Heuristic cum Statistical Approach for Landslide Hazard Zonation in Itanagar Capital Complex, Arunachal Pradesh, India.

  • Trilochan Singh Wadia Institute of Himalayan Geology
  • Ashok Kaushal SL Advanced Systems Pvt Ltd
  • Yogesh Singh Centre for Development of Advanced Computing (C-DAC)


Arunachal Himalaya is highly susceptible to natural disasters due to inherent fragility prevailing in the mountainous terrain, which is further enhanced by neo-tectonic activities. Landslide is one such major disaster causing extensive damage to the infrastructures and loss of lives. It is important to identify the risk from these landslides for mitigation and preparedness. These landslides are further accentuated by various developmental activities that are implemented without accounting for natural geological and geo-morphological systems. However, state of the art geomatics technologies (encompassing Remote Sensing, GIS and GPS) allow developing multi-dimensional spatial databases in a holistic manner and dividing areas of disaster vulnerabilities into sub-areas based on local geological conditions. Present study covers the use of optical and microwave remote sensing data along with extensive field surveys using GPS for mapping and fragmenting the Itanagar Cap ital Complex into areas of varying degree of stability based on an estimated significance of causative factors inducing instability. In this study, multi-criteria analysis with heuristic cum statistical approach (by determination of weight factor through pair-wise comparison within GIS) was used for deriving Landslide Hazard Zonation of the Itanagar Capital Complex, which may help the planners to take necessary mitigation measures during developmental activities.