Abstract
AbstractThis study aimed to assess the feasibility of land sliding factors often used in landslide susceptibility models. For this reason, 12 terrain factors that is, aspect, geology, slope, relative relief, distance to road, distance to drainage, distance to lineament (FFT), profile curvature, stream power index (SPI), topographic wetness index (TWI), land used/land cover (LULC), and soil were identified and analyzed with the help of two approaches, that is weight of evidence and frequency ratio. Important landslide causative factors including landslide inventory data were extracted using remote sensing and ancillary data. Of all the causative factors LULC and aspect have the highest contributing landslide influences according to the data derived approach obtained from landslide inventory. While from the feasibility study also indicates that landslides found in the study area are mostly due to anthropogenic activities. The landslide susceptibility map of the study region was also generated using weight overlay method, and three landslide classes were classified, which are low, moderate, and high zone. From the landslide susceptibility map, it is observed that 10.82% of the area is found in the low class, 77.85% fall under the moderate class, and 11.34% of the area is under the high landslide susceptibility zone. A region with a high susceptibility class should be avoided from further development and planning to prevent further loss of life, property damage, and possible mitigation steps can be taken up.KeywordsGISRemote sensingFrequency ratioWeight of evidenceTerrain parameters
Published Version
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