• DocumentCode
    3021087
  • Title

    Study on urban green landscape pattern based on high resolution remote sensing image

  • Author

    Ye Lizao ; Li Hu ; He Guangjun ; Niu Ting ; Chen Donghua

  • Author_Institution
    Sch. of Geogr. Sci., Fujian Normal Univ., Fuzhou, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    703
  • Lastpage
    706
  • Abstract
    To analyze the number of green landscape patches, their constitutive characteristic and spatial distribution in Karamay, this paper first conducted an extraction of green space information from 2012 QuickBird image of the city by means of combining object-oriented method, NDVI index and texture information together, followed by further division of the green space into six types. Finally, the method of spectrum analysis of landscape patches is applied. The result shows that, in 2012, the area of urban green space of Karamay city is 978.22ha, green space coverage is approximately 38.24%. Residential green space holds a dominant advantage over other types. Inferior are protective and attached green space. Road green space is large in patch numbers but small in the area while park green space is small in both patch numbers and the area. These conclusions can further assist urban green space management and planning in decision-making and provide data support for the analysis of water supply and demand of the city as well.
  • Keywords
    geophysical image processing; geophysical techniques; pattern recognition; remote sensing; vegetation; AD 2012; Karamay city; NDVI index; QuickBird image; green landscape patches; green space division; green space information; high resolution remote sensing image; object-oriented method; road green space; texture information; urban green landscape pattern; urban green space management; urban green space planning; water supply analysis; Cities and towns; Data mining; Feature extraction; Green products; Remote sensing; Roads; Vegetation mapping; Karamay; NDVI; high resolution; landscape pattern; urban green space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885152
  • Filename
    6885152