Wildfire is an important system process of the earth that occurs across a wide range of
spatial and temporal scales. A variety of methods have been used to predict wildfire …

The challenge of wildfire management and detection is recently gaining increased attention
due to the increased severity and frequency of wildfires worldwide. Popular fire detection …

The degree of accuracy in model predictions of wildland fire behaviour characteristics are
dependent on the model's applicability to a given situation, the validity of the model's …

Unmanned aerial vehicles, or drones, are already an integral part of the equipment used by
firefighters to monitor wildfires. They are, however, still typically used only as remotely …

Accurate, high-resolution fire behavior prediction is a critical component of fire management
decision-making before and during fires. Prometheus is a deterministic fire growth …

Teams of autonomous unmanned aircraft can be used to monitor wildfires, enabling
firefighters to make informed decisions. However, controlling multiple autonomous fixed …

An ensemble simulation system that accounts for uncertainty in long-range weather
conditions and two-dimensional wildland fire spread is described. Fuel moisture is …

This paper proposes a distributed deep reinforcement learning (RL) based strategy for a
team of Unmanned Aerial Vehicles (UAVs) to autonomously fight forest fires. We first model …

Global warming and the subsequent increase in the frequency and severity of wildfires
demand for specialized risk assessment and management methodologies to cope with the …

Differential equations play a vital role in the modeling of physical and engineering problems,
such as those in solid and fluid mechanics, viscoelasticity, biology, physics, and many other …