Google's Groundsource tool uses AI to predict flash floods 24 hours early.
Gemini analyzed 2.6 million historical flood events across 150 countries.
The open-source data helps researchers and communities prepare for disasters.
AI has been improving regularly. While most of the improvements have involved things that might not immediately entice the regular, everyday consumer, companies have been looking at ways to fulfil the needs of many. They have been trying to find ways to implement ‘AI for society’ where the tech does something good for humanity overall. Keeping this in mind, Google has released a very interesting tool called ‘Groundsource’. According to them, this new feature will allow AI to predict floods almost 24 hours before they even occur. Let’s quickly take a look at how the new tool from Google works.
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Groundsource: How does it work?
Per Google, their new Groundsource is a new AI-powered methodology tool that can transform public information into a high-quality record of historical disaster data. The best part is that using this tool, Google can predict flash floods in urban areas for up to 24 hours in advance.
Speaking of the technical side of things, Google explained that its tool uses Gemini to analyse years of public reports to identify over 2.6 million historical flood events spanning more than 150 countries. Not only that, but Google Maps is also used to determine precise geographic boundaries for each event to create a dataset focused on flash floods.
Groundsource: Where is it available?
Speaking of the release date and the availability of this new tool made by Google, the company confirmed in their blog post that the flood forecasts are available to use now on the website, Google’s Flood Hub. On the website, there are over 150 countries available for you to visit. It shows compiled data that includes historical data, with the water levels too.
Google says that they are aiming it at a lot of different people. As per them, this tool would allow for communities around the world to be better prepared before a disaster strikes. For researchers and scientists, Groundsource would provide an open-source benchmark to scale their impact, particularly in urban regions that have lacked historical flash flooding data.
Over on X (formerly Twitter), Google’s CEO Sundar Pichai said, “We trained a new flood forecasting model designed to predict flash floods in urban areas up to 24 hours in advance. To help address a flash floods data gap, we created Groundsource: a new AI methodology using Gemini to identify 2.6M+ historical events across 150+ countries.”
Furthermore, he also gave a deep dive about the tool, suggesting, “We’re open-sourcing this dataset to advance global research, and urban flash flood forecasts are live now in Flood Hub to help communities stay safe.”
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