International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

2023, Vol. 8, Special Issue 6

Mapping of topographical features of landslide affected areas of Kodagu using GIS software


Author(s): Syed Ali, Rohan PL, Shoba S and Ravikumar D

Abstract:
Kodagu is one of the most beautiful district of Karnataka. Kodagu is located on the eastern slopes of the Western Ghats which is well known in the world for coffee and its “brave warriors”. Though it is the most beautiful city in India also it is facing the some of the hazards impacts such as floods, heavy rainfall and landslides. In this present study the topographical features which are responsible factors for the landslides are extracted such as slope, aspect, elevation, contours and drainage and they were investigated in the landslide affected areas. The new approaches of using GIS software for the extraction of these features were studied. The standard methodology of extracting topographic features such as contours, slope and drainage lines of the study area was done using DEM - Arc hydro tool software. As a result, the most of the landslide occurred in the elevation of from 627-1126m and slope at 60% showed the highest landslide area. Major factor drainage map showed that many of the smaller first order streams have dried up reducing the drainage density per unit area and blockage of natural drainage channels, changing the course of flow direction was observed. There is the need of re enabling the natural drainages and steep slope (>30%) need to be stabilized by bench terracing. There are needs to promote cultivation of deep-rooted indigenous plants in affected and vulnerable areas.


Pages: 184-191 | Views: 117 | Downloads: 4

Download Full Article: Click Here
How to cite this article:
Syed Ali, Rohan PL, Shoba S, Ravikumar D. Mapping of topographical features of landslide affected areas of Kodagu using GIS software. Int J Stat Appl Math 2023;8(6S):184-191.

Call for book chapter
International Journal of Statistics and Applied Mathematics