Comparison between Shalstab and TRIGRS in the identification of landslides susceptible areas

Landslides are natural phenomena occurring worldwide. In Brazil, such events are recurrent and usually preceded and triggered by heavy rainfall. When occurring in urban areas, these catastrophic events cause disasters, such as economic damage, social impacts, and fatalities. So the identification and monitoring of the landslide-susceptible areas is extremely important and has been made with mathematical models. The objective of this study is to compare and analyze the performance of two different physically-based models: Shalstab and TRIGRS for the identification of landslide-susceptible areas.