Geospatial Methods in Fire Hazard Assessment

The analysis of wildfire risk plays a crucial role in the management and prevention of fires in vulnerable areas. This study explores the evolution of wildfire risk mapping methodologies in Calabria, focusing particularly on the shift from a satellite-data-based approach to one that integrates georeferenced information. A geostatistical approach using Smooth Kernel Distribution (SKD) was used to generate hazard maps, using a triangular kernel that enhances both location accuracy and computational efficiency. The results reveal areas with high fire density throughout the region. Furthermore, the monthly analysis highlighted a change in seasonal patterns, indicating an extension of the risk period. This study provides valuable information on the temporal and spatial dynamics of wildfires, offering more precise tools for the management and protection of territory.