Pinepeak, founded by scientists from Cambridge and Imperial College London in December 2023, emerged from research started after the devastating 2018 wildfires in Greece. The project focuses on developing advanced wildfire prediction methods using machine learning and physics-based modeling originally designed for jet engines. Their technology dramatically improves the precision of wildfire risk forecasts, reaching up to 90% accuracy, and can predict specific threats to individual homes. This innovative approach addresses the increasing challenge of catastrophic wildfires intensified by climate change, offering crucial information for insurers, governments, and firefighting efforts.
Pinepeak's wildfire prediction technology combines machine learning algorithms trained on satellite data with cutting-edge physics-based modelling originally developed for jet engine research at the University of Cambridge.
Just as turbulence and air movement dictate how fuel ignites in an engine, they also play a crucial role in the spread of wildfires.
Catastrophic wildfires are escalating due to climate change, but current risk assessment methods fall short of predicting how fires interact with their environment.
Pinepeak's algorithms forecast the probability that a wildfire will occur with up to 90% accuracy, predicting where fires will spread and what they will impact.
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