Predicted soil depth map by a diffusion model and LiDAR DEM

Abstract

Spatial distribution of soil depth and its time series change is one of the critical data for studying slope stability and landform development in mountain watersheds. We show a predicted soil depth map by using a diffusion model and LiDAR DEM of the granitic mountain area in Hiroshima, and the results were compared with field observations. We can see the fast development of soil depth especially in hollows formed by the heavy rainfall event in 2014. The spatial distribution of soil depth may be approximated on a time scale of about 1000 years by this method.