, Google AI Pro and Ultra users will soon gain higher‑limit access, and the company plans to open Gemini‑enabled Earth AI to users on professional plans. Leer más →

Google has unveiled a suite of Gemini-driven enhancements to Google Earth AI, expanding its ability to answer complex geospatial questions and support rapid disaster response and environmental monitoring. The new tools let users combine satellite imagery, population data, weather forecasts and other datasets to spot hazards such as storm landfall impacts, drying rivers, dust storms and harmful algae blooms. Organizations, cities and nonprofits can now access the upgraded models as trusted testers on Google Cloud, using their own data alongside Google’s to tackle challenges ranging from water‑supply safety to climate‑related emergencies. Leer más →

Scientists at the University of Cambridge are developing an artificial‑intelligence model that identifies bramble patches from satellite imagery to locate potential hedgehog habitats across the United Kingdom. By combining simple machine‑learning techniques with data from the European Space Agency's Sentinel satellites and citizen‑science observations from iNaturalist, the team hopes to provide a scalable alternative to traditional nighttime field surveys. Initial ground‑truthing walks in Cambridge showed the model’s predictions aligning with real‑world bramble locations, offering a promising tool for large‑scale conservation planning. Leer más →