Prediction Model of Forest Fire Risk Level in Greater Khingan Mountains of Inner Mongolia
In order to improve the accuracy and timeliness of forest fire risk level prediction and reduce forest resource loss,the Greater Khingan Mountains region of Inner Mongolia was researched.The humid-ity index of combustibles was inverted using MODIS-NDVI remote sensing data,and the forest fire risk index was calculated using meteorological index,vegetation index,lightning index and humidity index.The fire risk index was used as the quantitative indicator of the forest fire risk level prediction model in the Greater Khingan Mountains region of Inner Mongolia,to classify the fire risk level and obtain a forest fire risk level prediction method.This method combined the local actual situation and introduced the light-ning index into the prediction model,achieving quantitative estimation.At the same time,the prediction mod-el was validated using the example of major forest fires occurred in recent years.This method could quantita-tively predict the forest fire risk level in the Greater Khingan Mountains region of Inner Mongolia.
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