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Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing

The aim of this study was to evaluate the landslide susceptibility in Kota Kinabalu area, Sabah, using the Geographic Information System (GIS) and Remote Sensing tools. In this study, the landslide susceptibility was analyzed using the Probabilistic Frequency Ratio (PFR) model. Based on the PFR anal...

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Main Author: Alvyn Clancey Mickey
Format: Thesis
Language:English
English
Published: 2011
Subjects:
QE500-639.5 Dynamic and structural geology
Online Access:https://eprints.ums.edu.my/id/eprint/42529/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/42529/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/42529/
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spelling my.ums.eprints.425292025-01-07T03:45:19Z https://eprints.ums.edu.my/id/eprint/42529/ Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing Alvyn Clancey Mickey QE500-639.5 Dynamic and structural geology The aim of this study was to evaluate the landslide susceptibility in Kota Kinabalu area, Sabah, using the Geographic Information System (GIS) and Remote Sensing tools. In this study, the landslide susceptibility was analyzed using the Probabilistic Frequency Ratio (PFR) model. Based on the PFR analysis model, three main causative factors were identified for the landslide occurrences in the study area; the geomorphological factor, the human factor and the geological factor. The geomorphological factor (79.21%) was the most influencial causative factor followed by the human factor (72.42%). The relations between the attribute factors and landslide locations in the study area were determined by their likelihood value based on the spatial analysis. Generally, areas generally featuring steep slope gradient and widely underlain by river (1st order) with human interference in the natural setting of thick forest cover was prone to landslide occurrence. 2011 Thesis NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/42529/1/24%20PAGES.pdf text en https://eprints.ums.edu.my/id/eprint/42529/2/FULLTEXT.pdf Alvyn Clancey Mickey (2011) Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing. Masters thesis, Universiti Malaysia Sabah.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
English
topic QE500-639.5 Dynamic and structural geology
spellingShingle QE500-639.5 Dynamic and structural geology
Alvyn Clancey Mickey
Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing
description The aim of this study was to evaluate the landslide susceptibility in Kota Kinabalu area, Sabah, using the Geographic Information System (GIS) and Remote Sensing tools. In this study, the landslide susceptibility was analyzed using the Probabilistic Frequency Ratio (PFR) model. Based on the PFR analysis model, three main causative factors were identified for the landslide occurrences in the study area; the geomorphological factor, the human factor and the geological factor. The geomorphological factor (79.21%) was the most influencial causative factor followed by the human factor (72.42%). The relations between the attribute factors and landslide locations in the study area were determined by their likelihood value based on the spatial analysis. Generally, areas generally featuring steep slope gradient and widely underlain by river (1st order) with human interference in the natural setting of thick forest cover was prone to landslide occurrence.
format Thesis
author Alvyn Clancey Mickey
author_facet Alvyn Clancey Mickey
author_sort Alvyn Clancey Mickey
title Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing
title_short Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing
title_full Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing
title_fullStr Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing
title_full_unstemmed Landslide susceptibility mapping of Kota Kinabalu area Sabah using GIS and remote sensing
title_sort landslide susceptibility mapping of kota kinabalu area sabah using gis and remote sensing
publishDate 2011
url https://eprints.ums.edu.my/id/eprint/42529/1/24%20PAGES.pdf
https://eprints.ums.edu.my/id/eprint/42529/2/FULLTEXT.pdf
https://eprints.ums.edu.my/id/eprint/42529/
_version_ 1821003229203267584
score 13.235796

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