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Urban sprawl pattern recognition using remote sensing and GIS - case study Shiraz city, Iran

Ibrahim, Ab. Latif and Sarvestani, Mahdi Sabet (2009) Urban sprawl pattern recognition using remote sensing and GIS - case study Shiraz city, Iran. In: 2009 Joint Urban Remote Sensing Event. Institute of Electrical and Electronics Engineers, New York, pp. 1-5.

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Official URL: http://dx.doi.org/10.1109/URS.2009.5137528

Abstract

In this research with respect to increasing role of Geoinformation sciences in environmental studies and the importance of sustainable development in urban planning, Shiraz city as the most important city in the southern part of Iran was selected for urban growth studies and the estimation of natural resources destruction during past three decades. For this purpose different satellite images of the study area since 1976 to 2005, and population censuses of Shiraz city in this time period were used. Four main land use types such as water, constructed areas, vegetation and bareland areas were classified from satellite images of Shirajz city. Then land use coverage for different dates of the classified maps have been measured and with respect to population, the built-up and vegetation per capita also calculated. The results of this study showed that in despite of general belief, in recent years the vegetation coverage has not decreased extremely but it was not grown correspondingly to urban growth. It is recommended that the future planning will be more focused on protection of available vegetation and compensation of destroyed coverage.

Item Type:Book Section
Additional Information:2009 Joint Urban Remote Sensing Event; Shanghai; 20 May 2009 through 22 May 2009
Uncontrolled Keywords:environmental studies, future planning, geo-information, land use type, per capita, population census, remote sensing and gis, satellite images, study areas, time periods, urban growth, urban sprawl, vegetation coverage
Subjects:G Geography. Anthropology. Recreation > G Geography (General)
Divisions:Geoinformation Science And Engineering (Formerly known)
ID Code:13178
Deposited By: Liza Porijo
Deposited On:20 Jul 2011 09:01
Last Modified:20 Jul 2011 09:01

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