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

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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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Bibliographic Details
Main Authors:	Hj. Mohd. Noor, Norzailawati, Mazlan, Hashim
Format:	Article
Language:	English
Published:	Malaysian Remote Sensing Society 2011
Subjects:	G Geography (General) H Social Sciences (General) HD Industries. Land use. Labor Q Science (General)
Online Access:	http://irep.iium.edu.my/7162/ http://irep.iium.edu.my/7162/1/Remote%26GIS_7162.pdf

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