谷歌地球AI正在全球范围内扩大访问权限。
New updates and more access to Google Earth AI

原始链接: https://blog.google/technology/research/new-updates-and-more-access-to-google-earth-ai/

谷歌利用其地理空间人工智能模型——为搜索、地图以及现在的人工智能地球提供支持——提供关键的灾害响应和地球洞察。目前,这些工具正在保护超过二十亿人免受洪水预报的影响,并提供野火警报(例如在2025年加州野火期间),并且其功能正在不断扩展。 新的“地理空间推理”框架,由Gemini提供支持,使人工智能能够连接不同的地球人工智能模型(天气、人口数据、图像)来回答复杂的问题——超越灾害发生*地点*,深入了解*谁*最脆弱以及*哪些*基础设施面临风险。 这项进展已经帮助GiveDirectly等组织高效地分配灾害救济物资。谷歌正在扩大这些工具的访问范围,为地理空间推理提供可信测试者计划,并通过Google.org为非营利组织提供支持,旨在加速解决全球挑战的方案。

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原文

When disasters strike, Google products like Search and Maps help billions of people make critical decisions to stay safe. Our flood forecasting information — now covering more than two billion people — provides life-saving forecasts before the most significant river floods. It's helped organizations like World Vision get drinking water and food to communities when they need it most. And during the devastating 2025 California wildfires, we provided crisis alerts with information from local authorities to 15 million people across Los Angeles while showing them where to find shelter in Google Maps. This is all made possible by our geospatial AI models, not only for floods and wildfires, but cyclones, air quality and many more.

We recently introduced Google Earth AI, bringing together these geospatial models to help tackle the planet's most critical needs. Earth AI is built on decades modeling the world, combined with state of the art predictive models and Gemini’s advanced reasoning, letting enterprises, cities and nonprofits achieve deeper understanding in minutes — efforts that previously required complex analytics and years of research.

Today, we’re advancing Earth AI’s innovations and capabilities, and expanding access around the globe. Here’s how:

To solve a complex problem, you need to see the whole picture, not just one piece of it. That’s the idea behind Geospatial Reasoning, a framework powered by Gemini that now lets AI automatically connect different Earth AI models — like weather forecasts, population maps and satellite imagery — to answer complex questions.

Instead of just seeing where a storm might hit, our latest research demonstrates that analysts can use Geospatial Reasoning to identify which communities are most vulnerable and what infrastructure is at risk, all at once. For example, Geospatial Reasoning empowers the nonprofit GiveDirectly to respond to disasters by combining flood and population density information, helping them identify who needs direct aid most.

Sign up for consideration to become a Trusted Tester for Geospatial Reasoning. Social impact organizations can learn about future support for nonprofits through Google.org and our non-commercial access programs.

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