Forest fires cause significant economic damages and hazard to environment all over the world. Apart from preventive measures, early warning and fast extinction of fires are the only chance to avoid major casualties and damage to nature. This paper describes a methodology based on emote sensing and GIS for provision of various early warning of forest fire (so called hot spots) danger conditions for regulatory authorities to take actions for mitigation.

Hot spot locations were identified through an automated procedure from MODIS and NOAA AVHRR satellite images. Combination of the Daily Hotspot Images coupling with various GIS layers allows the generation of Active Forest Fire Maps for the study area.

Results from the model can support detection and monitoring for wild fires in the forest and enhance alert system function by simulating and visualizing forest fire and helps for contingency planning.