Forecasting method of nationak-level forest fire risk rating

摘要: The risk level of forest fire not only depends on weather, topography, human activities, socio-economic conditions, but is also closely related to the types, growth, moisture content, and quantity fuel ground. How timely acquire information about growth content climate for whole country is critical to national-level forecasting. development application remote sensing (RS), geographic information system (GIS), databases, internet, other modern technologies has provided important technical means macro-regional In this paper, quantified forecasting national-level forest was studied using Fuel State Index (FSI) Background Composite (BCI). FSI estimated using Moderate Resolution Imaging Spectroradiaometer (MODIS) data. National meteorological data basic data distribution types rating were standardized in ArcGIS platform calculate BCI. The FSI BCI used Forest Fire Danger (FFDI), which regarded as a quantitative indicator for national rating, shifting from qualitative description quantitative estimation. major fires occurred recent years taken examples validate above method, and results indicated that method can be national-level risks.