Acta Optica Sinica, Volume. 43, Issue 18, 1828003(2023)

Radiometric Response Evaluation of FY-3D/MERSI-II Reflective Solar Bands Based on Deep Convective Cloud

Bei Zhang1,2, Xiuqing Hu1,2、*, Weiwei Zhou3, Ling Wang1,2, Lin Chen1,2, and Peng Zhang1,2
Author Affiliations
  • 1National Satellite Meteorological Center (National Center for Space Weather), Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, China Meteorological Administration, Beijing 100081, China
  • 2Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
  • 3School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan, China
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    Figures & Tables(13)
    Flowchart of the MERSI-II radiometric response evaluate method based on DCC
    DCC reflectance PDF curves for different VZA angle intervals. (a) 0.65 μm; (b) 1.64 μm
    Normalized monthly DCC reflectance corrected by BRDF models from 2018 to 2022. (a) 0.65 μm; (b) 1.64 μm
    Geographical distribution of monthly DCC from 2020 to 2022. (a) Every April; (b) every July
    Annual variation curves of DCC monthly reflectance from 2018 to 2022. (a) 1.64 μm; (b) 2.13 μm
    Seasonal correction factor of DCC
    Comparison of deseasonalization and BRDF correction results. (a) 0.65 μm; (b) 0.865 μm; (c) 1.64 μm; (d) 2.13 μm
    Normalized monthly DCC reflectance and linear fitting of FY-3D/MERSI-II in RSB from 2018 to 2022. (a) VIS bands; (b) NIR bands; (c) SWIR bands
    • Table 1. FY-3D/MERSI-II spectral channel specifications

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      Table 1. FY-3D/MERSI-II spectral channel specifications

      BandCentral wavelength /μmSpectra bandwidth /μmResolution /mDynamic range
      10.4705025090%
      20.5505025090%
      30.6505025090%
      40.8655025090%
      51.38020/30100090%
      61.64050100090%
      72.13050100090%
      80.41220100030%
      90.44320100030%
      100.49020100030%
      110.55520100030%
      120.67020100030%
      130.70920100030%
      140.74620100030%
      150.86520100030%
      160.905201000100%
      170.936201000100%
      180.940501000100%
      191.030201000100%
      203.8001801000200-350 K
      214.0501551000200-380 K
      227.2005001000180-280 K
      238.5503001000180-300 K
      2410.8001000250180-330 K
      2512.0001000250180-330 K
    • Table 2. Standard deviation of PDF reflectance mean (mode) in different VZA angle intervals

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      Table 2. Standard deviation of PDF reflectance mean (mode) in different VZA angle intervals

      BandCenter wavelength /μmStandard deviation of mean(mode)/%
      No BRDFHu BRDFCERES BRDF
      10.4702.32(1.93)2.22(1.94)1.93(0.76)
      20.5502.62(2.13)2.72(2.11)2.33(0.83)
      30.6502.73(2.22)2.45(2.01)1.65(0.77)
      40.8651.63(1.58)1.53(1.42)1.66(0.73)
      51.3800.83(1.08)1.13(1.28)1.16(1.33)
      61.6400.82(0.89)0.87(0.96)0.98(1.10)
      72.1300.76(0.88)1.26(1.36)1.08(1.21)
      160.9051.44(1.28)1.43(1.12)1.41(0.53)
      170.9361.53(1.28)1.58(1.17)1.66(0.73)
      180.9401.22(1.08)1.37(1.04)1.66(0.67)
      191.0301.47(1.13)1.33(1.02)1.67(0.74)
    • Table 3. Decline rates of DCC reflectance RSD and fluctuation in each channel after deseasonal correction

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      Table 3. Decline rates of DCC reflectance RSD and fluctuation in each channel after deseasonal correction

      Spectral band /μmDecline rate of RSD /%Decline rate of 2δ/mean /%
      0.47010.329.9
      0.5509.627.3
      0.65028.944.3
      0.86516.730.5
      1.38022.452.7
      1.64022.051.2
      2.13023.954.5
      0.90517.633.5
      0.93618.335.6
      0.94018.132.4
      1.03020.442.8
    • Table 4. Summary of the research area, data, and methods

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      Table 4. Summary of the research area, data, and methods

      ConditionParameter
      Spectral bandsB1-B7,B16-19
      Data time2018—2022
      Longitude /(o-180-+180
      Latitude /(o-20-+20
      SZA,VZA /(o≤40
      IR-BT threshold /K≤205
      IR-BT uniformity threshold /K≤1
      VIS uniformity threshold /%≤3
      ReflectanceMonthly PDF mode(VIS/NIR),mean(SWIR)
      Reflectance correctionCERES ice cloud BRDF(VIS/NIR),deseasonal(SWIR)
    • Table 5. Results of FY-3D/MERSI-II reflected solar bands radiation response degradation from 2018 to 2022

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      Table 5. Results of FY-3D/MERSI-II reflected solar bands radiation response degradation from 2018 to 2022

      BandCentral wavelength /μm

      Reflectance mean

      Total degradation rate /%

      Annual degradation rate /%σ/%
      10.4700.89996.91101.38201.1740
      20.5500.88531.73300.34660.9643
      30.6500.89570.14280.02860.9640
      40.8650.91782.20600.44121.0640
      51.3800.502316.15003.23104.0120
      61.6400.224815.57003.11403.5650
      72.1300.150110.67002.13403.1670
      160.9050.86172.55400.51081.7270
      170.9360.75713.60400.72082.5310
      180.9400.84244.57200.91442.9850
      191.0300.82239.76201.95201.1910
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    Bei Zhang, Xiuqing Hu, Weiwei Zhou, Ling Wang, Lin Chen, Peng Zhang. Radiometric Response Evaluation of FY-3D/MERSI-II Reflective Solar Bands Based on Deep Convective Cloud[J]. Acta Optica Sinica, 2023, 43(18): 1828003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 18, 2023

    Accepted: Jul. 18, 2023

    Published Online: Sep. 11, 2023

    The Author Email: Xiuqing Hu (huxq@cma.cn)

    DOI:10.3788/AOS230842

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