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Performance Evaluation and Sensitivity Analysis of Expert-Based, Statistical, Machine Learning, and Hybrid Models for Producing Landslide Susceptibility Maps

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Book cover Laser Scanning Applications in Landslide Assessment

Abstract

Landslides are active natural hazards in many areas of the world. Landslides damage and destroy man-made structures and landforms, causing many deaths and injuries every year.

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Authors and Affiliations

  1. Department of Civil Engineering, University Putra Malaysia, Serdang, Malaysia

    Biswajeet Pradhan, Maher Ibrahim Seeni & Bahareh Kalantar

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  1. Biswajeet Pradhan
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  2. Maher Ibrahim Seeni
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  3. Bahareh Kalantar
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    Biswajeet Pradhan

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Pradhan, B., Seeni, M.I., Kalantar, B. (2017). Performance Evaluation and Sensitivity Analysis of Expert-Based, Statistical, Machine Learning, and Hybrid Models for Producing Landslide Susceptibility Maps. In: Pradhan, B. (eds) Laser Scanning Applications in Landslide Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-55342-9_11

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