• DocumentCode
    2319412
  • Title

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

  • Author

    bin Ibrahim, A.L. ; Sarvestani, Mahdi Sabet

  • Author_Institution
    Dept. of Remote Sensing, UTM, Skudai
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • 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 Shiraz 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.
  • Keywords
    environmental management; geographic information systems; geophysical signal processing; pattern recognition; remote sensing; sustainable development; town and country planning; AD 1976 to 2005; GIS; Iran; Shiraz city; environmental studies; geoinformation sciences; natural resources destruction; population census; remote sensing; sustainable development; urban growth; urban planning; urban sprawl pattern recognition; vegetation coverage; Cities and towns; Geographic Information Systems; Pattern recognition; Protection; Remote sensing; Satellites; Sustainable development; Urban planning; Vegetation mapping; Water resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Electronic_ISBN
    978-1-4244-3461-9
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137528
  • Filename
    5137528