Forest Fire Risk Monitoring-a Case Study in Peninsular Malaysia

摘要

Based on the physical concept of heat energy of preignition, a new fire susceptibility index (FSI) is used to estimate the forest fire risk. FSI combines remotely sensed data with meteorological data and has physical basis. FSIs are computed in Peninsular Malaysia for nine days before fire and validated with hotspot data. Results show that FSI increases as the day gets closer to the fire day. It suggests that FSI can be a good estimator of fire risk. FSI retains the flexibility to be localized to a vegetation type or ecoregions for improved performance..