Wildfire Risk Zone Mapping in Contrasting Climatic Conditions: An Approach Employing AHP and F-AHP Models

Wildfires are one of the gravest and most momentous hazards affecting rich forest biomes worldwide; India is hotspots due to its diverse types human-induced reasons. This research aims identify wildfire risk zones in two contrasting climate zones, Wayanad Wildlife Sanctuary Western Ghats Kedarnath Himalayas, using geospatial tools, analytical hierarchy process (AHP), fuzzy-AHP models assess impacts various conditioning factors compare efficacy models. Both wildlife sanctuaries were severely battered by fires past, with more than 100 fire incidences considered for this modeling. analysis found that both natural anthropogenic responsible occurrences sanctuaries. The validation maps, utilizing receiver operating characteristic (ROC) method, proved have outstanding prediction accuracy training datasets, F-AHP model having a slight edge over other model. results statistical matrices such as sensitivity, accuracy, Kappa index also confirmed better AHP According model, about 22.49% 17.12% fall within very-high zones. created will serve tool implementing effective policies intended reduce impact fires, even protected areas similar types, terrain, climatic conditions.