Fuzzy Knowledge Based GIS for Zonation of Landslide Susceptibility [chapter]

J. K. Ghosh, Devanjan Bhattacharya, Swej Kumar Sharma
2012 Understanding Complex Systems  
Landslides are among the major natural disasters in the world. It is a common phenomenon especially in a tectonically fragile and sensitive mountainous terrain like the lower Indian Himalayas [1]. Landslides cause loss of life and property, damage to natural resources, and hamper developmental projects like roads, dams, communication lines, bridges etc. The high susceptibility to landslides of the mountainous regions is mainly due to complex geological setting with the contemporary crustal
more » ... tments, varying slopes and relief, heavy snow and rainfall along with ever-increasing human interference [2] . To take a quick and safer mitigation measure and strategic planning, identification of landslide prone areas and Landslide Susceptibility Zonation (LSZ) is important. A comparison of the distribution of different causative factors allows identifying the areas with varying landslide potential which is a complex task as the occurrence of landslide is dependent on many factors [3]. Several field-based hazard zonation techniques have been applied in the last few decades to the problem of landslide categorization [4]. These approaches have some drawbacks such as: repetitive coverage of area is difficult, manual overlay of thematic maps is a time consuming and tedious job, the extent of area covered is generally small, and in most of the cases landslide identification is close to road and thus interior parts are not covered. These problems are removed with the advent of satellite data and processing using geographical information system (GIS). It is now possible to efficiently and correctly collect and manipulate a variety of spatial
doi:10.1007/978-3-642-29329-0_2 fatcat:rkz52khmufgvvmdkao5kwe5gmy