Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands

This paper presents landslide susceptibility analysis around the Cameron Highlands area, Malaysia using a geographic information system (GIS) and remote sensing techniques. Topographical, geological data and satellite images were collected, processed, and constructed into a spatial database using GI...

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Main Author: Yusrina, Mhamd Azizmy
Format: Undergraduates Project Papers
Language:English
English
English
Published: 2015
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/12207/
http://umpir.ump.edu.my/id/eprint/12207/
http://umpir.ump.edu.my/id/eprint/12207/1/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29.pdf
http://umpir.ump.edu.my/id/eprint/12207/4/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29%20-%20CHAP%203.pdf
http://umpir.ump.edu.my/id/eprint/12207/13/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29%20-%20CHAP%201.pdf
id ump-12207
recordtype eprints
spelling ump-122072016-03-17T03:38:31Z http://umpir.ump.edu.my/id/eprint/12207/ Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands Yusrina, Mhamd Azizmy TA Engineering (General). Civil engineering (General) This paper presents landslide susceptibility analysis around the Cameron Highlands area, Malaysia using a geographic information system (GIS) and remote sensing techniques. Topographical, geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Five landslide occurrence factors were selected as: topographic slope, topographic aspect, rainfall, geology map and land use from satellite images. Previous records of landslides in the study area were mapped based on inventory reports and satellite image processing. Landslide susceptibility map was then generated based on logistic regression equation in a raster GIS environment and classified in five susceptibility classes. The classes are divided into the study area has very low landslide susceptibility, low susceptibility, moderate susceptibility, high susceptibility and very high susceptibility. About 99.978% of the study area has very low landslide susceptibility, 0.003% has low susceptibility, 0.002% has moderate susceptibility, 0.001 % has high susceptibility and 0.015% has very high susceptibility 2015-07 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12207/1/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12207/4/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29%20-%20CHAP%203.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12207/13/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29%20-%20CHAP%201.pdf Yusrina, Mhamd Azizmy (2015) Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands. Faculty of Civil Engineering & Earth Resources, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:92191&theme=UMP2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Yusrina, Mhamd Azizmy
Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands
description This paper presents landslide susceptibility analysis around the Cameron Highlands area, Malaysia using a geographic information system (GIS) and remote sensing techniques. Topographical, geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Five landslide occurrence factors were selected as: topographic slope, topographic aspect, rainfall, geology map and land use from satellite images. Previous records of landslides in the study area were mapped based on inventory reports and satellite image processing. Landslide susceptibility map was then generated based on logistic regression equation in a raster GIS environment and classified in five susceptibility classes. The classes are divided into the study area has very low landslide susceptibility, low susceptibility, moderate susceptibility, high susceptibility and very high susceptibility. About 99.978% of the study area has very low landslide susceptibility, 0.003% has low susceptibility, 0.002% has moderate susceptibility, 0.001 % has high susceptibility and 0.015% has very high susceptibility
format Undergraduates Project Papers
author Yusrina, Mhamd Azizmy
author_facet Yusrina, Mhamd Azizmy
author_sort Yusrina, Mhamd Azizmy
title Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands
title_short Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands
title_full Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands
title_fullStr Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands
title_full_unstemmed Landslide susceptibility mapping using logistic regression method and gis tool in Cameron Highlands
title_sort landslide susceptibility mapping using logistic regression method and gis tool in cameron highlands
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/12207/
http://umpir.ump.edu.my/id/eprint/12207/
http://umpir.ump.edu.my/id/eprint/12207/1/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29.pdf
http://umpir.ump.edu.my/id/eprint/12207/4/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29%20-%20CHAP%203.pdf
http://umpir.ump.edu.my/id/eprint/12207/13/FKASA%20-%20YUSRINA%20BINTI%20MHAMD%20AZIZMY%20%28CD9294%29%20-%20CHAP%201.pdf
first_indexed 2023-09-18T22:13:37Z
last_indexed 2023-09-18T22:13:37Z
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