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 …

Forest fires are one of the most important factors in environmental risk assessment and it is
the main cause of forest destruction in the Mediterranean region. Forestlands have a …

This study assesses forest-fire susceptibility (FFS) in Fars Province, Iran using three
geographic information system (GIS)-based machine-learning algorithms: boosted …

Forests are living dynamic systems and these unique ecosystems are essential for life on
earth. Forest fires are one of the major environmental concerns, economic, and social in the …

Forest fire risk has increased globally during the previous decades. The Mediterranean
region is traditionally the most at risk in Europe, but continental countries like Serbia have …

The main objectives of this paper are to demonstrate the results of an ensemble learning
method based on prediction results of support vector machine and random forest methods …

Wildfires often threaten natural and economic resources and human lives. Wildfire
susceptibility assessments have become essential for efficient disaster management 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 …

This study predicts forest fire susceptibility in Chaloos Rood watershed in Iran using three
machine learning (ML) models—multivariate adaptive regression splines (MARS), support …

This study primarily aims to produce forest fire susceptibility maps for the Manavgat district of
Antalya province in Turkey using different machine learning (ML) techniques. Forest fire …