Rainfall-induced slope landslide pontential and landslide distribution characteristics assessment

According to observations over the few years before and after typhoon and extreme rainfall events in the Laonong catchment of Kaohsiung, Southern Taiwan, this study combined a genetic adaptive neural network architecture, image texture analysis, and a geographic information system (GIS) in satellite image interpretation and land use change analysis to obtain disaster records and surface information. A multivariate hazards evaluation method was applied to quantitatively analyze the weights of various natural environmental and slope development hazard factors. Furthermore, this study established a slope landslide potential assessment model and depicted a slope landslide potential diagram by using the GIS platform. The impact of extreme rainfall events on slope landslide and landslide developmental characteristics were discussed. The findings can be a reference for subsequent slope development countermeasures and as an assessment for the academia and engineering fields involved in predicting landslide disasters caused by slope development.