Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)

Purpose: The purpose of this research is to produce the landslide susceptibility map of Fraser's Hill and its surroundings in Pahang (Malaysia), utilizing remote sensing data and Geographic Information System (GIS) as a way to monitor sustainable highland development. Design/methodology/approa...

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Main Authors: Mohd Shafri, Helmi Zulhaidi, Mohd Zahidi, Izni, Abu Bakar, Shamsul
Format: Article
Language:English
Published: Emerald Group Publishing 2010
Online Access:http://psasir.upm.edu.my/id/eprint/14026/
http://psasir.upm.edu.my/id/eprint/14026/1/Development%20of%20landslide%20susceptibility%20map%20utilizing%20remote%20sensing%20and%20Geographic%20Information%20Systems.pdf
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author Mohd Shafri, Helmi Zulhaidi
Mohd Zahidi, Izni
Abu Bakar, Shamsul
author_facet Mohd Shafri, Helmi Zulhaidi
Mohd Zahidi, Izni
Abu Bakar, Shamsul
author_sort Mohd Shafri, Helmi Zulhaidi
building UPM Institutional Repository
collection Online Access
description Purpose: The purpose of this research is to produce the landslide susceptibility map of Fraser's Hill and its surroundings in Pahang (Malaysia), utilizing remote sensing data and Geographic Information System (GIS) as a way to monitor sustainable highland development. Design/methodology/approach: Ancillary data are collected, processed, and constructed into a spatial database in a GIS platform to produce the satellite image. The factors chosen that influence landslide occurrence are land cover, vegetation index (NDVI), precipitation, and geology. Landslide‐hazardous areas are analyzed and mapped using the landslide‐occurrence factors through the heuristic approach Analytic Hierarchy Process (AHP). Findings: It is demonstrated that the integration of remote sensing data and GIS database is of assistance in managing land‐use planning of sustainable development. The verification with the existing landslides record shows a noteworthy accuracy. Research limitations/implications: The list of data/maps reflects a considerable understanding of the basic cartographic information that is needed to effectively deal with the landslide problem. Practical implications: This approach indicates a potential long‐term application of remote sensing and GIS in managing sustainable highland development by monitoring the hazard‐susceptibility area. Originality/value: The value of the work is in its integration and utilization of remote sensing and GIS to provide sustainable development which can be developed to aid landslide warning systems.
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spelling upm-140262015-10-21T00:29:01Z http://psasir.upm.edu.my/id/eprint/14026/ Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS) Mohd Shafri, Helmi Zulhaidi Mohd Zahidi, Izni Abu Bakar, Shamsul Purpose: The purpose of this research is to produce the landslide susceptibility map of Fraser's Hill and its surroundings in Pahang (Malaysia), utilizing remote sensing data and Geographic Information System (GIS) as a way to monitor sustainable highland development. Design/methodology/approach: Ancillary data are collected, processed, and constructed into a spatial database in a GIS platform to produce the satellite image. The factors chosen that influence landslide occurrence are land cover, vegetation index (NDVI), precipitation, and geology. Landslide‐hazardous areas are analyzed and mapped using the landslide‐occurrence factors through the heuristic approach Analytic Hierarchy Process (AHP). Findings: It is demonstrated that the integration of remote sensing data and GIS database is of assistance in managing land‐use planning of sustainable development. The verification with the existing landslides record shows a noteworthy accuracy. Research limitations/implications: The list of data/maps reflects a considerable understanding of the basic cartographic information that is needed to effectively deal with the landslide problem. Practical implications: This approach indicates a potential long‐term application of remote sensing and GIS in managing sustainable highland development by monitoring the hazard‐susceptibility area. Originality/value: The value of the work is in its integration and utilization of remote sensing and GIS to provide sustainable development which can be developed to aid landslide warning systems. Emerald Group Publishing 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14026/1/Development%20of%20landslide%20susceptibility%20map%20utilizing%20remote%20sensing%20and%20Geographic%20Information%20Systems.pdf Mohd Shafri, Helmi Zulhaidi and Mohd Zahidi, Izni and Abu Bakar, Shamsul (2010) Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS). Disaster Prevention and Management: An International Journal, 19 (1). pp. 59-69. ISSN 0965-3562 10.1108/09653561011022144
spellingShingle Mohd Shafri, Helmi Zulhaidi
Mohd Zahidi, Izni
Abu Bakar, Shamsul
Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)
title Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)
title_full Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)
title_fullStr Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)
title_full_unstemmed Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)
title_short Development of landslide susceptibility map utilizing remote sensing and Geographic Information Systems (GIS)
title_sort development of landslide susceptibility map utilizing remote sensing and geographic information systems (gis)
url http://psasir.upm.edu.my/id/eprint/14026/
http://psasir.upm.edu.my/id/eprint/14026/
http://psasir.upm.edu.my/id/eprint/14026/1/Development%20of%20landslide%20susceptibility%20map%20utilizing%20remote%20sensing%20and%20Geographic%20Information%20Systems.pdf