The large and catastrophic wildfires have been increasing across the globe in the recent
decade, highlighting the importance of simulating and forecasting fire dynamics in near real …

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 …

Mountains are popular tourist destinations due to their climate, fresh atmosphere,
breathtaking sceneries, and varied topography. However, they are at times exposed to …

An optimized data-matching machine learning algorithm is developed to provide high-
prediction accuracy of total burned areas for specific wildfire incidents. It is applied to a well …

As bias and uncertainties inevitably exist on both wildland fire model states and parameters,
fire simulations do not always accurately forecast the temporal and spatial progression of …

This paper proposes a new method for rapid prediction of wildfire spread, which employs
computational wildfire simulations by FARSITE and assimilates the simulation results with …

Measuring wildland fire behavior is essential for fire science and fire management. Aerial
thermal infrared (TIR) imaging provides outstanding opportunities to acquire such …

Land-use, climate, and policy changes have impacted the fire regimes of many landscapes
across northern Europe. Heathlands in oceanic climates are globally important ecosystems …

Theoretical fire model is aimed at speed of computation while approximating the key physics
through only a few terrain-related inputs and tunable parameters representing fire intensity …

Scarcity in wildland fire progression data as well as considerable uncertainties in forecasts
demand improved methods to monitor fire spread in real time. However, there exists at …