Acta Optica Sinica, Volume. 43, Issue 18, 1812005(2023)

Research on On-Orbit Radiometric Calibration Method for Remote Sensors with Large Fields of View Based on Snow and Ice Scenes

Yuwei Pan1,2, Feinan Chen1, Donggen Luo1、*, Liang Sun1, Yi Wang1, Feng Ji2, Jingjing Chen2, and Jin Hong1
Author Affiliations
  • 1Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China
  • 2School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, Anhui, China
  • show less
    Figures & Tables(19)
    Remote sensing images of Gaofen-5 B star on September 19, 2021. (a) Global remote sensing image; (b) partial remote sensing images of Greenland
    Spectral response function diagram of Gaofen-5 DPC
    Flow chart of on-orbit radiometric calibration for ice and snow scenes
    Comparison charts of TOA reflectance measured from DPC and calibrated TOA reflectance in each band. (a) Band 443 nm;
    Relative error diagram of TOA radiance measured from DPC and calibrated TOA radiance in each band
    Effects of AOT changes on TOA reflectivity in visible light band
    Effects of ozone content changes on TOA reflectivity in visible light band
    Effects of water vapor content changes on TOA reflectivity in visible light band
    Relative error plot of TOA radiance measured from DPC and calibrated TOA radiance in each band under three different ice and snow models. (a) Coarse snow; (b) medium snow; (c) fine snow
    Comparison of the calibration results of the Greenland ice scene with those of the desert scene
    Comparison of the calibration results of the Greenland ice scene with those of the ocean scene
    • Table 1. Band parameters DPC

      View table

      Table 1. Band parameters DPC

      Band /nmPolarizationCentral wavelength /nmBandwidth /nmMission
      443No443.320Ocean and aerosol
      490Yes488.920Ocean
      565No564.720Ocean
      670Yes668.820Vegetation and aerosol
      763No761.410Cloud
      765No763.140Aerosol and cloud
      865Yes861.840Vegetation and aerosol
      910No907.120Water content
    • Table 2. Result of the calculation of the coefficients b0ib1ib2i in the function ai

      View table

      Table 2. Result of the calculation of the coefficients b0ib1ib2i in the function ai

      ib0ib1ib2i
      00.9216-0.37851.0016
      10.19940.7084-1.8176
      20.12342.0702-4.9036
      30.07510.8440-2.2769
    • Table 3. Error statistical analysis of TOA reflectance measured from DPC and calibrated TOA reflectance

      View table

      Table 3. Error statistical analysis of TOA reflectance measured from DPC and calibrated TOA reflectance

      Band /nmInterceptMeanStandard deviation /%RMSE /%
      4430.97890.99411.020.71
      4900.99331.01301.681.60
      5650.98320.99421.491.48
      6700.95970.99432.471.26
      7630.90350.94062.341.24
      7650.92150.95062.001.04
      8650.90940.95632.851.18
      9100.91700.96052.311.32
    • Table 4. Statistical analysis of relative error of TOA radiance calibration TOA radiance measured from DPC in each band

      View table

      Table 4. Statistical analysis of relative error of TOA radiance calibration TOA radiance measured from DPC in each band

      Band /nm443490565670763765865910
      Average relative error /%2.851.923.024.226.418.038.88.71
      STD of relative error /%0.790.590.820.951.210.951.131.06
    • Table 5. Factor uncertainties and synthetic uncertainties for each visible band

      View table

      Table 5. Factor uncertainties and synthetic uncertainties for each visible band

      Band /nmu(δBRDF) /%u(δAOT) /%u(δO3) /%u(δH2O) /%u(δtotal) /%
      4432.00.01002.0
      4902.00002.0
      5652.00.010.0202.0
      6702.00.010.0102.0
    • Table 6. Statistical analysis of the TOA reflectance measured by DPC and the calibration TOA reflectance error in each band under the three models

      View table

      Table 6. Statistical analysis of the TOA reflectance measured by DPC and the calibration TOA reflectance error in each band under the three models

      Band /nmCoarse snowMedium snowFine snow
      Average relative error /%STD of relative error /%Average relative error /%STD of relative error /%Average relative error /%STD of relative error /%
      4433.341.782.721.72.061.53
      4901.691.322.331.511.911.38
      5652.481.683.92.113.21.94
      6702.131.713.792.212.371.71
      76310.552.774.162.782.431.93
      7655.042.713.282.212.451.97
      8658.552.954.342.643.272.58
      9108.613.138.053.562.792.08
    • Table 7. Statistical analysis of the calibration results of the Greenland ice and snow scene and the calibration results of the desert scene

      View table

      Table 7. Statistical analysis of the calibration results of the Greenland ice and snow scene and the calibration results of the desert scene

      Band /nmMean

      Standard

      deviation /%

      GreenlandDesertdeviation /%GreenlandDesert
      4430.98750.97151.60.772.49
      4900.99891.0003-0.140.572.91
      5650.98390.97011.380.782.72
      6700.97430.96880.550.892.34
      7630.92270.89472.801.062.42
      7650.93570.94981.250.832.32
      8650.93320.92990.330.982.16
      9100.94250.9690-2.660.932.61
    • Table 8. Statistical analysis of the calibration results of the Greenland ice and snow scene and the calibration results of the ocean scene

      View table

      Table 8. Statistical analysis of the calibration results of the Greenland ice and snow scene and the calibration results of the ocean scene

      Band /nmMeanStandard deviation/%
      GreenlandOceandeviation/%GreenlandOcean
      4430.98751.0048-1.730.771.52
      4900.99891.0322-3.330.572.18
    Tools

    Get Citation

    Copy Citation Text

    Yuwei Pan, Feinan Chen, Donggen Luo, Liang Sun, Yi Wang, Feng Ji, Jingjing Chen, Jin Hong. Research on On-Orbit Radiometric Calibration Method for Remote Sensors with Large Fields of View Based on Snow and Ice Scenes[J]. Acta Optica Sinica, 2023, 43(18): 1812005

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Dec. 7, 2022

    Accepted: Feb. 24, 2023

    Published Online: Sep. 4, 2023

    The Author Email: Luo Donggen (dgluo@aiofm.ac.cn)

    DOI:10.3788/AOS222106

    Topics