Mapping forest fire risk: A comprehensive approach using analytical hierarchy process, geographic information system, and remote sensing integration

Wildfire is one of the natural hazards that is escalating globally.While it can cause extensive harm worldwide, significant economic losses, infrastructural damage, and severe social disruption worldwide, the Mediterranean region is vulnerable because of its distinct climate and vegetation patterns.This study uses geospatial technologies and the multi-criteria decision-making method with Analytical Hierarchy Process to assess and map wildfire risk, using different factors like anthropogenic, meteorological and topographic data.The resulting fire risk map categorizes the area into five zones: very high, high, moderate, low, and very low risk.Findings indicate that 34.89% of the area is at moderate risk, 33.45% at high risk, and 7.62% at very high risk.The model's final susceptibility map was found to be consistent with the historical fire events that occurred in the area of study, demonstrating the efficacy of the approach utilized to identify and map fire risk zones.This model will enhance disaster response capabilities and preparedness through coordination with stakeholders and development of sustainable forest management contingency plans for more resilient communities.