• DocumentCode
    3060561
  • Title

    Spatial distribution of PM2.5 concentration based on aerosol optical thickness inverted by Landsat ETM+ data over Chengdu

  • Author

    Weihong Han ; Ling Tong ; Jinping Bai ; Yunping Chen

  • Author_Institution
    Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2250
  • Lastpage
    2253
  • Abstract
    This paper proposes a new method of spatial distribution of PM2.5 concentration, which is based on Aerosol Optical Thickness (AOT) inverted by Landsat7 ETM+ Enhanced Thematic Mapper Plus (ETM+) data and PM2.5 ground-based instruments. The main steps of the method are as follows:(1) Determination of dark pixels, search for the dark surface targets with the 2.2- μm channel; (2) Determination of the surface reflectance in the blue and red channels;(3) AOT retrieval, inverted from Look-up Tables (LUT) established from a set of atmospheric geometrical conditions;(4)Establish the model of PM2.5 predicting with predictors and estimate the PM2.5 value. The study results show that the method is an effective means for predicting the PM2.5 concentration, and a beneficial supplement to the conventional ground-based measurement.
  • Keywords
    aerosols; air quality; atmospheric optics; atmospheric techniques; geometry; table lookup; AOT retrieval; Chengdu; LUT; Landsat7 ETM+ data; Landsat7 ETM+ enhanced thematic mapper plus; PM2.5 concentration prediction; PM2.5 concentration spatial distribution method; PM2.5 ground-based instruments; PM2.5 prediction model; PM2.5 value estimation; PM2.5 value predictors; aerosol optical thickness; atmospheric geometrical condition set; blue channel; conventional ground-based measurement; dark pixel determination; dark surface targets; look-up tables; main method steps; red channel; surface reflectance determination; Aerosols; Atmospheric modeling; Earth; Reflectivity; Remote sensing; Satellites; Table lookup; AOT; Landsat ETM+; PM2.5; air quality; pollution source;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723265
  • Filename
    6723265