Remote sensing, GIS and experts systems for fire hazard and vulnerability modelling and dynamic resource allocation

Dynamic fire resources have to be allocated on the basis of comprehensive understanding of the various spatial processes, which may influence fire hazards and vulnerability assessment. However, prior to this allocation it is vital to gain a comprehensive understanding of the relationships between such spatial influences and model them in order to understand the spatial distribution of risk. The paper describes the development of a semantic fire hazard and vulnerability assessment model by integrating data from airborne sensors and disparate cartographic data (GIS) in the city of Bathurst, NSW, Australia. This model is used to engineer an agent based resource allocation system, which may assist emergency organizations in the allocation of dynamic resources