| El Nino And Forest Fire In Yunnan Province, Southwest China -New Way to Study Three Essential Factors of Forest Fire |
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| 作者姓名： | ZHAOXianwen SI Lin Research Institute of Resource Information Techniques. Chinese Academy of Forestry. Wan Shou Shan. Beijing . China zhaoxw @ info.forestry. ac. en |
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| 摘 要： | Three essential factors of forest fire (fire source, environment, and litter) were taken as the point of view, and has approached the forecast method of forest fire in tropical area of southwest China in a macroscopic scale. This study supported by mathematical method was from a new angle. For example, in the aspect of forest fire forecast, it has been thought over that most forest fire is artificial fire, which has lots of randomness. So it could be studied in a kind of Markov random processes. In the aspect of the analysis of environment that leads to forest fire, correlation analysis would reveal the relation among cosmos, earth and life, for instance, the relation between E1 Nino (or La Nina) and forest fire. Especially in the aspect of estimating the amount of litter, a new estimation method based on spacial remote sensing data was raised. It provides an effective and quantitative way with higher reliability for forest fire forecast on region scale.
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El Nino And Forest Fire In Yunnan Province, Southwest China -New Way to Study Three Essential Factors of Forest Fire |
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| ZHAOXianwen SI Lin,Research Institute of Resource Information Techniques. Chinese Academy of Forestry.,Wan Shou Shan. Beijing . China,zhaoxw @ info.forestry. ac. en.El Nino And Forest Fire In Yunnan Province, Southwest China -New Way to Study Three Essential Factors of Forest Fire[J].中国林业科技(英文版),2003(1). |
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| Authors: | ZHAOXianwen SI Lin Research Institute of Resource Information Techniques Chinese Academy of Forestry Wan Shou Shan |
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| Institution: | ZHAOXianwen SI Lin
Research Institute of Resource Information Techniques. Chinese Academy of Forestry.
Wan Shou Shan. Beijing 100091. China
zhaoxw @ info.forestry. ac. en |
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| Abstract: | Three essential factors of forest fire (fire source, environment, and litter) were taken as the point of view, and has approached the forecast method of forest fire in tropical area of southwest China in a macroscopic scale. This study supported by mathematical method was from a new angle. For example, in the aspect of forest fire forecast, it has been thought over that most forest fire is artificial fire, which has lots of randomness. So it could be studied in a kind of Markov random processes. In the aspect of the analysis of environment that leads to forest fire, correlation analysis would reveal the relation among cosmos, earth and life, for instance, the relation between E1 Nino (or La Nina) and forest fire. Especially in the aspect of estimating the amount of litter, a new estimation method based on spacial remote sensing data was raised. It provides an effective and quantitative way with higher reliability for forest fire forecast on region scale. |
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| Keywords: | EL Nino forest fire remote sensing Markov litter |
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