• DocumentCode
    2706242
  • Title

    Correlation between MODIS aerosol optical depth and air pollution index — A case study of Zhengzhou city in Henan Province, China

  • Author

    Li, Chenglin ; Liu, Yong ; Tian, Hongwei

  • Author_Institution
    Collage of Earth & Environ. Sci., Lanzhou Univ., Lanzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor on NASA´s Terra satellite provides high quality data for retrieval of aerosol optical depth (AOD). In this paper, a novel approach is proposed to retrieve AOD at 1000m resolution over Zhengzhou city. Then Correlation analysis of AOD derived from MODIS data and Air Pollution Index (API) measured at 3 monitoring sites affiliated to Zhengzhou Environmental Protection Agency (EPA) in 2009 shows the average value of the correlation coefficients from the 3 sites is only 0.2936. When AOD is amended by aerosol scaling height (ASH), it rises to 0.4142. Then the regression analysis of API with the corrected AOD, Angstrom exponent and water vapor content shows that AOD from MODIS data can be an effective token of API and distribution maps of API can be drawn using the model derived from the regression analysis.
  • Keywords
    aerosols; air pollution measurement; atmospheric optics; atmospheric techniques; radiometry; regression analysis; remote sensing; AOD retrieval; ASH; China; EPA; Environmental Protection Agency; Henan province; MODIS aerosol optical depth; Moderate Resolution Imaging Spectroradiometer; NASA Terra satellite; Zhengzhou city; aerosol scaling height; air pollution index; high quality data; regression analysis; Aerosols; Air pollution; Cities and towns; Correlation; Land surface; Land surface temperature; MODIS; Moderate Resolution Imaging Spectroradiometer (MODIS); aerosol optical depth (AOD); air pollution index (API);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980712
  • Filename
    5980712