A multidisciplinary decision support system for forest fire crisis management.
A wildland fire is a serious threat for forest ecosystems in Southern Europe affecting severely and irreversibly regions of significant ecological value as well as human communities. To support decision makers during large-scale forest fire incidents, a multidisciplinary system has been developed that provides rational and quantitative information based on the site-specific circumstances and the possible consequences. The system's architecture consists of several distinct supplementary modules of near real-time satellite monitoring and fire forecast using an integrated framework of satellite Remote Sensing, GIS, and RDBMS technologies equipped with interactive communication capabilities. The system may handle multiple fire ignitions and support decisions regarding dispatching of utilities, equipment, and personnel that would appropriately attack the fire front. The operational system was developed for the region of Penteli Mountain in Attika, Greece, one of the mountain areas in the country most hit by fires. Starting from a real fire incident in August 2000, a scenario is presented to illustrate the effectiveness of the proposed approach.
Remote Sensing and Image Processing Team, Department of Applied Physics, University of Athens, Panepistimioupolis, Athens, GR-157 84, Greece. ikeram@cc.uoa.gr
Iphigenia
I
Keramitsoglou
Chris T
CT
Kiranoudis
Haralambos
H
Sarimveis
Nicolaos
N
Sifakis
D003142:Communication; D003661:Decision Support Techniques; D004189:Disaster Planning; D004784:Environmental Monitoring; D005060:Europe; D005390:Fires; D016468:Forestry; D040362:Geographic Information Systems; D006801:Humans