Monitoring Forest Fire with MODIS-NDVI Images in Beijing

被引：0
|
作者：
TIAN Xiaorui SHU Lifu WANG Mingyu ZHAO Fengjun Forest Protection Laboratory of State Forestry Administration Research Institute of Forest Ecology
机构：
来源：
Chinese Forestry Science and Technology | 2006年 / 04期
关键词：
forest fire; MODIS; NDVI; fuel; moisture content;
D O I：
暂无
中图分类号：
S762 [林火];
学科分类号：
0838 ;
摘要：
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.
引用
收藏
页码：87 / 92
页数：6
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