UGC Approved Journal no 63975(19)

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Published in:

Volume 5 Issue 12
December-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREC06047


Registration ID:
233645

Page Number

404-408

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Title

Comparative Study Of Data Driven Landslide Hazard Zonation Techniques

Authors

Abstract

Landslide hazard zonation (LHZ) mapping of Tehri reservoir rim region has been carried out using two data driven methods namely: landslide frequency ratio and binary logistic regression. Ten terrain parameters namely, soil cover, aspect, slope angle, lithology, relative relief, land use land cover, drainage buffer, road buffer, reservoir buffer and photo-lineament has been selected to carry out LHZ mapping of Tehri reservoir rim. Area under curve technique has been used to assess the accuracy achieved from the two methods. Landslide frequency ratio method gave 72% accuracy and logistic regression method resulted in achieving 82% accuracy.

Key Words

Comparative Study Of Data Driven Landslide Hazard Zonation Techniques

Cite This Article

"Comparative Study Of Data Driven Landslide Hazard Zonation Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.404-408, December 2018, Available :http://www.jetir.org/papers/JETIREC06047.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Comparative Study Of Data Driven Landslide Hazard Zonation Techniques ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp404-408, December 2018, Available at : http://www.jetir.org/papers/JETIREC06047.pdf

Publication Details

Published Paper ID: JETIREC06047
Registration ID: 233645
Published In: Volume 5 | Issue 12 | Year December-2018
DOI (Digital Object Identifier):
Page No: 404-408
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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