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Real-time forecast of high-resolution wildfire spread via Fast Cross-Scale Deep LearningNARA Subscribed
The increasing frequency and severity of wildfires, particularly in the wildland-urban interface, underscores the urgent need for advanced real-time wildfire forecast models. This study develops a cross-scale deep-learning model for high-resolution wildfire emergency management that uses wildfires in Hong Kong Island, China as a demonstration. We simulate massive wildfire scenarios with a high spatial resolution of 5 m, based...
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