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Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India

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Environmental Geology

Abstract

Landslides are among the most costly and damaging natural hazards in mountainous regions, triggered mainly under the influence of earthquakes and/or rainfall. In the present study, Landslide Hazard Zonation (LHZ) of Dikrong river basin of Arunachal Pradesh was carried out using Remote Sensing and Geographic Information System (GIS). Various thematic layers namely slope, photo-lineament buffer, thrust buffer, relative relief map, geology and land use / land cover map were generated using remote sensing data and GIS. The weighting-rating system based on the relative importance of various causative factors as derived from remotely sensed data and other thematic maps were used for the LHZ. The different classes of thematic layers were assigned the corresponding rating value as attribute information in the GIS and an “attribute map” was generated for each data layer. Each class within a thematic layer was assigned an ordinal rating from 0 to 9. Summation of these attribute maps were then multiplied by the corresponding weights to yield the Landslide Hazard Index (LHI) for each cell. Using trial and error method the weight-rating values have been re-adjusted. The LHI threshold values used were: 142, 165, 189 and 216. A LHZ map was prepared showing the five zones, namely “very low hazard”, “low hazard”, “moderate hazard”, “high hazard” and “very high hazard” by using the “slicing” operation.

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Acknowledgments

The authors gratefully acknowledge the technical help provided by scientists, Regional Remote Sensing Service Center, Kharagpur in carrying out this study. First author of the paper is extremely thankful to Ministry of Human Resources Development, Government of India, New Delhi for sponsoring this research work. The authors would also like to thank the anonymous referees for useful suggestions, which led to a substantially improved manuscript.

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Authors and Affiliations

  1. Water Resource Development and Management Department, IIT, 247 667, Roorkee, India

    Ashish Pandey

  2. Agricultural Engineering Department, NERIST, Nirjuli, Itanagar, Arunachal Pradesh, 791 109, India

    P. P. Dabral & N. K. Yadav

  3. CSEAS, Kyoto University, Kyoto, Japan

    V. M. Chowdary

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  1. Ashish Pandey
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  2. P. P. Dabral
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  3. V. M. Chowdary
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  4. N. K. Yadav
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Correspondence to Ashish Pandey.

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Pandey, A., Dabral, P.P., Chowdary, V.M. et al. Landslide Hazard Zonation using Remote Sensing and GIS: a case study of Dikrong river basin, Arunachal Pradesh, India. Environ Geol 54, 1517–1529 (2008). https://doi.org/10.1007/s00254-007-0933-1

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  • DOI: https://doi.org/10.1007/s00254-007-0933-1

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