Acta Optica Sinica, Volume. 44, Issue 12, 1228005(2024)

Stability Analysis of Radiometric Properties in Visible On-Board Calibration System of FY-3B Satellite Medium-Resolution Spectral Imager

Dandan Zhi*, Qichang Zhao, Zijun Wang, Jingjing Ma, Liguo Zhang, Sifeng Zhu, and Aiming Zhou
Author Affiliations
  • Shanghai Institute of Satellite Engineering, Shanghai 201109, China
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    Figures & Tables(11)
    Illustration of visible on-board calibration (VOC) system radiometric properties stability analysis
    MERSI VOC. (a) Schematic of VOC system; (b) three-dimensional structure of lens optical axis point of VOC
    Sunlight-based calibration. (a) MERSI band 1 DN value as a function of solar zenith; (b) multiyear sunlight-based calibration DN value for MERSI band 1
    Variation of DN values for sunlight-based calibration MERSI 17 reflective solar bands (band 6 and band 7 are not under consideration)
    Time series of TOA reflectance measured by MODIS versus BRDF model fitting. Measured data are represented as M, and model fitted data are represented as F
    Time series of BRDF modeling residuals
    MERSI absolute radiometric response degradation trends based on cross calibration with MODIS
    Lifetime plots of comparison of VOC system normalized radiometric output for wavelengths centered at 550 nm and 650 nm between results given by proposed method and those obtained from trap detectors
    • Table 1. Basic information for MERSI system

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      Table 1. Basic information for MERSI system

      BandCentral wavelength /μmBandwidth /μmInstantaneous field of view /m

      Noise equivalent reflectance ρ /% or

      temperature difference(300 K)(reported for Band 5)

      Dynamic

      range

      10.4700.052500.45100%
      20.5500.052500.40100%
      30.6500.052500.40100%
      40.8650.052500.45100%
      511.252.52500.4 K330 K
      61.6400.0510000.0890%
      72.1300.0510000.0790%
      80.4120.0210000.1080%
      90.4430.0210000.1080%
      100.4900.0210000.0580%
      110.5200.0210000.0580%
      120.5650.0210000.0580%
      130.6500.0210000.0580%
      140.6850.0210000.0580%
      150.7650.0210000.0580%
      160.8650.0210000.0590%
      170.9050.0210000.1090%
      180.9400.0210000.1090%
      190.9800.0210000.1090%
      201.0300.0210000.1090%
    • Table 2. TOA BRDF model fitting coefficients

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      Table 2. TOA BRDF model fitting coefficients

      Band 1Band 2Band 3Band 4Band 5Band 6Band 7
      f10.467500.593600.245760.340240.684500.735300.67400
      f2-0.04372-0.068040.104400.03596-0.18533-0.19240-0.17271
      f30.023680.02920-0.003020.009100.047410.052730.05296
      RMS0.0077620.0090200.0060930.0064340.0114200.0121200.012970
    • Table 3. VOC system radiometric performance annual degradation rates (%) at different central wavelengths (nm)

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      Table 3. VOC system radiometric performance annual degradation rates (%) at different central wavelengths (nm)

      Year4705506508654124434905205656506857658659059409801030
      B1B2B3B4B8B9B10B11B12B13B14B15B16B17B18B19B20
      20102.701.932.651.732.922.672.782.792.012.612.572.171.911.501.101.110.28
      201147.0540.2837.0424.3846.7649.5147.1244.0539.1636.5135.1030.0726.3220.9315.6815.4510.43
      201245.8735.1525.4114.4939.0145.8243.1238.8332.6924.9422.3418.3715.2111.498.639.7311.98
      201327.7820.5513.336.9218.6324.5825.7424.2519.0513.0710.798.736.914.763.134.867.56
      201412.169.606.073.044.608.6011.5511.959.035.944.633.772.881.580.441.853.91
      20153.923.522.391.181.641.634.194.813.332.331.811.471.070.210.700.091.20
      20160.320.790.760.364.241.101.041.560.700.720.620.490.320.290.960.730.43
      20170.791.020.740.334.130.671.561.890.830.700.630.480.310.170.570.690.54
      20180.150.220.180.081.910.640.190.450.180.170.160.120.070.070.170.210.13
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    Dandan Zhi, Qichang Zhao, Zijun Wang, Jingjing Ma, Liguo Zhang, Sifeng Zhu, Aiming Zhou. Stability Analysis of Radiometric Properties in Visible On-Board Calibration System of FY-3B Satellite Medium-Resolution Spectral Imager[J]. Acta Optica Sinica, 2024, 44(12): 1228005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 21, 2023

    Accepted: Nov. 3, 2023

    Published Online: Mar. 7, 2024

    The Author Email: Zhi Dandan (1416652331@qq.com)

    DOI:10.3788/AOS231448

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