• DocumentCode
    513145
  • Title

    An analysis on the coupling relationship between urban vegetation and land surface temperature in Hangzhou based on ASTER imagery

  • Author

    Huang, Chudong ; Chen, Qianhu ; Ying, Si´ai ; Zhao, Feng ; Shao, Yun ; Yu, Wenbo ; Chen, Jinsong ; Liu, Fuying ; Xu, Xin ; Li, Jing

  • Author_Institution
    Coll. of Civil Eng. & Archit., Zhejiang Univ. of Technol., Hangzhou, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    The coupling relationship between urban vegetation and land surface temperature (LST) has been of great interest to a variety of environmental studies. This paper retrieves the urban vegetation and LST utilizing Terra ASTER imagery in the year 2007, and analyzes their coupling relationships accordingly, so as to provide the basis for decision making of ecological planning and environment protection. It turns out that NDVI, urban vegetation abundance (UVA) and urban forest abundance (UFA) are all in negative correlation with land surface temperature (LST), so that Urban vegetation and urban forest are both capable in decreasing LST. The influence of urban vegetation and urban forest varies with pixel aggregation, and peaks around 90 m ~ 120 m resolution. At the end of this paper, some future efforts on the analysis are pointed out.
  • Keywords
    decision making; ecology; land surface temperature; vegetation; AD 2007; China; Hangzhou; NDVI; Terra ASTER imagery; coupling relationship; decision making; ecological planning; environment protection; land surface temperature; pixel aggregation; urban forest abundance; urban vegetation; urban vegetation abundance; Cities and towns; Educational institutions; Image analysis; Image retrieval; Information retrieval; Land surface; Land surface temperature; Remote sensing; Temperature sensors; Vegetation mapping; coupling relationship; land surface temperature (LST); urban forest abundance (UFA); urban vegetation abundance (UVA);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417771
  • Filename
    5417771