Managing the aftermath of Hurricane Harvey: Machine Learning to the Rescue

Dear MicroMappers,

Hurricane Harvey was the first major hurricane to make landfall in the United States since Wilma in 2005, ending a record 12-year period with no major hurricanes making landfall in the country. In a four-day period, many areas received more than 40 inches (1,000 mm) of rain as the system meandered over eastern Texas and adjacent waters, causing catastrophic flooding. The resulting floods inundated hundreds of thousands of homes, displaced more than 30,000 people, and prompted more than 17,000 rescues.

Qatar Computing Research Institute(QCRI) has been working on machine learning for UAV(unmanned aerial vehicle – drone) imagery using deep learning algorithms. For Hurricane Harvey, we are able to run our algorithm. Please see the below result. And, here is our report that explains how this works.

 

We are still looking for more data for improving our model so that we can share with the community.

With gratitude,
MicroMappers Team

 

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One comment

  1. Pingback: Managing the aftermath of Hurricane Irma: Machine Learning to the Response « MicroMappers


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