Study on Forest Fire Danger Level Warning Based on Satellite Remote Sensing

Abstract

Abstract: The article takes the hotspot monitoring data of the remote sensing during 2005—2008 as a study object.Then,the article analyses the relationship between the hotspot data and the meteorological parameters including temperature,precipitation and gale hours,which are in the same time period.Finally,a forest fire danger level warning model was built,and the parameters for model construction includes the monthly mean temperature,the monthly mean precipitation,the monthly hotspot monitoring of the remote sensing and the underlying surface situation of the remote sensing.The warning model can improve the forest fire danger level warning accuracy rate greatly.

Key words: remote sensing, hotspot monitoring, temperature, precipitation, gale hours, early warning

CLC Number:

TP75
S762.2

LI Jianhui, LUAN Qing, MA Yali. Study on Forest Fire Danger Level Warning Based on Satellite Remote Sensing[J]. FOREST RESOURCES WANAGEMENT, 2012, 0(1): 91-94.

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Study on Forest Fire Danger Level Warning Based on Satellite Remote Sensing

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