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Landslide Susceptibility Mapping Using Remotely Sensed Data through Conditional Probability Analysis Using Seed Cell and Point Sampling Techniques

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Abstract

Rapid urbanization, intense infra-structure development and increased tourism related activities have resulted in the change of landscape of the Kodaikkanal town and its surrounding, a popular hill town in Tamilnadu, South India. As an after effect, the numbers of landslides and rock-falls have increased steadily in the past decade. Landslide susceptibility analysis is carried out for this area using conditional probability analysis. The geo-spatial database for mapping landslide susceptibility consists of the factors - Relief, Slope, Aspect, Curvature, Weathering, Land use, Topographic Wetness Index and Proximity to road. Two sampling strategies – point and seed-cell are compared for landslide susceptibility mapping. The Landslide Susceptibility map developed using conditional probability method is verified using R index for both sampling strategies. The study shows that both the sampling strategies perform with good accuracy, seed cell technique excels slightly over point sampling. 86.11% of the landslides fall in the high and critical susceptible zones. The results show that conditional probability technique provides a simple tool for susceptibility analysis. The method can be used at regional scale and is a valuable input for planning purpose.

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Authors and Affiliations

  1. School of Civil Engineering, SASTRA University, Thanjavur, Tamilnadu, India

    Evangelin Ramani Sujatha

  2. Indian Institute of Astrophysics, Kodaikkanal, Tamilnadu, India

    P. Kumaravel

  3. Sairam Group of Institutions, West Tambaram, Chennai, Tamilnadu, India

    Victor Rajamanickam G

Authors
  1. Evangelin Ramani Sujatha
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  2. P. Kumaravel
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  3. Victor Rajamanickam G
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Correspondence to Evangelin Ramani Sujatha.

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Ramani Sujatha, E., Kumaravel, P. & Rajamanickam G, V. Landslide Susceptibility Mapping Using Remotely Sensed Data through Conditional Probability Analysis Using Seed Cell and Point Sampling Techniques. J Indian Soc Remote Sens 40, 669–678 (2012). https://doi.org/10.1007/s12524-011-0192-1

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  • DOI: https://doi.org/10.1007/s12524-011-0192-1

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