Determination of Slope Instability Using Spatially Integrated Mapping Framework

The determination and identification of slope instability are often rely on data obtained from in-situ soil investigation work where it involves the logistic of machineries and manpower, thus these aspects may increase the cost especially for remote locations. Therefore a method, which is able to id...

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Main Authors: Baharuddin, I.N.Z., Omar, R.C., Roslan, R., Khalid, N.H.N., Hanifah, M.I.M.
Format: Article
Language:English
Published: 2018
Online Access:http://dspace.uniten.edu.my/jspui/handle/123456789/8336
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spelling my.uniten.dspace-76672018-03-19T00:59:38Z Determination of Slope Instability Using Spatially Integrated Mapping Framework Baharuddin, I.N.Z. Omar, R.C. Roslan, R. Khalid, N.H.N. Hanifah, M.I.M. The determination and identification of slope instability are often rely on data obtained from in-situ soil investigation work where it involves the logistic of machineries and manpower, thus these aspects may increase the cost especially for remote locations. Therefore a method, which is able to identify possible slope instability without frequent ground walkabout survey, is needed. This paper presents the method used in prediction of slope instability using spatial integrated mapping framework which applicable for remote areas such as tropical forest and natural hilly terrain. Spatial data such as geology, topography, land use map, slope angle and elevation were used in regional analysis during desktop study. Through this framework, the occurrence of slope instability was able to be identified and was validate using a confirmatory site- specific analysis. © Published under licence by IOP Publishing Ltd. 2018-01-11T10:03:21Z 2018-01-11T10:03:21Z 2016 Article http://dspace.uniten.edu.my/jspui/handle/123456789/8336 10.1088/1757-899X/160/1/012080 en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description The determination and identification of slope instability are often rely on data obtained from in-situ soil investigation work where it involves the logistic of machineries and manpower, thus these aspects may increase the cost especially for remote locations. Therefore a method, which is able to identify possible slope instability without frequent ground walkabout survey, is needed. This paper presents the method used in prediction of slope instability using spatial integrated mapping framework which applicable for remote areas such as tropical forest and natural hilly terrain. Spatial data such as geology, topography, land use map, slope angle and elevation were used in regional analysis during desktop study. Through this framework, the occurrence of slope instability was able to be identified and was validate using a confirmatory site- specific analysis. © Published under licence by IOP Publishing Ltd.
format Article
author Baharuddin, I.N.Z.
Omar, R.C.
Roslan, R.
Khalid, N.H.N.
Hanifah, M.I.M.
spellingShingle Baharuddin, I.N.Z.
Omar, R.C.
Roslan, R.
Khalid, N.H.N.
Hanifah, M.I.M.
Determination of Slope Instability Using Spatially Integrated Mapping Framework
author_facet Baharuddin, I.N.Z.
Omar, R.C.
Roslan, R.
Khalid, N.H.N.
Hanifah, M.I.M.
author_sort Baharuddin, I.N.Z.
title Determination of Slope Instability Using Spatially Integrated Mapping Framework
title_short Determination of Slope Instability Using Spatially Integrated Mapping Framework
title_full Determination of Slope Instability Using Spatially Integrated Mapping Framework
title_fullStr Determination of Slope Instability Using Spatially Integrated Mapping Framework
title_full_unstemmed Determination of Slope Instability Using Spatially Integrated Mapping Framework
title_sort determination of slope instability using spatially integrated mapping framework
publishDate 2018
url http://dspace.uniten.edu.my/jspui/handle/123456789/8336
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score 13.160551