Geo-spatial Modeling for Automated Demarcation of Snow Avalanche Hazard Areas Using Landsat-8 Satellite Images and In Situ Data

Abstract

The aim of this study is to generate a reliable dynamic snow avalanche hazard map using analytical hierarchy process method based on multisource geo-spatial data for the Chowkibal–Tangdhar (C–T) road axis in Jammu and Kashmir (J&K), India. Avalanche-prone areas of C–T axis have been demarcated using three causative parameters, i.e., terrain, ground cover and meteorological parameters. Terrain parameters, e.g., elevation, slope, aspect and curvature, have been estimated from Advanced Spaceborne Thermal Emission and Reflection Radiometer, Global Digital Elevation Model Version 2. Ground cover information has been extracted from Landsat-8 data. Meteorological parameters maps, i.e., snow depth, relative humidity and air temperature, have been generated using geo-spatial interpolation techniques of in situ data. All the parameters have been incorporated in Geographic Information System environment to generate the hazard map. Validation of hazard map was accomplished with the area under the curve method. The prediction rate was observed to be 93.2%. Further, 20% of the study area was estimated having no hazard, 55% as low hazard, 12% as moderate hazard and 13% as high hazard on April 13, 2015. Dynamic hazard map thus generated using remote sensing and in situ data will be useful for mitigation of snow avalanche hazard, regional planning for development of infrastructure, transportation, troops movement, army deployments and communication network.