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 …

Forest fires are a persistent global problem, causing devastating consequences such as loss
of human lives, harm to the environment, and substantial economic losses. To mitigate these …

Most forest fires in the Margalla Hills are related to human activities and socioeconomic
factors are essential to assess their likelihood of occurrence. This study considers both …

Devastating wildfires have increased in frequency and intensity over the last few years,
worsened by climate change and prolonged droughts. Wildfire susceptibility map** with …

This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …

The increasing global concern about wildfires, mostly caused by people, has triggered the
development of human-caused fire occurrence models in many countries. The premise is …

Background In the last two decades, Nepal has experienced an increase in both forest fire
frequency and area, but very little is known about its spatiotemporal dimension. A limited …

As most of the forest fires in South Korea are related to human activity, socio-economic
factors are critical in estimating their probability. To estimate and analyze how human activity …

Wildfires constitute an extremely serious social and environmental issue in the
Mediterranean region, with impacts on human lives, infrastructures and ecosystems. It is …

Abstract China's Ecological protection Red Lines (ERLs) policy has proven effective in
protecting ecological resources, restoring ecosystems and promoting regional ecological …