Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

Artificial intelligence has been applied in wildfire science and management since the 1990s,
with early applications including neural networks and expert systems. Since then, the field …

Possible causes of a forest fire ignition could be human-caused (arson, smoking, hunting,
picnic fire, shepherd fire, stubble burning) or natural-caused (lightning strikes, power lines) …

Wildfires have been systematically studied from the early 1950s, with significant progress in
the applied computational methodologies during the 21st century. However, modern …

Fire in forested areas can be regarded as an environmental disaster which is triggered by
either natural forces or anthropogenic activities. Fires are one of the major hazards in …

The main purpose of this study is to assess forest fire susceptibility maps (FFSMs) and their
performances comparison using modified analytical hierarchy process (M-AHP) and …

The presented research was performed in order to model the fire risk in a part of Hyrcanian
forests of Iran. The fuzzy sets integrated with analytic hierarchy process (AHP) in a decision …

Forest fires can cause significant harm to the biodiversity, air quality, economy, and
industries that depend on forests, which is particularly critical given the current climate …

Over the last two decades in southern Europe, more than 10 million hectares of forest have
been damaged by fire. Due to the costs and complications of fire-fighting a number of …

Fires have increased in northeastern Iran as its semi-arid climate landscape is desiccated by
human activities. To combat fire outbreaks in any region, fire susceptibility must be mapped …