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Landslide Susceptibility Map Showing the Spatial Relationship Between Various Landslide Factors and Landslide Using Remote Sensing and GIS-Based Frequency Ratio Method in Chamoli District, Uttarakhand, India

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Landslide: Susceptibility, Risk Assessment and Sustainability

Part of the book series: Advances in Natural and Technological Hazards Research ((NTHR,volume 52))

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Abstract

Landslides are common in Uttarakhand state due to many geo-environmental variables. The main objective of this study is to produce a landslide susceptibility map of Chamoli district, Uttarakhand. To assess the influence of geo-environmental parameters on the occurrence and distribution of landslides, the Frequency Ratio (FR) model using remote sensing and GIS-based techniques is applied in the present study. The FR model is developed from the landslide inventory map and geo-environmental parameters including slope aspect, altitude, slope, TRI, TWI, SPI, rainfall, earthquake, soil, NDVI, geomorphology, geology, LULC, distance to rivers, distance to roads, and distance to faults. The model is validated using the AUC curve method. The landslide susceptibility map is divided into five zones, viz. Very high (7.92% area), high (15.78% area), moderate (21.13% area), low (25.02% area), and very low (30.15% area). The result shows that about 7.92% of the study area is a high landslide potential area where almost 55% of total landslide events are occurred. we can trace about 90% of total landslide occurrences found within 23.7% of the study area.

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Acknowledgements

All data used in this study are freely available. We would like to thank USGS and ISRO for the various datasets used in this article. We also thank Mr. Chiranjib Sarkar for their help in preparing this manuscript. Finally, special thanks to the Department of Geography, Ananda Chandra College, Jalpaiguri, West Bengal, India for providing the data needed for the study, as well as valuable help and great support.

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  1. Department of Geography, Ananda Chandra College, Jalpaiguri, West Bengal, India

    Subrata Kundu Paul, Ershad Ali & Bipul Chandra Sarkar

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  1. Subrata Kundu Paul
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  1. Department of Geography, KISS Deemed University, School of Tribal Resource Development, Bhubaneswar, India

    Gopal Krishna Panda

  2. Graduate School of Media and Governance, Keio University Shonan Fujisawa, Japan, Japan

    Rajib Shaw

  3. Department of Geography, The University of Burdwan, Bardhaman, India

    Subodh Chandra Pal

  4. Department of Geography, Bhatter College, Dantan (Vidyasagar Univ, Kharagpur, Paschim Medinipore,, India

    Uday Chatterjee

  5. Department of Geography, The University of Burdwan, Bardhaman, India

    Asish Saha

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Paul, S.K., Ali, E., Sarkar, B.C. (2024). Landslide Susceptibility Map Showing the Spatial Relationship Between Various Landslide Factors and Landslide Using Remote Sensing and GIS-Based Frequency Ratio Method in Chamoli District, Uttarakhand, India. In: Panda, G.K., Shaw, R., Pal, S.C., Chatterjee, U., Saha, A. (eds) Landslide: Susceptibility, Risk Assessment and Sustainability. Advances in Natural and Technological Hazards Research, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-031-56591-5_11

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