• DocumentCode
    2319379
  • Title

    Accuracy assessments of MODIS aerosol retrievals

  • Author

    Wang, Bin ; Jiang, Hong ; Ma, Yuandan ; Chen, Jian ; Zishan Jiang ; Zhou, Guomo ; Yu, Shuquan

  • Author_Institution
    Int. Res. Center of Spatial Ecology & Ecosyst. Ecology, Zhejiang Forestry Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    20-22 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol products have been extensively used to address ecological environment and climate change issues in many countries and regions. However, the retrieval quality of the MODIS aerosol products in different regions is the international research hotpot. The paper presents aerosol optical depth (AOD) data retrieved from MODIS in Ningbo, Lin´an and Qiandaohu cities in the Yangtze River Delta. The quality of the MODIS aerosol products in these regions has been evaluated using the Aerosol Robotic Network (AERONET) data derived from our ground sunphotometer measurements in these three regions in year 2008. The accuracy of the AOD retrieved from MODIS is the best in Lin´an and Ningbo (correlation coefficient R2 is greater than 0.92), the lowest in Qiandaohu (R2 is 0.72). Results indicated that the retrieval errors are primarily due to the different underlying surface reflectance and aerosol models. The retrieval errors are not obvious when input the true aerosol models, which mainly because the underlying surface conditions have less seasonally changes in these regions. Therefore, the aerosol models and models are the dominant factors which influence the accuracy of MODIS retrieval performance. In addition, the correction of humidity is important to improve the retrieval accuracy.
  • Keywords
    aerosols; radiometry; remote sensing; AD 2008; AERONET data; Aerosol Robotic Network; Lin´an; MODIS aerosol retrievals; Moderate Resolution Imaging Spectroradiometer; Ningbo; Qiandaohu; Yangtze River Delta; accuracy assessment; aerosol optical depth; climate change issues; ecological environment issues; Aerosols; Air pollution; Atmospheric measurements; Image retrieval; MODIS; Optical scattering; Pollution measurement; Reflectivity; Remote sensing; Rivers; AERONET; MODIS; aerosol optical depth (AOD); retrieval; the Yangtze River Delta;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event, 2009 Joint
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3460-2
  • Type

    conf

  • DOI
    10.1109/URS.2009.5137527
  • Filename
    5137527