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UCI team uses machine learning to help tell which wildfires will burn out of control (Padhraic Smyth mentioned)

September 17, 2019

An interdisciplinary team of scientists at the University of California, Irvine has developed a new technique for predicting the final size of a wildfire from the moment of ignition.

Built around a machine learning algorithm, the model can help in forecasting whether a blaze is going to be small, medium or large by the time it has run its course – knowledge useful to those in charge of allocating scarce firefighting resources. The researchers’ work is highlighted in a study published today in the International Journal of Wildland Fire.

Read the full story at UCI News.

« Multidisciplinary Graduate Training Program Advances Wildfire Prediction Research
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