A STUDY OF FOREST FIRE DETECTION BASED ON MODIS DATA
GAO Mao-fang 1, QIN Zhi-Hao 1,2, LIU San-chao 3
1.International Institute for Earth System Science, Nanjing University, Nanjing 210093, China; 2.Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3.Institute of Remote Sensing Application, Chinese Academy of Science, Beijing 100101, China
A new algorithm is proposed in this paper for fire detection with MODIS data. The crux of this algorithm is to combine brightness temperature of thermal infrared (TIR) bands with vegetation index derived from visible and near infrared (VNIR) bands for fire spot detection. Applications in China-Mongolia-Russia border area indicate that the algorithm is capable of detecting fire spots as well as reducing false alarms caused by non-vegetation areas.
高懋芳, 覃志豪, 刘三超. MODIS数据在林火监测中的应用研究[J]. 国土资源遥感, 2005, 17(2): 60-63.
GAO Mao-Fang, QIN Zhi-Hao, LIU San-Chao. A STUDY OF FOREST FIRE DETECTION BASED ON MODIS DATA. REMOTE SENSING FOR LAND & RESOURCES, 2005, 17(2): 60-63.