Abstract Purpose of Review The objectives of this paper are to briefly review basic risk
management and analytics concepts, describe their nexus in relation to wildfire response …

The world's forests store large amounts of carbon (C), and growing forests can reduce
atmospheric CO 2 by storing C in their biomass. This has provided the impetus for world …

Fire safety in urban areas is gaining more attention along with the rapid development of
urbanization and the increasing complexity of urban structures. Many fire spread models …

Owing to coal commonly existing in a fluctuating thermal environment, a two–step parallel
reaction model for coal ignition was established to explore the development of coal ignition …

Abstract Models that predict wildfire rate of spread (ROS) play an important role in decision-
making during firefighting operations, including fire crew placement and timing of community …

Wildfire behavior predictions typically suffer from significant uncertainty. However, wildfire
modeling uncertainties remain largely unquantified in the literature, mainly due to computing …

Pattern analysis in wildfire spread behaviors is crucial for rescue actions and disaster
reduction. Deep learning methods have the potential to model the wildfire spread despite …

Fire Spread Rate (FSR) can indicate how fast a fire is spreading, which is especially helpful
for wildfire rescue and management. Historically, images obtained from sun-orbiting …

The prediction of wildfire rate of spread and growth under high wind speeds and dry fuel
moisture conditions is key to taking proactive actions to warn and in turn protect …

The wildland-urban interface (WUI) is defined as a geographic area where human
developments and flammable vegetation merge in a wildfire-prone environment. Losses due …