• DocumentCode
    513396
  • Title

    Design and application of Haze Optic Thickness retrieval model for Beijing Olympic Games

  • Author

    Li, Shenshen ; Chen, Liangfu ; Zheng, Fengbin ; Han, Dong ; Wang, Zifeng

  • Author_Institution
    State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    On the eve of Beijing Olympic Games (BOG), frequent haze days had been extensively concerned by home and abroad. Ground-based and satellite remote sensing project was carried out to monitor haze distribution and intension by Chinese Academy of Sciences. Based on the assumption that surface reflectance vary slowly in a relative short period, the Haze Optical Thickness (HOT) retrieval model using MODIS data is established. Aerosol type is selected according to the ground experiment of haze particle composing in Central North China Plain. This model avoid that NASA Dense Dark Vegetation (DDV) algorithm couldn´t determine the radio of surface reflectance between middle-IR and visible channel on haze day. From Jun. 1st to Sep. 30th, 2008, AOT observed by sun photometer (CE318) on the ground was used to validate HOT, and it had shown good coherence.
  • Keywords
    aerosols; atmospheric optics; atmospheric techniques; remote sensing; AD 2008 06 01 to 09 30; Beijing Olympic Games; CE318 sun photometer; Chinese Academy of Sciences; MODIS data; aerosol optical thickness; central north China plain; ground based remote sensing; haze distribution; haze optic thickness retrieval model; haze particles; satellite remote sensing; surface reflectance; Aerosols; Information retrieval; MODIS; NASA; Optical design; Optical sensors; Optical variables control; Reflectivity; Remote monitoring; Satellite broadcasting; BOG; HOT; MODIS; surface reflectance;
  • 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.2009.5418130
  • Filename
    5418130