Download Android Version
      




Manage your Employees, Payroll & Stock with Divine HRM. Click here for demo.

As wildfire season approaches, AI could pinpoint risky regions using satellite imagery

The U.S. has suffered from devastating wildfires over the last few years as global temperatures rise and weather patterns change, making the otherwise natural phenomenon especially unpredictable and severe. To help out, Stanford researchers have found a way to track and predict dry, at-risk areas using machine learning and satellite imagery. Currently the way forests and scrublands are tested for susceptibility to wildfires is by manually collecting branches and foliage and testing their water content.








Top News