Evaluating urban sprawl using remote sensing and geographic information systems techniques

Urban sprawl and climate change are two main environmental problems of the 21st century, and these two aspects are interconnected. The objectives of this study are to; (i) investigate the process of urban sprawl in Shiraz city, Iran, (ii) describe the history of city growth and to predict the growth...

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Main Author: Sarvestani, Mahdi Sabet
Format: Thesis
Language:English
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/35844/1/MahdiSabetSarvestaniPFGHT.pdf
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.358442018-04-27T01:29:27Z http://eprints.utm.my/id/eprint/35844/ Evaluating urban sprawl using remote sensing and geographic information systems techniques Sarvestani, Mahdi Sabet G70.39-70.6 Remote sensing Urban sprawl and climate change are two main environmental problems of the 21st century, and these two aspects are interconnected. The objectives of this study are to; (i) investigate the process of urban sprawl in Shiraz city, Iran, (ii) describe the history of city growth and to predict the growth using Cellular Automata (CA) environmentally protected scenarios, and (iii) analyze the environmental impact of the past and future urban growth. Urban sprawl of Shiraz city, located in southern part of Iran, in the last 30 years has been measured using multi temporal Landsat and SPOT satellite images taken from four different years; 1976, 1990, 2000 and 2005. Shannon’s entropy method has been used to measure the urban sprawl and the results showed that Shiraz city is in the early stages of sprawl. A Cellular Automata model which is integrated with Markov chain analysis is used to predict the future city growth pattern for the years 2010, 2015 and 2020 by three different designed scenarios. The first scenario takes into account the current growth pattern for the future years, while, the second and the third scenarios have different environmental protection considerations for prediction. The results showed the abilities of CA-Markov based models for city growth simulation. Impacts of urban sprawl on vegetation coverage and water resources for the previous and projected years have been quantified. The results showed that during the past three decades, vegetation coverage and surface water resources in many places have been replaced by the built-up area. It showed that during the past three decades, there was no environmental protection planning over Shiraz city and if the current growth pattern continues in the future, the city will encounter serious environmental problems. 2012-03 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/35844/1/MahdiSabetSarvestaniPFGHT.pdf Sarvestani, Mahdi Sabet (2012) Evaluating urban sprawl using remote sensing and geographic information systems techniques. PhD thesis, Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69964?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic G70.39-70.6 Remote sensing
spellingShingle G70.39-70.6 Remote sensing
Sarvestani, Mahdi Sabet
Evaluating urban sprawl using remote sensing and geographic information systems techniques
description Urban sprawl and climate change are two main environmental problems of the 21st century, and these two aspects are interconnected. The objectives of this study are to; (i) investigate the process of urban sprawl in Shiraz city, Iran, (ii) describe the history of city growth and to predict the growth using Cellular Automata (CA) environmentally protected scenarios, and (iii) analyze the environmental impact of the past and future urban growth. Urban sprawl of Shiraz city, located in southern part of Iran, in the last 30 years has been measured using multi temporal Landsat and SPOT satellite images taken from four different years; 1976, 1990, 2000 and 2005. Shannon’s entropy method has been used to measure the urban sprawl and the results showed that Shiraz city is in the early stages of sprawl. A Cellular Automata model which is integrated with Markov chain analysis is used to predict the future city growth pattern for the years 2010, 2015 and 2020 by three different designed scenarios. The first scenario takes into account the current growth pattern for the future years, while, the second and the third scenarios have different environmental protection considerations for prediction. The results showed the abilities of CA-Markov based models for city growth simulation. Impacts of urban sprawl on vegetation coverage and water resources for the previous and projected years have been quantified. The results showed that during the past three decades, vegetation coverage and surface water resources in many places have been replaced by the built-up area. It showed that during the past three decades, there was no environmental protection planning over Shiraz city and if the current growth pattern continues in the future, the city will encounter serious environmental problems.
format Thesis
author Sarvestani, Mahdi Sabet
author_facet Sarvestani, Mahdi Sabet
author_sort Sarvestani, Mahdi Sabet
title Evaluating urban sprawl using remote sensing and geographic information systems techniques
title_short Evaluating urban sprawl using remote sensing and geographic information systems techniques
title_full Evaluating urban sprawl using remote sensing and geographic information systems techniques
title_fullStr Evaluating urban sprawl using remote sensing and geographic information systems techniques
title_full_unstemmed Evaluating urban sprawl using remote sensing and geographic information systems techniques
title_sort evaluating urban sprawl using remote sensing and geographic information systems techniques
publishDate 2012
url http://eprints.utm.my/id/eprint/35844/1/MahdiSabetSarvestaniPFGHT.pdf
http://eprints.utm.my/id/eprint/35844/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69964?site_name=Restricted Repository
_version_ 1643649857234141184