Effectiveness of Remote Sensing and GIS-Based Landslide Susceptibility Zonation Mapping Using Information Value Method
Himalayas, having complex geography and geotechnical conditions, is highly prone to landslide instability. The present study aims at the slope instability prediction along the National Highway-21, from Rohtang to Bara-lacha in Lahaul–Spiti District, Himachal Pradesh, India by employing ArcGIS and remote sensing database. Several factors triggering the landslides were generated on the map by utilizing the available multi-temporal remote sensing data at macroscale of 1:50,000. To find out the degree of susceptibility of the landslides, information value model was utilized. Information values were attributed on the basis of landslides pixel count in each class of a causative factor triggering landslides. The success rate curve was developed by employing an area under curve (AUC) method to check the accuracy of the applied model. The landslide susceptibility map was classified on the basis of their probability values into “low, moderate, high, and very high” susceptibility zones with the help of natural break spatial analyst tool in ArcGIS. The landslide susceptibility zonation map delineated in this paper can be used by various stakeholders like state governments, researchers, and the citizens to develop, and manage the developmental activities in the study area in particular, and in the other similar areas in general.
KeywordsLandslides Himalayas GIS Hazard Himachal Pradesh
This paper is a part of the Department of Science and Technology, Ministry of Science and Technology, Government of India sponsored project “GIS-Based Snow Melt Water/Rainfall-Induced Debris Flow Landslide Susceptibility Assessment between Rohtang and Baralacha - La in Himachal Pradesh, India”. The authors duly acknowledge the support of DST for carrying out this project at National Institute of Technology, Hamirpur (HP). The authors are thankful to Dr. Bhoop Singh and Dr. A. K. Singh of Department of Science and Technology, Ministry of Science and Technology, for their suggestions from time to time.
- Anbalagan R, Chakraborty D, Kohli A (2008) Landslide hazard zonation (LHZ) mapping on meso-scale for systematic planning in mountainous terrain. J Sci Ind Res 67:486–497Google Scholar
- Chandel VBS, Brar KK, Chauhan Y (2011) RS & GIS based landslide hazard zonation of mountainous terrains a study from middle Himalayan Kullu district, Himachal Pradesh, India. Int J Geomat Geosci 2:121–132Google Scholar
- Choubey VD, Litoria PK (1990) Terrain classification and land hazard mapping in KaLHI-Chakrata area (Garhwal Himalaya), India. ITC J 1:65–68Google Scholar
- Feizizadeh B, Blaschke T, Nazmfar H et al (2013) Landslide susceptibility mapping for the Urmia Lake basin, Iran: a multi-criteria evaluation approach using GIS. Int J Environ Res 7(2):319–3336Google Scholar
- Hosmer DW, Lameshow S (2000) Applied logistic regression, 2nd edn. Wiley, LondonGoogle Scholar
- Mathew J, Jha VK, Rawat GS (2007) Weights of evidence modelling for landslide Hazard zonation mapping in part of Bhagirathi valley, Uttarakhand. Curr Sci 92(5):628–638Google Scholar
- Pourghasemi HR, Pardhan B, Gokceoglu C et al (2012) Landslide susceptibility mapping using a spatial multi-criteria evaluation model at Haraz watershed, Iran. Springer, Berlin, pp 23–49Google Scholar
- Soeters R, Van Westen CJ (1996) Slope instability recognition, analysis and zonation. In: Turner KT, Schuster RL (eds) Landslides: investigation and mitigation. Special Report No. 247. Transportation Research Board National Research Council, Washington, DC, pp 129–177Google Scholar
- Van Westen CJ (1993) Application of geographic information systems to landslide hazard zonation. ITC Publication, vol. 15. International Institute for Aerospace and Earth Resources Survey, Enschede, p 245Google Scholar
- Van Westen CJ (2000) The modelling of landslide hazards using GIS. Geophysics 21:241–255Google Scholar
- Yin KL, Yan TZ (1988) Statistical prediction model for slope instability of metamorphosed rocks. In: Bonnard C (ed) Proceedings of fifth international symposium in landslides, Lausanne, vol 2. A.A. Balkema, Rotterdam, pp 1269–1272Google Scholar