Laser & Optoelectronics Progress, Volume. 60, Issue 22, 2228007(2023)

Calibration and Validation of FY_3D MERSI-II Based on BRDF model

Yanbing Heng1, Jun Pan1, Hailiang Gao2、*, Kaisi Wang1, and Xinge Dou1
Author Affiliations
  • 1College of Geoexploration Science and Technology, Jilin University, Changchun 130012, Jilin, China
  • 2The Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
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    Figures & Tables(12)
    Relative spectral response function of each band of FY_3D MERSI-II(B1‒B4,B8‒B15)
    Flowchart of FY_3D satellite radiation calibration based on BRDF model
    Comparison results of apparent reflectivity between satellite observation and model calculation under different zenith angle of FY_3D satellites in 2021. (a) 2021-09-19,VZA:33.20°; (b) 2021-09-20,VZA:5.33°; (c) 2021-09-25,VZA:13.25°; (d) 2021-09-26,VZA:33.20°
    Comparison results of apparent reflectivity between satellite observation and model calculation under different zenith angle of FY_3D satellites in 2022. (a) 2022-07-19,VZA:7.28°; (b) 2022-07-09,VZA:17.14°; (c) 2022-07-24,VZA:19.40°; (d) 2022-07-21,VZA:43.78°
    • Table 1. Observed geometric parameters and atmospheric parameters for the FY_3D satellite transit in 2021

      View table

      Table 1. Observed geometric parameters and atmospheric parameters for the FY_3D satellite transit in 2021

      Date09-1909-2009-2509-26
      Time15∶1514∶5515∶1514∶20
      SZA /(°)44.8443.2145.6844.33
      SAA /(°)216.64210.29211.46205.10
      VZA /(°)33.205.3313.2517.12
      VAA /(°)262.41260.13260.2476.18
      AOD(550 nm)0.1380.1330.2530.119
      Water vapor /(g·cm20.6511.2671.0640.405
    • Table 2. Observed geometric parameters and atmospheric parameters for the FY_3D satellite transit in 2022

      View table

      Table 2. Observed geometric parameters and atmospheric parameters for the FY_3D satellite transit in 2022

      Date07-0907-1907-2107-24
      Time15∶1515∶0514∶3015∶25
      SZA /(°)22.3725.5821.5727.47
      SAA /(°)222.34227.03207.59228.95
      VZA /(°)17.127.2843.7819.40
      VAA /(°)76.19260.5572.94260.97
      AOD(550 nm)0.0060.2700.0070.153
      Water vapor /(g·cm21.0301.0551.0710.862
    • Table 3. Change of surface reflectance of different BRDF models on 2022-07-19 (T0‒T6 represents multi-angle observation data of UAV at different times)

      View table

      Table 3. Change of surface reflectance of different BRDF models on 2022-07-19 (T0‒T6 represents multi-angle observation data of UAV at different times)

      Relative deviation /%
      SZA /(°)44.6140.5345.0358.2164.6449.2844.94
      Observation dataT0T1T2T3T4T5T6Average
      thick_sparse0.280.320.320.330.240.240.240.28
      thick_dense0.310.350.420.400.250.240.260.32
      thick_transit0.250.290.240.240.240.220.210.24
      thin_sparse0.310.370.320.390.340.310.290.33
      thin_dense0.560.680.770.820.650.640.670.69
      thin_transit0.240.680.220.240.240.230.210.30
      Average0.320.450.380.400.330.310.31
    • Table 4. Change of surface reflectance of different BRDF models on 2022-07-24 (T0‒T6 represents multi-angle observation data of UAV at different times

      View table

      Table 4. Change of surface reflectance of different BRDF models on 2022-07-24 (T0‒T6 represents multi-angle observation data of UAV at different times

      Relative deviation /%
      SZA /(°)44.6140.5345.0358.2164.6449.2844.94
      Observation dataT0T1T2T3T4T5T6Average
      thick_sparse1.291.070.981.021.551.601.961.35
      thick_dense1.161.041.460.921.551.591.461.31
      thick_transit1.581.211.321.371.951.771.751.56
      thin_sparse1.040.850.960.790.941.071.130.97
      thin_dense0.370.100.130.260.210.241.150.35
      thin_transit1.601.171.461.331.621.601.751.50
      Average1.170.911.050.951.311.311.53
    • Table 5. Change of surface reflectance of different BRDF models on 2022-07-21 (T0‒T6 represents multi-angle observation data of UAV at different times)

