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Landslide Susceptibility Mapping Using Bivariate Frequency Ratio Model and Geospatial Techniques: A Case from Karbi Anglong West District in Assam, India

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Abstract

The study attempts to prepare an inventory map of landslide susceptibility using geospatial technology and bivariate frequency ratio model for Karbi Anglong West district in Assam, India. Past landslide locations were extracted from the landslide hazard zonation map of Assam for preparing landslide susceptibility. Of the total past landslide locations, 70% locations were utilized for building the model and 30% locations for validating landslide susceptibility map. Geology, lineament, slope, aspect, drainage, land use/land cover, and soil conditioning parameters were integrated through frequency ratio model to prepare the susceptibility map. High and moderate susceptibililty areas were found in the south and south-western parts having steep slopes, while low susceptibility areas were distributed sparsely over areas having gentle slope in the district. Validation of landslide susceptibility map revealed its accordance with the past landslide locations. The accuracy of the landslide susceptibility map was assessed through receiver operating characteristics curves. Prediction rate and success rate under curves were found to be 0.884 and 0.854, respectively. The map produced through the integration of landslide causative factors and frequency ratio model helped not only in identifying landslide-prone areas but also proved to be instrumental for analyzing level of susceptibility. Thus, the methodology can be employed for monitoring and assessing landslide susceptibility.

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Authors and Affiliations

  1. Department of Geography, Faculty of Natural Science, Jamia Millia Islamia, New Delhi, Delhi, India

    Raihan Ahmed, Ravinder Singh & Haroon Sajjad

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  1. Raihan Ahmed
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  2. Ravinder Singh
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  3. Haroon Sajjad
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Editors and Affiliations

  1. College of Horticulture and Forestry, Rani Lakshmi Bai Central Agricultural University, Jhansi, Uttar Pradesh, India

    Pavan Kumar

  2. Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, Delhi, India

    Haroon Sajjad

  3. Department of Geophysics, Kurukshetra University, Kurukshetra, Haryana, India

    Bhagwan Singh Chaudhary

  4. Remote Sensing and GIS, Kumaun University, Almora, Uttarakhand, India

    J. S. Rawat

  5. Department of Geography, Kumaun University, Nainital, Uttarakhand, India

    Meenu Rani

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Ahmed, R., Singh, R., Sajjad, H. (2021). Landslide Susceptibility Mapping Using Bivariate Frequency Ratio Model and Geospatial Techniques: A Case from Karbi Anglong West District in Assam, India. In: Kumar, P., Sajjad, H., Chaudhary, B.S., Rawat, J.S., Rani, M. (eds) Remote Sensing and GIScience . Springer, Cham. https://doi.org/10.1007/978-3-030-55092-9_4

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