• DocumentCode
    3323546
  • Title

    Impervious surface coverage and their impact on other components of the urban ecosystem in Beijing

  • Author

    Meng, Dan ; Gong, Huili ; Li, Xiaojuan ; Zhao, Wenji ; Li, Yanfang

  • Author_Institution
    Key Lab. of 3D Inf. Acquisition & Applic., Capital Normal Univ., CNU, Beijing, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2731
  • Lastpage
    2734
  • Abstract
    Using Beijing city as a case, firstly the Impervious Surface Percentage (ISP) are extracted by Linear Spectral Unmixing method in the paper, and the accuracy was tested by aerial photograph with high spatial resolution. Then the information of vegetation percentage, Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) parameters were extracted from HJ-1B remote sensing images. Finally, this paper analyzed the relationship between the above-mentioned components of urban ecosystem. The result shows that there is a strong negative linear relationship between ISP and vegetation percentage, and a strong positive linear relationship between ISP and LST, furthermore ISP is an accurate indicator of UHI effects whereas the relationship between ISP and NDVI is much weaker. The result indicates that the increase of urban impervious surface has a negative impact on the urban ecosystem. In the end of this paper, some suggestions to improve impervious surface and thermal environment of Beijing city were given.
  • Keywords
    ecology; vegetation mapping; Beijing city; ISP; aerial photograph; high spatial resolution; impervious surface coverage; impervious surface percentage; land surface temperature; linear spectral unmixing method; normalized difference vegetation index; urban ecosystem; vegetation percentage; Cities and towns; Ecosystems; Land surface; Land surface temperature; Remote sensing; Satellites; Vegetation mapping; Beijing; Impervious surface; spectral mixture analysis; thermal environment; urban ecosystem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5650899
  • Filename
    5650899