The city of Salvador, Brazil, faces recurring landslide hazards during rainy seasons, especially in dense urban districts with steep slopes. In collaboration with Universidad de Concepción, Universidad de Las Américas (Chile), Universidade de São Paulo, and Western Michigan University, our team co-authored a study in the Annals of GIS. The study combines GIS, soil data, slope information, and an infinite slope model to map landslide susceptibility under different rainfall infiltration depths.
The results show that susceptible areas increase sharply as water penetrates deeper into the soil, from 1.24 square kilometers at 1 meter deep to 42.75 square kilometers at 4 meters deep. The method provides a practical screening tool for hazard planning and helps identify districts where early warning and prevention efforts should be prioritized.
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