Predicting Forest Fire Danger Using Fuel Characteristics of Forest

The fuel characteristics of a forest are important factors in designing a forest fire danger rating system and must be analyzed to understand forest fire behavior. Therefore, in this study, forest fire intensity was predicted depending on the amount of fuel in the forests in the Yeongdong and Yeongseo regions of Gangwon-do from November 2020 to December 2021. The possibility of forest fire occurrence, from surface fire to crown fire, was analyzed depending on the fuel conditions. Regional differences were found in the amount of fuel and the fuel structure of the surface layer in the forest. The intensity and type of forest fire changed according to these differences. The Yeongdong area is more susceptible to crown fires and more intense of surface fire than the Yeongseo area. These results show the need to prevent early forest fires by learning the characteristics of forests in different regions and analyzing the intensity and type of forest fire predicted.