| Monitoring Forest Fire with MODIS-NDVI Images in Beijing |
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| 引用本文： | TIAN Xiaorui SHU Lifu WANG Mingyu ZHAO Fengjun Forest Protection Laboratory of State Forestry Administration Research Institute of Forest Ecology,Environment and Protection Chinese Academy of Forestry,Beijing 100091,P.R.China. Monitoring Forest Fire with MODIS-NDVI Images in Beijing[J]. 中国林业科技(英文版), 2006, 5(4): 87-92 |
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| 作者姓名： | TIAN Xiaorui SHU Lifu WANG Mingyu ZHAO Fengjun Forest Protection Laboratory of State Forestry Administration Research Institute of Forest Ecology Environment and Protection Chinese Academy of Forestry Beijing 100091 P.R.China |
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| 作者单位： | TIAN Xiaorui SHU Lifu WANG Mingyu ZHAO Fengjun Forest Protection Laboratory of State Forestry Administration Research Institute of Forest Ecology，Environment and Protection Chinese Academy of Forestry，Beijing 100091，P.R.China |
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| 基金项目： | Supported by the Beijing Natural Science Funds (No. 6042025). |
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| 摘 要： | INTRODUCTION The moisture content of fuel is a critical parameter in fire ignition because flammability is closely dependent on it (Dimitrakopoulos et al. 2001). Dead fuel lying on the forest floor (fallen branches, litter, foliage) is the most dangerous because it is drier than live fuel and more dependent on rapid atmospheric changes. The moisture content of live fuel plays a marginal role in fire ignition, but it is critical in fire propagation modeling because the amount of water is d…
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| 关 键 词： | 北京 森林火灾监测 火险评分系统 燃料回潮监控器 |
Monitoring Forest Fire with MODIS-NDVI Images in Beijing |
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| TIAN Xiaorui SHU Lifu WANG Mingyu ZHAO Fengjun. Monitoring Forest Fire with MODIS-NDVI Images in Beijing[J]. Chinese Forestry Science and Technology, 2006, 5(4): 87-92 |
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| Authors: | TIAN Xiaorui SHU Lifu WANG Mingyu ZHAO Fengjun |
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| Affiliation: | Forest Protection Laboratory of State Forestry Administration Research Institute of Forest Ecology, Environment and Protection Chinese Academy of Forestry, Beijing 100091, P.R.China |
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| Abstract: | Fuel moisture monitoring is an important component of fire danger rating system in fire management. This paper describes the application of NDVI images in monitoring potential fire danger and analyses the relationship between MODIS-NDVI and fire weather index. The series of weather data in Beijing are used in this analysis including fire seasons in spring during 2004 to 2005. Canadian Fire Weather Index (FWI) is selected in this study, because it can properly estimate moisture conditions of live fuel. Fine fuel moisture, drought code and FWI values are generated by using the squared inverse distance algorithm. Strong correlations have previously been observed between FWI variables and NDVI data. The MODIS-NDVI images can be used in fire management as component related with live fuel moisture and fire danger. |
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| Keywords: | forest fire MODIS NDVI fuel moisture content |
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