期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B8
页码：65-70
出版社：Copernicus Publications
摘要：Understanding wildfire behavior is critical for maintaining the safety of fire-fighting crews. Understanding wildfires can also result in significant fiscal savings through improved planning and resource allocating. Currently, wildfire monitoring techniques are not accurate or efficient enough to optimally monitor this natural disaster. To help remedy this, the mobile multi-sensor research group of the University of Calgary is designing an innovative, real-time, internet based wildfire monitoring and modeling system. This system has the potential to impact the process of predicting wildfire propagation, resulting in reduced damage to the environment, enhanced safety and appreciable financial savings. This paper will discuss the design and functionality of the system which integrates four components into a data acquisition/processing system and accompanying GIS based web browser. The four components are: a thermal infrared imaging sensor, wireless communications, an inertial navigation system and a wildfire prediction model based on algorithms used by Prometheus (designed by the Alberta Government in 2003). The final system is able to locate hotspots of fires within five meters, predict where a fire will most likely propagate with time, detect smoldering fires underneath surface vegetation, and detect fires through smoke, haze and darkness with the highest possible accuracy and efficiency of any commercial wildfire model available today
关键词：Spatial Information Sciences; Forest Fire; Modeling; Monitoring; GIS; Real-time; Internet/Web
