基于MODIS数据的火险潜在指数(FPI)及其应用研究

The Fire Potential Index (FPI) model makes use of the combustible thing diagram, the burden of live and dead surface vegetation and the degree of humidity to estimate the possibility of forest fire occurrence. The authors used the MODIS data to extract all factors used in fire forecast, which included relative humidity, temperature, humidity of ten hours timelag combustible materials, normal vegetation water index, and vegetation greenness. The application of FPI model to fire forecast was tested by weather and vegetation data obtained by MODIS from Heilongjiang in October 2004 and from some provinces in southern China in March 2008.These data were input into the FPI model to obtain the fire insurance index chart. Practice shows that the utilization of the FPI model can raise the capability for the forecast of the temporal and geographic distribution of fire danger and improve the prediction technique.