Abstract :
The present study uses Remote Sensing and GIS for finding susceptible zones of landslide hazards in the
Tehri region which has an area of 798 sq.km. Six-factor layers responsible for landslide occurrence,
such as road, slope, lineaments, geology, drainage, landuse are assigned membership functions and
appropriate rules were assigned to them in Fuzzy Inference System. Frequency Ratio Method is applied
in the same area and both the method is assessed for the accuracy. The Fuzzy Inference based landslide
susceptibility mapping has been classified into five zones. These results have been compared with the
landslide hazard zonation map generated by frequency ratio method and the results were presented in
detail. A comparison of the total area under each class in both the methods has been revisited with the
landslide density in each class of hazard. It has been found that the frequency ratio has given better
results than the fuzzy method. It is to be highlighted that the present study has not used any prior
information into the Inference system for hazard zonation however in the frequency ratio method
landslide inventory (previous instances of landslide occurrences in the study area) was used as one
parameter for hazard zonation.
Keyword :
Frequency Ratio Model GIS Fuzzy Logic Remote Sensing Information System Landslide Hazard Zones