Fire Risk Assessment

Fire risk assessment aims to predict and mitigate the likelihood and impact of wildfires and industrial fires. Current research emphasizes leveraging advanced technologies like remote sensing and deep learning, employing models such as UNet and its variants, and Masked Autoencoders, to analyze large datasets of imagery and sensor data for improved fire detection and risk mapping. These advancements are crucial for enhancing early warning systems, optimizing resource allocation for fire suppression, and ultimately reducing the devastating consequences of fire events. The integration of these methods with decision support systems promises more effective and proactive fire management strategies.