To spot fire damage from space, point this AI at satellite imagery

To spot fire damage from space, point this AI at satellite imagery

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To spot fire damage from space, point this AI at satellite imagery

A new deep-learning algorithm can identify the devastation of fires by studying aerial photographs.

How it works: From satellite images taken before and after the California wildfires of 2017, researchers created a dataset of buildings that were either damaged or left unscathed.

The results: They tweaked a pre-trained ImageNet neural network and got it to spot damaged buildings with an accuracy of up to 85 percent.

Why it matters: After a disaster, pinpointing the most hard-hit areas could save lives and help with relief efforts. The researchers also released the dataset to the public, which could improve other research that requires satellite images, like conservation and developmental aid work.

Image credit:

  • European Space Agency | Flickr

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March 8, 2018 at 08:40AM

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