Combining Spatial Data in Landslide Reactivation Susceptibility Mapping: A Likelihood Ratio-Based Approach in W Belgium

A key issue in landslide susceptibility mapping concerns the relevance of the spatial data combination used in the prediction. Various combinations of high-resolution predictor variables and possibilities of selecting them from a larger dataset are analysed. The scarp reactivation of several landslides in a hilly region of W Belgium is investigated at the pixel scale. The susceptibility modelling uses the reactivated scarp segments as the dependent variable and 13 factors at a 2. m-resolution related to topography, hydrology, land use and lithology as potential independent variables. The model... Mehr ...