      View table

      Table 5. Change of surface reflectance of different BRDF models on 2022-07-21 (T0‒T6 represents multi-angle observation data of UAV at different times)

      Relative deviation /%
      SZA /(°)44.6140.5345.0358.2164.6449.2844.94
      Observation dataT0T1T2T3T4T5T6Average
      thick_sparse1.241.652.051.762.191.922.161.85
      thick_dense1.961.000.550.671.642.051.461.33
      thick_transit2.882.083.262.773.192.593.052.83
      thin_sparse2.361.872.331.791.902.171.982.06
      thin_dense0.690.440.981.300.430.360.580.68
      thin_transit3.732.713.583.123.532.423.763.26
      Average2.141.632.121.902.151.922.17
    • Table 6. Change of surface reflectance of different BRDF models on 2022-07-22 (T0‒T6 represents multi-angle observation data of UAV at different times)

      View table

      Table 6. Change of surface reflectance of different BRDF models on 2022-07-22 (T0‒T6 represents multi-angle observation data of UAV at different times)

      Relative deviation /%
      SZA /(°)44.6140.5345.0358.2164.6449.2844.94
      Observation dataT0T1T2T3T4T5T6Average
      thick_sparse2.031.733.172.042.111.462.132.10
      thick_dense1.852.442.211.983.032.012.592.30
      thick_transit3.502.414.663.573.562.583.593.41
      thin_sparse3.252.543.292.452.442.813.262.86
      thin_dense0.841.071.811.450.831.131.431.22
      thin_transit5.203.764.663.534.354.293.584.20
      Average2.782.333.302.502.722.382.76
    • Table 7. Relative deviation of the apparent reflectance from satellite observation calculated by the model in September 2021

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      Table 7. Relative deviation of the apparent reflectance from satellite observation calculated by the model in September 2021

      DateRelative deviation /%

      B1

      (412 nm)

      B2

      (443 nm)

      B3

      (470 nm)

      B4

      (490 nm)

      B5

      (550

      nm)

      B6

      (555

      nm)

      B7

      (650

      nm)

      B8

      (670

      nm)

      B9

      (709

      nm)

      B10

      (746

      nm)

      B11

      (865 nm)

      B12

      (866

      nm)

      Average3.963.803.723.133.132.922.755.223.042.313.052.53
      2021-09-194.673.404.311.795.763.133.777.312.231.824.693.34
      2021-09-206.856.644.885.660.231.950.454.353.230.841.220.48
      2021-09-251.081.072.481.015.493.303.987.901.311.774.662.81
      2021-09-263.224.073.214.071.033.302.811.315.404.791.623.49
    • Table 8. Relative deviation of the apparent reflectance from satellite observation calculated by the model in July 2022

      View table

      Table 8. Relative deviation of the apparent reflectance from satellite observation calculated by the model in July 2022

      DateRelative deviation /%

      B1

      (412 nm)

      B2

      (443 nm)

      B3

      (470 nm)

      B4

      (490 nm)

      B5

      (550 nm)

      B6

      (555 nm)

      B7

      (650 nm)

      B8

      (670 nm)

      B9

      (709 nm)

      B10

      (746 nm)

      B11

      (865 nm)

      B12

      (866 nm)

      Average12.158.574.855.593.243.212.855.262.993.285.745.39
      2022-07-199.515.873.113.613.742.464.217.224.803.997.197.94
      2022-07-099.875.880.882.134.311.402.506.632.983.845.815.26
      2022-07-2412.769.565.807.090.793.140.533.900.892.045.874.97
      2022-07-2116.4612.979.589.544.135.824.163.273.273.274.093.40
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    Yanbing Heng, Jun Pan, Hailiang Gao, Kaisi Wang, Xinge Dou. Calibration and Validation of FY_3D MERSI-II Based on BRDF model[J]. Laser & Optoelectronics Progress, 2023, 60(22): 2228007

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Feb. 13, 2023

    Accepted: Mar. 13, 2023

    Published Online: Nov. 24, 2023

    The Author Email: Hailiang Gao (gaohl200439@aricas.ac.cn)

    DOI:10.3788/LOP230618

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