Acta Optica Sinica, Volume. 43, Issue 24, 2401006(2023)

Aerosol Retrieval Using Deep Learning and Radiative Transfer Model

Xiaohu Sun, Lin Sun*, Chen Jia, and Feng Zhou
Author Affiliations
  • College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, Shandong , China
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    Figures & Tables(9)
    Solar (red) and satellite (blue) geometry of Landsat-8 OLI data for study period in Beijing
    Information fitting relationship of satellite geometric parameters in the study area
    Fitting of statistical relationship information between adjacent bands. (a) B1-B2; (b) B2-B3; (c) B3-B4; (d) B4-B5; (e) B5-B6; (f) B6-B7
    DBN structure
    Scatter distribution of aerosol inversion results matched with AERONET measured data. (a) Beijing; (b) Beijing_CAMS; (c) Beijing_RADI; (d) XiangHe; (e) total
    TOA of Landsat-8 changing with the increase of AOD
    Spatial distribution of aerosol optical depth inversion results. (a)(b) RGB map and AOD map obtained by Lansat-8 on 2017-11-15; (c)(d) RGB map and AOD map obtained by Lansat-8 on 2019-09-02; (e)(f) RGB map and AOD map obtained by Lansat-8 on 2019-11-05; (g)(h) RGB map and AOD map obtained by Lansat-8 on 2017-07-10
    • Table 1. Parameter settings for radiative transfer model

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      Table 1. Parameter settings for radiative transfer model

      ParameterSymbolRange or fixed valuePrior information
      Sun zenith angleasol20°-70°Landsat-8 metadata
      View zenith angleavisLandsat-8 metadata
      Relative azimuth anglephiv115°-175°Landsat-8 metadata
      Atmospheric modelidatm2, 3Model default
      Aerosol model(type)iaer1Model default
      AOD0-2AERONET site
      Land surface reflectanceB1, B2 /μm0.01-0.25LaSRC
      B3 /μm0.02-0.35
      B4 /μm0.02-0.4
      B5, B6, B7 /μm0.05-0.5
    • Table 2. Fitted equations between parameter information

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      Table 2. Fitted equations between parameter information

      Statistical typeFitting functionSelection criteria
      Angular geometryF(θS,φ)-1669×θS-1.099+178.1-φ<5
      Visible spectrumF(B1,B2)1.159970×B1+0.0031-B2<2×ERMSB1,B2
      F(B2,B3)1.103085×B2+0.0205-B3<2×ERMSB2,B3
      F(B3,B4)1.264795×B3-0.0192-B4<2×ERMSB3,B4
      SWIRF(B6,B7)1.9036×B62+0.1667×B6+0.0094-B7<2×ERMSB6,B7
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    Xiaohu Sun, Lin Sun, Chen Jia, Feng Zhou. Aerosol Retrieval Using Deep Learning and Radiative Transfer Model[J]. Acta Optica Sinica, 2023, 43(24): 2401006

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Mar. 14, 2023

    Accepted: May. 19, 2023

    Published Online: Dec. 8, 2023

    The Author Email: Sun Lin (sunlin6@126.com)

    DOI:10.3788/AOS230673

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