Since 2018, the Flood Forecasting team at Google Research has been working to apply advanced machine learning methods to a broad range of data sets, such as satellite imagery, river data, and weather data. These data sets help to generate high-quality flood forecasts that predict when rivers will overflow and the exact locations where flooding will take place.
The system currently covers an area populated by more than 370 million people across several countries in South East Asia and Latin America. In 2021 the Flood Forecasting system reached 23 million people with more than 115 million notifications based on user location and flood maps. Flood Forecasting and alerting plans to expand globally in the near future to ensure everyone around the world can benefit from these early warnings.
If you have five minutes and want to know how this works then watch this video: https://www.youtube.com/watch?v=Mz0ikfuE_z0
Background to this post:
In 2015, the UN set the Sustainable Development Goals, ambitious targets for a better and more sustainable future by 2030. AI can reduce the time and resources needed to progress against some of the world's toughest challenges.
Google.org is committing $25M to fund solutions accelerating progress towards the Global Goals.
This is the 2nd post in this series. See also: Rainforest Connection