Forest fires are among the most major causes of global ecosystem degradation. The
integration of spatial information from various sources using statistical analyses in the GIS …

This study performs a comparative evaluation of Frequency Ratio (FR), Analytic Hierarchy
Process (AHP), and Fuzzy AHP (FAHP) modeling techniques for forest fire susceptibility …

Forests fires in northern Iran have always been common, but the number of forest fires has
been growing over the last decade. It is believed, but not proven, that this growth can be …

Forests are important natural resources having the role of supporting economic activity
which plays a significant role in regulating the climate and the carbon cycle. Forest …

This study aimed to prepare forest fire susceptibility mapping (FFSM) using a ubiquitous GIS
and an ensemble of adaptive neuro fuzzy interface system (ANFIS) with genetic (GA) and …

Forest fires have significant impacts on economies, cultures, and ecologies worldwide.
Developing predictive models for forest fire probability is crucial for preventing and …

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 …

Forest fire disaster is currently the subject of intense research worldwide. The development
of accurate strategies to prevent potential impacts and minimize the occurrence of disastrous …

Sažetak Forest fire is one of the most common natural hazards occurring in the Western
Ghats region of Kerala and is one of the reasons for forest degradation. This natural disaster …

This study presents a geospatial approach in conjunction with a multi-criteria decision-
making (MCDM) tool for mapping forest fire risk zones in the district of Ri-Bhoi, Meghalaya …