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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Malaysian Remote Sensing Society
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Online Access: | http://irep.iium.edu.my/7162/ http://irep.iium.edu.my/7162/ http://irep.iium.edu.my/7162/1/Remote%26GIS_7162.pdf |
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iium-71622011-12-11T05:56:28Z http://irep.iium.edu.my/7162/ Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts 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 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 |
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International Islamic University Malaysia |
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language |
English |
topic |
G Geography (General) H Social Sciences (General) HD Industries. Land use. Labor Q Science (General) |
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G Geography (General) H Social Sciences (General) HD Industries. Land use. Labor Q Science (General) Mohd. Noor, Norzailawati Mazlan, Hashim Land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts |
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. |
format |
Article |
author |
Mohd. Noor, Norzailawati Mazlan, Hashim |
author_facet |
Mohd. Noor, Norzailawati Mazlan, Hashim |
author_sort |
Mohd. Noor, Norzailawati |
title |
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_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_sort |
land use sprawl evolution using remote sensing high resolution data based on cellular automata concepts |
publisher |
Malaysian Remote Sensing Society |
publishDate |
2011 |
url |
http://irep.iium.edu.my/7162/ http://irep.iium.edu.my/7162/ http://irep.iium.edu.my/7162/1/Remote%26GIS_7162.pdf |
first_indexed |
2023-09-18T20:16:27Z |
last_indexed |
2023-09-18T20:16:27Z |
_version_ |
1777407819846254592 |