Landslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India

1
Ramlakhan Yadav
Ramlakhan Yadav
2
Dr. Neelam Rawat
Dr. Neelam Rawat
1 KUMAUN UNIVERSITY

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GJSFR Volume 16 Issue H4

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Landslides are one of the critical natural processes, which cause enormous damage to life and property. These include roads, railways, bridges, dams, houses and also lead to loss of life. Hence, there is a need for landslide hazard zonation for identification of potential landslide areas. The present study is an attempt towards development of a landslide model by using multicriteria decision analysis in GIS and remote sensing techniques for landslide hazard zonation. Pauri district was selected for this project. ResourceSAT-2 LISS-4-Mx satellite imageries, SOI topographical maps, and ancillary data were used as inputs to the study. The data layers of Landuse-landcover and Geology were interpreted from satellite image and available ancillary data. Other raster thematic layers i.e. Slope, Aspect, Elevation and Drainage density have been generated in Arc info 3D Analyst Tool using ASTER DEM of 30 m. resolution.

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Ramlakhan Yadav. 2016. \u201cLandslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India\u201d. Global Journal of Science Frontier Research - H: Environment & Environmental geology GJSFR-H Volume 16 (GJSFR Volume 16 Issue H4): .

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GJSFR Volume 16 Issue H4
Pg. 65- 71
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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-H Classification: FOR Code: 961099
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November 22, 2016

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English

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Landslides are one of the critical natural processes, which cause enormous damage to life and property. These include roads, railways, bridges, dams, houses and also lead to loss of life. Hence, there is a need for landslide hazard zonation for identification of potential landslide areas. The present study is an attempt towards development of a landslide model by using multicriteria decision analysis in GIS and remote sensing techniques for landslide hazard zonation. Pauri district was selected for this project. ResourceSAT-2 LISS-4-Mx satellite imageries, SOI topographical maps, and ancillary data were used as inputs to the study. The data layers of Landuse-landcover and Geology were interpreted from satellite image and available ancillary data. Other raster thematic layers i.e. Slope, Aspect, Elevation and Drainage density have been generated in Arc info 3D Analyst Tool using ASTER DEM of 30 m. resolution.

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Landslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India

Ramlakhan Yadav
Ramlakhan Yadav KUMAUN UNIVERSITY
Dr. Neelam Rawat
Dr. Neelam Rawat

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