Wildfire damage evaluation by merging remote sensing with a fire area simulation model in Naoshima, Kagawa, Japan

Not only wildfire damage, but the failure of post-fire forest restoration is also one of the major threats for the conservation of forest ecosystems. Therefore, it is required to estimate wildfire damaged potential and recovery capacity to orientate the management of a post-fire community. The aim of our research is to estimate the resistibility against wildfire and the post-fire regeneration capacity by merging field observation data with Terra/ASTER Level1B satellite data and a fire area simulation model (FARSITE). As a result, the resistibility against wildfire and the post-fire regeneration capacity were high in the high prior-fire normalized differential vegetation index (NDVI) areas, where the trees had been thriving. Also, after the fire, the well developed surface soil (the A horizon) provided a good environment for resprouting from unburned stumps and the rhizome. It is suggested that the thriving forests have a strong resistance against wildfire and have large regeneration capacity.