• DocumentCode
    3533218
  • Title

    A retrieval algorithm for aerosol optical depth from MODIS multi-spatial scale data based on mutual information

  • Author

    Li, Yingjie ; Xue, Yong ; Guang, Jie ; Wang, Ying ; Mei, Linlu

  • Volume
    5
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    A retrieval algorithm for AOD from MODIS multi-spatial scale data with 1 km × 1 km, 500 m × 500 m and 250 m × 250 m resolution based on mutual information (MI) is proposed. The concept of mutual information represents a measure of relative entropy between two sets. In this algorithm, an interpolation formula based on the maximal MI which is used to transform low resolution image into high resolution image is constructed. Then, the AOD with 500 m × 500 m and 250 m × 250 m resolution which are over Heihe Watershed, in Gansu province, China, on 5th July, 2008 are retrieved from TERRA and AQUA MODIS data. Compared with the 500 m × 500 m AOD retrieved by multi-satellite algorithm directly, the AOD with 500 m × 500 m resolution got by the MI algorithm is coincident with absolute error between 0.02-0.03. Preliminary validation result comparing with AERONET measured data shows good accuracy and promising potential. The Further research work is ongoing.
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; remote sensing; AD 2008 07 05; AERONET data comparison; AQUA MODIS data; China; Gansu province; Heihe Watershed; MODIS multispatial scale data; TERRA MODIS data; aerosol optical depth; mutual information; retrieval algorithm; Aerosols; Image resolution; Image retrieval; Information retrieval; MODIS; Mutual information; Optical sensors; Remote sensing; Surface cracks; Surface fitting; MODIS; aerosol optical depth (AOD); multi-spatial scale; mutual information (MI); remote sensing retrieval;
  • 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.2009.5417623
  • Filename
    5417623