By John McCormick Close John McCormick Oct. 1, 2020 5:30 am ET Agencies battling wildfires in California are turning to artificial intelligence and other technologies to predict the spread of blazes and help guide the response of firefighting crews.
Fire prediction tools are helping officials in the area and across the state gain greater visibility into how big a fire might get and where it might be headed, said Geoff Marshall, a division chief in Cal Fire’s Predictive Services program. Predictive Services does modeling for seasonal trends and outlooks for firefighters and fire managers.
It uses a combination of scientific fire-spread models that show how wildfires grow, said David Buckley, Technosylva’s vice president and chief operating officer. Technosylva says it enhances those models: It uses machine learning that compares a current fire against historical fire behaviors—which the company continuously updates based on patterns of recent fires—to make its prediction on where a fire might be headed and what time it is likely to arrive at that location.
At the end of August, the Technosylva tool predicted that a blaze called the CZU Lightning Complex fire would move toward Felton, Calif., located south of San Francisco. Lightning caused the fire, which started in August and has burned more than 86,000 acres, according to Cal Fire’s website. In Southern California, the Los Angeles Fire Department and other firefighting agencies are using a tool from the Wifire Lab called FireMap. The Wifire Lab is run out of the San Diego Supercomputer Center, which is based at the University of California, San Diego.
Our prayers to ourfirefighters.
How about they tap some lumberjacks.
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