GIS Landslide pp 211-219 | Cite as

GIS Application in Landslide Susceptibility Mapping of Indian Himalayas

Chapter

Abstract

The landslide susceptibility zonation maps provide an assessment of the safety of existing habitations and infrastructural elements. This in turn helps to plan further developmental activities in mountainous regions. GIS has been proved to be an integral part of landslide studies in recent times. Besides mapping landslides based on field investigation and remote sensing image interpretation to create a landslide database, GIS has been established as an indispensable tool for preparing various thematic data layers pertaining to landslide causative factors by using field-based data, digitally interpreted remote sensing data and through spatial and 3D analysis of terrain data. These thematic data layers are spatially integrated using arithmetic and weighted overlay statistical techniques on GIS platform to prepare landslide susceptibility maps. CSIR-CBRI has carried out landslide susceptibility mapping of different parts of the Himalayas by employing different techniques such as expert opinion-based approach, field-based rating criteria, statistical approach, and ANN and fuzzy concept-based approaches, in which GIS and remote sensing has extensively been used. The present paper illustrates a broad methodology employed for mapping of landslide susceptibility in GIS environment.

Keywords

Landslide susceptibility GIS Remote sensing Himalayas 

Notes

Acknowledgements

Authors are grateful to the Director, CSIR-CBRI for his kind permission to publish the work.

References

  1. Aleotti P, Chowdhury R (1999) Landslide hazard assessment: summary, review and new perspectives. Bull Eng Geol Environ 58:21–44Google Scholar
  2. Carrara A, Guzzetti F (eds) (1995) Geographical information systems in assessing natural hazards. Kluwer Academic Publisher, Dordrecht, The Netherlands, p 353Google Scholar
  3. Gupta RP, Joshi BC (1990) Landslide hazard zonation using the GIS approach—a case study from the Ramganga catchment, Himalayas. Eng Geol 28:119–131Google Scholar
  4. Guzzetti F, Carrara A, Cardinali M, Reichenbach P (1999) Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy. Geomorphology 31:181–216CrossRefGoogle Scholar
  5. Hansen A (1984) Landslide hazard analysis. In: Brundsen D, Prior DB (eds) Slope instability. Wiley, New York, pp 523–602Google Scholar
  6. Hutchinson JN (1996) Keynote paper: landslide hazard assessment. In: Bell DH (ed) Landslides, vol 3. Balkema, Rotterdam, The Netherlands, pp 1805–1841Google Scholar
  7. Kanungo DP, Arora MK, Sarkar S, Gupta RP (2006) A comparative study of conventional, ANN Black Box, Fuzzy and Combined Neural and Fuzzy Weighting Procedures for Landslide Susceptibility Zonation in Darjeeling Himalayas. Eng Geol 85:347–366Google Scholar
  8. Kanungo DP, Arora MK, Sarkar S, Gupta RP (2009a) A fuzzy set based approach for integration of thematic maps for landslide susceptibility zonation. Georisk 3(1):30–43Google Scholar
  9. Kanungo DP, Arora MK, Sarkar S, Gupta RP (2009b) Landslide susceptibility zonation (LSZ) mapping—a review. J S Asia Disaster Stud 2(1):81–105Google Scholar
  10. Mantovani F, Soeters R, Van Westen CJ (1996) Remote sensing techniques for landslide studies and hazard zonation in Europe. Geomorphology 15:213–225CrossRefGoogle Scholar
  11. Nagarajan R, Mukherjee RA, Roy A, Khire MV (1998) Temporal remote sensing data and GIS application in landslide hazard zonation of part of Western Ghat, India. Int J Remote Sens 19:573–585Google Scholar
  12. NRSA (2001) Atlas on landslide hazard zonation mapping in the himalayas of Uttaranchal and Himachal Pradesh States using remote sensing and GIS. National Remote Sensing Agency, Hyderabad, IndiaGoogle Scholar
  13. Sarkar S, Kanungo DP (2004) An integrated approach for landslide susceptibility mapping using remote sensing and GIS. Photogram Eng Remote Sens 70:617–625CrossRefGoogle Scholar
  14. Sarkar S, Kanungo DP, Patra AK, Kumar P (2008) GIS based spatial data analysis for landslide susceptibility mapping. J Mt Sci 85(5):52–62CrossRefGoogle Scholar
  15. Varnes DJ (1984) Landslide hazard zonation: a review of principles and practice. UNESCO, Paris, pp 1–63Google Scholar
  16. van Westen CJ (1994) GIS in landslide hazard zonation: a review, with examples from the Andes of Colombia. In: Price M, Heywood I (eds) Mountain environments and geographic information system. Taylor & Francis, Basingstoke, UK, pp 135–165Google Scholar

Copyright information

© Springer Japan KK 2017

Authors and Affiliations

  1. 1.CSIR-Central Building Research InstituteRoorkeeIndia

Personalised recommendations