摘要

Landslide is the movement of a mass of rock, debris or earth down a slope. It is considered as one of the most devastating natural hazards which cause severe damage to properties and human lives in a region. Landslides are mostly unpredictable in nature and the susceptibility of occurrence can be assessed either qualitatively or quantitatively using geospatial techniques. This paper evaluates application potential of such technology and information value technique (quantitative) in landslide hazard zonation. To evaluate the application potential and result, a part of Giri valley of Himachal Pradesh, India has been chosen as the study area. This area exhibits a variety of landslide movements and can be easily located through remote sensing images.
The major parameters considered in the landslide zonation include lithology, lineament, slope, streams, vegetation, land use/land cover and road. The layers are generated from satellite images coupled with collateral data. Landsat ETM+ and ASTER GDEM data are used for creating Digital Elevation Model (DEM) and related layers trough ArcGIS.
All these layers are processed through information value technique to find out different landslide hazard zones. The area has been classified into five zones viz. very low, low, moderate, high and very high landslide hazard prone on the basis of subjectivity. Further, the final hazard zonation map is compared with the actual landslide map for validation.

  • 出版日期2013-1