Wildfires are an inherent part of the landscape in many parts of the world; however, they
often impose substantial economic burdens on human populations where they occur, both in …

The land surface of Malaysia mostly constitutes forest cover. For decades, forest fires have
been one of the nation's most concerning environmental issues. With the advent of machine …

The recent huge technological development of unmanned aerial vehicles (UAVs) can
provide breakthrough means of fighting wildland fires. We propose an innovative forest …

Many methods can be used to construct geographical cellular automata (CA) models of
urban land use, but most do not adequately capture spatial heterogeneity in urban …

The quantitative simulation of forest fire spreading plays an essential role in designing quick
risk management and implementing effective suppression policies. As a preferable …

Cellular automata have been successfully applied to simulate the propagation of wildfires
with the aim of assisting fire managers in defining fire suppression tactics and in planning …

PROPAGATOR is a stochastic cellular automaton model for forest fire spread simulation,
conceived as a rapid method for fire risk assessment. The model uses high-resolution …

In this paper, we propose an efficient surface computational system with second-order
spatial and temporal accuracy to solve multiple physical field coupling problems over …

The quantitative simulation of forest fire spread is of great significance for designing rapid
risk management approaches and implementing effective fire fighting strategies. A cellular …

The wildfire prediction model is crucial for accurate rescue and rapid evacuation. Existing
models mainly adopt regular grids or fire perimeters to describe the wildfire landscape …