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Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas

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Abstract

Natural hazards, occurring all over the world, may become a disaster when humans and nature interact. In Brazil, landslides triggered by heavy rainfall are the most common phenomenon that affects the population. Due to the economic and social losses and deaths, the identification and monitoring of risk areas are extremely important. Therefore, this study aims to identify the landslide-susceptible areas in Vila Albertina and Britador neighborhood, located in Campos do Jordão city in São Paulo state, Brazil. Using the Shalstab mathematical model, which analyzes the slope stability, and satellite images from WorldView-2 sensor with data mining techniques, it was identified the most susceptible areas for this phenomenon and the main characteristics of human occupation that might induce landslides. To achieve this goal, three scenarios were simulated for each neighborhood, changing the values of the geotechnical parameters, used as input on Shalstab. The results of susceptibility areas were consistent with the reality observed in these neighborhoods and the landslide scars corroborate with the assumption that anthropic changes induce landslides. The satellite image allowed the identification of different types of human interaction and its changes in steep slope areas.

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Acknowledgements

The authors thank Mr. Devon Libby, from Digital Globe, for kindly providing the WorldView-2 images used in this study.

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Authors and Affiliations

  1. National Institute for Space Research (INPE), Av. dos Astronautas 1758, Jardim da Granja, São José dos Campos, SP, 12227-010, Brazil

    Téhrrie König & Hermann J. H. Kux

  2. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN/MCTIC), Estrada Doutor Altino Bondesan, 500, Parque Tecnológico, São José dos Campos, SP, 12247-016, Brazil

    Téhrrie König & Rodolfo M. Mendes

  3. Vale do Paraíba University (UNIVAP/IP&D), Av. Shishima Hifumi, 2911 - Urbanova, São José dos Campos, SP, 12244-000, Brazil

    Rodolfo M. Mendes

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  1. Téhrrie König
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Correspondence to Téhrrie König.

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König, T., Kux, H.J.H. & Mendes, R.M. Shalstab mathematical model and WorldView-2 satellite images to identification of landslide-susceptible areas. Nat Hazards 97, 1127–1149 (2019). https://doi.org/10.1007/s11069-019-03691-4

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