Skip to main content
SpringerLink
Log in

Landslide susceptibility mapping in a hilly terrain using remote sensing and GIS

  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

Remote sensing and Geographic Information System (GIS) are well suited to landslide studies. The aim of this study is to prepare a landslide susceptibility map of a part of Ooty region, Tamil Nadu, India, where landslides are common. The area of the coverage is approximately 10 × 14 km in a hilly region where planting tea, vegetables and cash crops are in practice. Hence, deforestation, formation of new settlements and changing land use practices are always in progress. Land use and land cover maps are prepared from Indian Remote Sensing Satellite (IRS 1C - LISS III) imagery. Digital Elevation Model (DEM) was developed using 20 m interval contours, available in the topographic map. Field studies such as local enquiry, land use verification, landslide location identification were carried out. Analysis was carried out with GIS software by assigning rank and weights for each input data. The output shows the possible landslide areas, which are grouped for preparation of landslide susceptibility maps.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Balachandran, V., Thanavelu, C. and Pitchaimuthu, R. (1996). Marappalam landslide. The Nilgiri district, Tamilnadu, India. a case study. Proceedings, International Conference on Disasters and Mitigation, Madras, India 9–22 January, 1996.I: A4–21-23.

    Google Scholar 

  • Bhasin, R., Eystein Grimstad, Jan Otto Larsen, Ashok K. Dhawan. Rajbal Singh, Verma, S.K. and Venkatachalam, K. (2002). Landslide hazards and mitigation measures at Gangtok, Sikkim Himalaya.Engineering Geology,64: 351–368.

    Article  Google Scholar 

  • Brardinoni, F., Olav Slaymaker and Marwan A. Hassan (2003). Landslide inventory in a rugged forested watershed: a comparison between air-photo and field survey data.Geomorphology,54: 179–196.

    Article  Google Scholar 

  • Burrough, A. Peter and Rachael, A. McDonnell (1998). Principles of Geographic Information Systems. Oxford University Press, pp. 122–127:

  • Dai, F.C. and Lee, C.F. (2002). Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong.Geomorphology,42: 213–228.

    Article  Google Scholar 

  • Glade, Thomas (2003). Landslide occurrences as a response to land use change: a review of evidence from New Zealand.Catena,51: 297–314.

    Article  Google Scholar 

  • Gokceoglu, C. and Aksoy, H. (1996). Landslide susceptibility mapping of the slopes in the residual soils of the Mengen region (Turkey) by deterministic stability analyses and image processing techniques.Engineering Geology,44: 147–161.

    Article  Google Scholar 

  • Gray, D.H. and Leiser, A.T. (1982). Biotechnical slope protection and erosion control. Van Nostrand Reinhold Company, New York.

    Google Scholar 

  • Greenways, D.R. (1987). Vegetation and slope stability. In slope stability, edited by M.F. Anderson and K.S. Richards. Wiley and Sons, New York.

    Google Scholar 

  • Nagarajan, R., Anupam Mukherjee and Aniruddha Roy (1996). Landslide hazard assessment using remote sensing and GIS - A case study. Proceedings, International conference on disasters and mitigation. Madras, India, 19-22 January, 1996, VolumeI, PP. A4–78-84.

    Google Scholar 

  • Panikkar, S.V. and Subramanyan, V. (1996). A geomorphic evaluation of the landslides around Dehradun and Mussoorie, Uttar Pradesh, India.Geomorphology 15: 169–181.

    Article  Google Scholar 

  • Parthasarathy, Y.J. and Vaidyanathn, R. (1974). Landforms over the Nilgiris. J. Geological Society of India, Vol.15.

  • Perotto-Baldiviezo, H.L., Thurow, T.L., Smith, C.T., Fisher, C.T. and Wu, X.B. (2004). GIS-based spatial analysis and modeling for landslide hazard assessment in steep lands, Southern Honduras.Agriculture, Ecosystems and Environment, pp. 1–11.

  • Seshagiri, D.N., Badrinarayanan, S., Upendran, R., Lakshmikantham, C.B. and Srinivasan, V. (1982). The Nilgiris landslide - Miscellaneous publication no. 57. Geological Survey of India.

Download references

Author information

Authors and Affiliations

  1. Department of Geology, Anna University, 600025, Chennai, India

    P. Rajakumar, S. Sanjeevi, S. Jayaseelan, G. Isakkipandian, M. Edwin, P. Balaji & G. Ehanthalingam

Authors
  1. P. Rajakumar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Sanjeevi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Jayaseelan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. G. Isakkipandian
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. M. Edwin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. P. Balaji
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. G. Ehanthalingam
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to P. Rajakumar.

About this article

Cite this article

Rajakumar, P., Sanjeevi, S., Jayaseelan, S. et al. Landslide susceptibility mapping in a hilly terrain using remote sensing and GIS. J Indian Soc Remote Sens 35, 31–42 (2007). https://doi.org/10.1007/BF02991831

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02991831

Keywords

Search

Navigation