International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Analysis Study Research Paper | Geography | India | Volume 13 Issue 10, October 2024 | Rating: 5.1 / 10


Application of Remote Sensing and GIS in Landslide Mapping and Management

Anand Rameshrao Dhote


Abstract: Landslide is most decisive nature hazard in hilly area. In India Himalaya and Western Ghats region have many hot spots of landslide. Reason of landslide is natural as well as man-made. In recent years the frequency of landslide is increase and main reason behind it, is rapid development of infrastructure like roads, dams, canals and building in hilly areas so the natural ecosystem of the hilly area is disturbed and frequent occurrence of climatic events also main reason behind it. For the complete landslide hazard management and mitigation, complete assessment of the hilly area is most important, and also find out factors which decisive for creating instability in the region. For the multidimensional study of hilly region particularly landslide hazard approach, there is a need of multidisplinary studies which include geology, hydrogeology and, geomorphology etc. and also need of different government agency and stakeholders also. From all point of view identification and mapping of landslide hot spots in hilly area is fast task in landslide management and mitigation for that purpose spatial-temporal data of various elements is required. In inaccessible hilly area Remote sensing images provide many useful information of land use land cover and change in terrain of this area. GIS provide tools of spatial data analysis and quarries and DEM models helps in landslide mapping and management. In this paper author explain the role of Remote Sensing and GIS in landslide mapping and management.


Keywords: Landslide, GIS, Remote Sensing Image, DEM models


Edition: Volume 13 Issue 10, October 2024,


Pages: 583 - 585





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