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

Ramlakhan Yadav

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

Ramlakhan Yadav * §

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

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Abstract

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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1. (null). Figure 1: Location of Pauri Garhwal District within India and Uttarakhand. Figure 1: Location of Pauri Garhwal District within India and Uttarakhand.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Ramlakhan Yadav. 2016. "Landslide Hazard Zonation using Quantitative Methods in GIS, Pauri Garhwal District, Uttarakhand, India". 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

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Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

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Classification

GJSFR-H Classification FOR Code: 961099

Submission ReceivedSeptember 12, 2016
Peer Review Double Blind
Handling Editor
Accepted October 10, 2016
Published November 22, 2016

Version of record

v1.2

Issue date

November 22, 2016

Language

English

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Science Frontier Research - H: Environment & Environmental geology

Authors: Ramlakhan Yadav, Dr. Neelam Rawat (PhD/Dr. count: 1)

View Count (all-time): 375

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Publish Date: 2016 10, Tue

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Total Views: 1.3K

Total Downloads: 118

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