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     Research Journal of Applied Sciences, Engineering and Technology


Using Frequency Ratio Method for Spatial Landslide Prediction

1Mirnazari, Javad, 1Ahmad, Baharin, 2Mojaradi, Barat and 1Sattari, Farshid
1Department of Geoinformation, Faculty of Geoinformation and Real Estate, UTM University Malaysia, Malaysia
2School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2014  15:3174-3180
http://dx.doi.org/10.19026/rjaset.7.658  |  © The Author(s) 2014
Received: October 26, 2013  |  Accepted: November 08, 2013  |  Published: April 19, 2014

Abstract

Numerous landslides have occurred in the study area and they damage to agriculture and pasturelands. Since the study area do not have any landslide inventory and landslide predicted maps, landslide inventory produced based on field research (GPS) and satellite image (Geoeye and Ikonos). Frequency ratio technique is a statistical approach to simulation environmental conditions. It also uses to take the factors related to dependent variable. Frequency technique considered for generating landslide susceptibility map. Pixel landsliding and non-landsliding calculated in eight factors related-landslide. Landslide susceptibility map produce in five insensitive to very high sensitive classes based on natural breaks method. Receiver Operating Characteristics (ROC) graph implement to evaluate of the frequency ratio method. In particular, the model will be able to predict landslide area occurrence in future completely (sensitivity = 1). Although, model identify insensitive area with 17% errors (specificity = 0.83).

Keywords:

Frequency ratio, landslide, ROC curve, validation,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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