Shintaro Goto

Dynamic Landslide Susceptibility Assessment Using Machine Learning Models

A machine learning framework that aligns high-resolution radar rainfall and modeled soil moisture with documented landslide occurrence times with dynamic triggering factors indicates that incorporating occurrence-time-aligned soil moisture dynamics substantially improves both the predictive and explanatory capacity of...