Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts

The paper explores a framework combining remote sensing and GIS-cellular automata concepts aimed at improving the modeling of un-authorized land use sprawl. We highlighted that integration in system analysis will lead to new levels of understanding of how urban areas grow and change. Further, we des...

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Main Authors: Hj. Mohd. Noor, Norzailawati, Mazlan, Hashim
Format: Article
Language:English
Published: Malaysian Remote Sensing Society 2011
Subjects:
Online Access:http://irep.iium.edu.my/7162/
http://irep.iium.edu.my/7162/1/Remote%26GIS_7162.pdf
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author Hj. Mohd. Noor, Norzailawati
Mazlan, Hashim
author_facet Hj. Mohd. Noor, Norzailawati
Mazlan, Hashim
author_sort Hj. Mohd. Noor, Norzailawati
building IIUM Repository
collection Online Access
description The paper explores a framework combining remote sensing and GIS-cellular automata concepts aimed at improving the modeling of un-authorized land use sprawl. We highlighted that integration in system analysis will lead to new levels of understanding of how urban areas grow and change. Further, we described land use sprawl simulation for the city of Kuantan in Malaysia, in which the urban cellular automata (CA) concept is used. The model for Kuantan city was calibrated and tested with the aid of measured time-series data on land use, through a set of statistical analyses. The fifteen-year simulation until 2015 was run. In essence, the finding is able to predict the spontaneous sprawls of un-authorized land use within conditions stated and can be used to interpret and visualize the dynamic process of urban sprawl locally.
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institution International Islamic University Malaysia
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publishDate 2011
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spelling iium-71622021-07-22T16:22:40Z http://irep.iium.edu.my/7162/ Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts Hj. Mohd. Noor, Norzailawati Mazlan, Hashim G Geography (General) H Social Sciences (General) HD Industries. Land use. Labor Q Science (General) The paper explores a framework combining remote sensing and GIS-cellular automata concepts aimed at improving the modeling of un-authorized land use sprawl. We highlighted that integration in system analysis will lead to new levels of understanding of how urban areas grow and change. Further, we described land use sprawl simulation for the city of Kuantan in Malaysia, in which the urban cellular automata (CA) concept is used. The model for Kuantan city was calibrated and tested with the aid of measured time-series data on land use, through a set of statistical analyses. The fifteen-year simulation until 2015 was run. In essence, the finding is able to predict the spontaneous sprawls of un-authorized land use within conditions stated and can be used to interpret and visualize the dynamic process of urban sprawl locally. Malaysian Remote Sensing Society 2011-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/7162/1/Remote%26GIS_7162.pdf Hj. Mohd. Noor, Norzailawati and Mazlan, Hashim (2011) Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts. Malaysia Journal of Remote Sensing & GIS, 2 (1). pp. 30-39. ISSN 1511-7049 http://mrss.com.my/journal.html
spellingShingle G Geography (General)
H Social Sciences (General)
HD Industries. Land use. Labor
Q Science (General)
Hj. Mohd. Noor, Norzailawati
Mazlan, Hashim
Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
title Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
title_full Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
title_fullStr Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
title_full_unstemmed Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
title_short Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
title_sort land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts
topic G Geography (General)
H Social Sciences (General)
HD Industries. Land use. Labor
Q Science (General)
url http://irep.iium.edu.my/7162/
http://irep.iium.edu.my/7162/
http://irep.iium.edu.my/7162/1/Remote%26GIS_7162.pdf