In recent years, advances in computational power have led to an increase in attempts to
model the behaviour of wildland fires and to simulate their spread across landscape. The …

Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging
task. The traditional image processing method relies heavily on manmade features, which is …

A wildfire model is formulated based on balance equations for energy and fuel, where the
fuel loss due to combustion corresponds to the fuel reaction rate. The resulting coupled …

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 …

Two wildland fire models and methods for assimilating data in those models are presented.
The EnKF is implemented ina distributed-memory high-performance computing …

In recent years, advances in computational power and spatial data analysis (GIS, remote
sensing, etc) have led to an increase in attempts to model the spread and behvaiour of …

An extensive set of wind-tunnel fires was burned to investigate convective heat transfer
ahead of a steadily progressing fire front moving across a porous fuel bed. The effects of fuel …

In this study, a new organization based system for forest fires prediction is presented. It is an
Organization Based System for Forest Fires Forecasting (OBSFFF). The core of the system is …

Virtual Reality training for fire fighters and managers has two main advantages. On one
hand, it supports the simulation of complex scenarios like big cities, where a fire cannot be …

Wildfires are widely recognized as a cause of mechanical damage to rocks. Nevertheless,
previous research has neglected how wildfires might impact sport climbing areas. In Spain …