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Deep learning artificial intelligence keeps an eye on volcano movements

 RADAR satellites can collect massive amounts of remote sensing data that can detect ground movements — surface defomations — at volcanoes in near real time. These ground movements could signal impending volcanic activity and unrest; however, clouds and other atmospheric and instrumental disturbances can introduce significant errors in those ground movement measurements.

Now, Penn State researchers have used artificial intelligence (AI) to clear up that noise, drastically facilitating and improving near real-time observation of volcanic movements and the detection of volcanic activity and unrest.

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mauna loa volcano