ZHAO Bin 1,2,3， ZHAO Wen-ji 1,2,3， PAN Jun 4， LI Jia-cun 1,2,3， HU De-yong 1,2,3
1.College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China;2. Laboratory of 3D Information Acquisition and Application, Beijing 100048, China;3.Beijing Municipal Key Laboratory of Resources Environment and GIS, Beijing 100048, China;4.College of Geoexploration Science and Technology, Jilin University,Changchun 130026,China
This paper describes the principle of fire detection by using NOAA-AVHRR data, and gives a brief summary of four fire detection methods. Four fire detection algorithms were utilized to detect and analyze several forest fire spots that occurred in eastern Jilin Province. This paper discusses the fixed threshold method and makes some improvement. Compared with the results of fire detection by other methods, the accuracy of the improved method is obviously higher and can reach 89.2%. The capability of the improved method for fire detection and its shortcomings are also discussed.
2010, Vol. 22 
