Landslide susceptibility mapping using modified information value model in the Lish river basin of Darjiling Himalaya View Full Text


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Article Info

DATE

2017-04-03

AUTHORS

Biplab Mandal, Sujit Mandal

ABSTRACT

The spatial distribution of mountain slope instability deals with the potential zones for landslides occurrences. In the present study, information value model was modified to make the modified information value model using RS & GIS to assess landslide susceptibility of the Lish river basin of Eastern Darjeeling Himalaya. Eleven important causative factors of slope instability like slope, aspect, curvature, lithology, geomorphology, soil, NDVI, drainage density, relative relief, LULC, elevation were considered and corresponding thematic data layers were generated in Arc GIS (10.1) environments. 87 very small to large various types landslide locations were identified with the help GPS through extensive field survey and incorporating Google earth image (2015). The entire thematic data layers were extracted from ASTER GDEM, Topographical maps (78 B/9; 1: 50,000), LANDSAT 8 OLI satellite image, Google earth image (2015) etc. All the thematic data layers were integrated on GIS environment to generate the landslide susceptibility map of the study area. The Lish river basin was classified into six landslide susceptibility zones i.e. very low, low, moderate, moderately high, high and very high considering the ranges of landslide susceptibility index. Finally, an accuracy assessment was done in Arc GIS by ground truth verification of 54 training sites having landslides from Google earth image (2015) for each landslide susceptibility class and compared with probability model which demonstrates the overall accuracy of the present study is 87.04% and Kappa coefficient is 84.41%. More... »

PAGES

205-218

References to SciGraph publications

  • 1999-08-01. Landslide hazard assessment: summary review and new perspectives in BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
  • 2009-06. Using InfoVal method and GIS techniques for the spatial modelling of landslide susceptibility in the upper catchment of river Meenachil in Kerala in JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
  • 2013-12. Integrating the Analytical Hierarchy Process (AHP) and the frequency ratio (FR) model in landslide susceptibility mapping of Shiv-khola watershed, Darjeeling Himalaya in INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE
  • 2014-10-09. The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas in LANDSLIDES
  • 2005-02-15. Comparative evaluation of landslide susceptibility in Minamata area, Japan in ENVIRONMENTAL GEOLOGY
  • 2016-06-29. Assessment of mountain slope instability in the Lish River basin of Eastern Darjeeling Himalaya using frequency ratio model (FRM) in MODELING EARTH SYSTEMS AND ENVIRONMENT
  • 2014-09-03. Development and application of Shannon’s entropy integrated information value model for landslide susceptibility assessment and zonation in Sikkim Himalayas in India in NATURAL HAZARDS
  • 2012-09-28. Debris flow susceptibility assessment by GIS and information value model in a large-scale region, Sichuan Province (China) in NATURAL HAZARDS
  • 2006-11-11. Fuzzy-based method for landslide hazard assessment in active seismic zone of Himalaya in LANDSLIDES
  • 2006-12-01. GIS-based logistic regression method for landslide susceptibility mapping in regional scale in JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
  • 2014-03-27. Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China in ARABIAN JOURNAL OF GEOSCIENCES
  • 2011-04-15. Landslide hazard zoning along Himalayan Kaghan Valley of Pakistan—by integration of GPS, GIS, and remote sensing technology in LANDSLIDES
  • 2008-03-30. GIS based spatial data analysis for landslide susceptibility mapping in JOURNAL OF MOUNTAIN SCIENCE
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