文献类型：期刊文献

中文题名：国家级森林火险等级预报方法研究

英文题名：Forecasting Methodology of National-level Forest Fire Risk Rating

作者：覃先林[1] 张子辉[2] 李增元[1] 易浩若[1]

第一作者：覃先林

机构：[1]中国林业科学研究院资源信息研究所,林业部重点开放性实验室-林业遥感与信息技术实验室,北京100091;[2]国家林业局森林防火预警监测信息中心,北京100714

年份：2008

卷号：23

期号：5

起止页码：500-504

中文期刊名：遥感技术与应用

外文期刊名：Remote Sensing Technology and Application

收录：CSTPCD;;CSCD:【CSCD_E2011_2012】；

基金：“十一五”国家科技攻关课题“森林灾害监测、预警技术研究(2006BAD23B04);中国林科院院科研基金重点项目“院属实验林重要资源和林火预警监测技术研究(CAFYBB2007003)”;中欧科技合作项目“龙计划”中“中国森林火灾卫星监测及示范”课题(DragonProposalid2531);ITTO项目“中国热带林火卫星遥感监测与管理系统(PD228/03Rev.3(F))”的资助

语种：中文

中文关键词：森林火险指数;森林火险预报;MODIS;GIS技术

外文关键词：Forest fire danger index; Forest; fire risk forecasting; MODIS; GIS

分类号：TP79

摘要：对国家级森林火险等级的定量化预报方法进行了探讨,即:利用MODIS数据反演获得可燃物状态指数;将通过网络获得的全国气象数据和建立的可燃物类型分布、森林火险区划等基础数据库,在ArcGIS平台上数量化后计算背景综合指数,由这两者计算获得火险指数,以火险指数为国家级森林火险等级预报的量化指标,并利用它进行全国森林火险等级的分级,从而实现了全国森林火险等级从定性描述到定量估测。同时,以近几年我国发生的重特大森林火灾为例,对该方法进行了验证。实验表明:该方法可较好地对国家级森林火险等级进行定量化预报。
The risk level of forest fire depends not only on weather, topography, human activities, socio-economic conditions, but also closely related to the types, growth, moisture content, and quantity of forest fuel on the ground. How to timely acquire information on the dynamics of growth and moisture content of forest fuel and climate in the whole country is critical to national-level forest fire risk forecasting. The development and application of Remote Sensing （RS）, geographic information system （GIS）, databases, Internet, and other modern information technologies has provided an important technical means for macro-regional forest fire risk forecasting. Quantified forecasting of national-level forest fire risk was studied using Fuel State Index （FSI） and Background Composite Index （BCI）. The FSI was estimated using MODerate resolution Imaging Spectroradiaometer （MODIS） data. National meteorological data and other basic data on distribution of fuel types and forest fire risk rating were standardized in ArcGIS p.atform to calculate BCI. The FSI and the BCI were used to calculate the Forest Fire Danger Index （FFDI）, which is regarded as a quantitative indicator for national forest fire risk forecasting and forest fire risk rating, shifting from qualitative description to quantitative estimation. The major forest fires occurred in recent years was taken as examples to validate the above method, and results indicated that the method can be used for quantitative forecasting of national-level forest fire risks.