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REMOTE SENSING FOR LAND & RESOURCES    1993, Vol. 5 Issue (3) : 36-40     DOI: 10.6046/gtzyyg.1993.03.09
Remote Sensing Applications |
A STUDY ON SATELLITE EARLY WARNING AND MONITOR SYSTEM OF FOREST FIRE
Zhu Qijiang, Gao Feng, Yu Fang
Beijing Normal University
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Abstract  

The satellite early warning. system of forest fire based upon remote sensing technology and geographical information system is a new synthetical monitor system with characteristics on fast speed, real-time, microscopic and accuracy and it has great developing future.

Keywords Image fusion      Wavelet packet transform      Best tree transform     
Issue Date: 02 August 2011
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WANG SHeng-Li
YU Xue-Xiang
XIA Xiang-Biao
ZHENG Lai-Lin
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WANG SHeng-Li,YU Xue-Xiang,XIA Xiang-Biao, et al. A STUDY ON SATELLITE EARLY WARNING AND MONITOR SYSTEM OF FOREST FIRE[J]. REMOTE SENSING FOR LAND & RESOURCES, 1993, 5(3): 36-40.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.1993.03.09     OR     https://www.gtzyyg.com/EN/Y1993/V5/I3/36


[1] Doricr, J., A method for satellite identification of surface temperature fields of subpixel resolution, Rornotc Sensing of Environment, 11:221-229, 1981

[2] Lawson, B. D., A system for predicting fire behavior in Canadian forests, Proceedings of the 8th Conforence on Fire and Forest Meteorology, 1985

[3] 宋志杰等,林火原理和林火预报,气象出版社,1991

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