• Acta Optica Sinica
  • Vol. 43, Issue 15, 1528001 (2023)
Yuqing He1、*, Wenjie Hu1、**, Xiuqing Hu2、3、***, Jibiao Zhu2, Xingwei He2、3, and Weiqi Jin1
Author Affiliations
  • 1Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China
  • 2Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites, National Satellite Meteorological Center (National Center for Space Weather), China Meteorological Administration, Beijing 100081, China
  • 3Innovation Center for FengYun Meteorological Satellite (FYSIC), Beijing 100081, China
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    DOI: 10.3788/AOS230941 Cite this Article Set citation alerts
    Yuqing He, Wenjie Hu, Xiuqing Hu, Jibiao Zhu, Xingwei He, Weiqi Jin. Calibration Site BRDF Modeling Method Based on Ground and Low-Altitude UAV Joint Observation[J]. Acta Optica Sinica, 2023, 43(15): 1528001 Copy Citation Text show less
    Components and observing mode of the BRDF measurement system
    Fig. 1. Components and observing mode of the BRDF measurement system
    Ground-based synchronous measurement system. (a) Ground-based spectrometer measurement system; (b) shading board; (c) solar radiometer; (d) all-sky imager
    Fig. 2. Ground-based synchronous measurement system. (a) Ground-based spectrometer measurement system; (b) shading board; (c) solar radiometer; (d) all-sky imager
    Relationship between calibration coefficients of the reference panel and illumination angles
    Fig. 3. Relationship between calibration coefficients of the reference panel and illumination angles
    Spectral radiance of each target observed synchronously by the airborne-ground observation system
    Fig. 4. Spectral radiance of each target observed synchronously by the airborne-ground observation system
    Surface features of field targets at different scales. (a) Satellite observation; (b) UAV observation; (c) ground observation
    Fig. 5. Surface features of field targets at different scales. (a) Satellite observation; (b) UAV observation; (c) ground observation
    Spatial distribution of target reflectance in the 555 nm band measured by the airborne spectrometer
    Fig. 6. Spatial distribution of target reflectance in the 555 nm band measured by the airborne spectrometer
    Measurement data of the ground-based spectrometer. (a) Variation of solar irradiance throughout the day; (b) variation of diffuse-to-total irradiance ratio throughout the day
    Fig. 7. Measurement data of the ground-based spectrometer. (a) Variation of solar irradiance throughout the day; (b) variation of diffuse-to-total irradiance ratio throughout the day
    Relationship between spectral angle and wavelength shift between airborne and ground-based spectrometers
    Fig. 8. Relationship between spectral angle and wavelength shift between airborne and ground-based spectrometers
    Surface reflectance calculated before and after wavelength shift correction. (a) Before wavelength shift correction; (b) after wavelength shift correction
    Fig. 9. Surface reflectance calculated before and after wavelength shift correction. (a) Before wavelength shift correction; (b) after wavelength shift correction
    Comparison of surface reflectance calculated by single and dual spectrometer method. (a) Calculation with a single spectrometer; (b) calculation with a dual spectrometer; (c) reflectance at 61 points in the 555 nm band
    Fig. 10. Comparison of surface reflectance calculated by single and dual spectrometer method. (a) Calculation with a single spectrometer; (b) calculation with a dual spectrometer; (c) reflectance at 61 points in the 555 nm band
    Spatial distribution maps of ANIF at the 555 nm, 858 nm, and 1240 nm bands
    Fig. 11. Spatial distribution maps of ANIF at the 555 nm, 858 nm, and 1240 nm bands
    Changes in atmospheric environment during the measurement period. (a) Change of AOD with time;(b) change of cloud with time
    Fig. 12. Changes in atmospheric environment during the measurement period. (a) Change of AOD with time;(b) change of cloud with time
    Total diffuse ratio and AOD at each measurement flight
    Fig. 13. Total diffuse ratio and AOD at each measurement flight
    Relative bias of simulated reflectance values for different bands of BRDF models obtained on different days. (a) (b) Model bias on July 28th and July 30th before and after diffuse light correction; (c) (d) model bias on July 29th and July 30th before and after diffuse light correction
    Fig. 14. Relative bias of simulated reflectance values for different bands of BRDF models obtained on different days. (a) (b) Model bias on July 28th and July 30th before and after diffuse light correction; (c) (d) model bias on July 29th and July 30th before and after diffuse light correction
    Spatial distribution maps of ANIF at the 555 nm, 858 nm, and 1240 nm bands after diffuse light correction
    Fig. 15. Spatial distribution maps of ANIF at the 555 nm, 858 nm, and 1240 nm bands after diffuse light correction
    DateTime

    Solar

    zenith /(°)

    Solar

    azimuth /(°)

    2021-07-289:5042.85105.82
    11:0031.97122.05
    13:0020.72183.33
    14:4030.90235.73
    15:4043.50254.92
    16:4053.43264.88
    2021-07-299:2049.3499.32
    10:4036.091115.39
    13:0020.93179.45
    14:4030.53234.24
    15:4042.03252.74
    16:5054.83265.77
    2021-07-309:2050.2698.82
    10:4036.91114.74
    13:0021.17178.95
    14:4029.32230.76
    15:4041.81252.00
    Table 1. Observation data of the airborne BRDF measurement system
    SensorSpectral range /nmWavelength shift /nm
    512-element Silicon Linear350-10001
    Enhanced 256-element Linear Array1000-1900-5
    Enhanced 256-element Linear Array1900-25000
    Table 2. Wavelength shifts at different wavelengths
    Band /nm2021-07-282021-07-292021-07-30
    fisofvolfgeofisofvolfgeofisofvolfgeo
    4690.0820.085-0.0110.0940.063-0.0020.0940.051-0.001
    5550.1540.148-0.0210.1720.097-0.0020.1710.085-0.002
    6450.2280.209-0.0300.2570.119-0.0050.2600.0950
    8580.2810.236-0.0330.3120.125-0.0040.3160.108-0.002
    12400.3550.236-0.0290.3720.145-0.0100.3800.143-0.007
    16400.4090.236-0.0270.4430.116-0.0070.4370.133-0.003
    Table 3. BRDF model coefficients for fitting three-day data
    Band /nm2021-07-282021-07-292021-07-30
    fisofvolfgeofisofvolfisofisofvolfiso
    4690.0840.131-0.0220.0890.101-0.0160.0910.083-0.011
    5550.1510.217-0.0400.1560.174-0.0320.1650.135-0.018
    6450.2330.280-0.0510.2410.239-0.0420.2450.187-0.031
    8580.2930.354-0.0620.3030.274-0.0500.3070.226-0.037
    12400.3590.379-0.0690.3710.289-0.0530.3710.274-0.041
    16400.4260.249-0.0370.4260.283-0.0510.4260.249-0.038
    Table 4. Model coefficients after diffuse light correction
    Band /nmDiffuse-correction between July 30th & July 28th(no-correction)Diffuse-correction between July 30th & July 29th(no-correction)
    Average relative bias /%STD of relative bias /%Average relative bias /%STD of relative bias /%
    4693.953(8.135)2.288(4.180)1.528(4.493)0.807(2.241)
    5554.509(5.877)2.626(3.595)2.632(4.304)1.418(2.442)
    6452.496(7.691)1.323(4.318)1.196(5.088)0.777(2.861)
    8582.456(6.787)1.306(3.773)1.161(4.736)0.788(2.647)
    12402.038(4.031)1.212(2.067)1.271(2.933)0.885(1.628)
    16402.183(4.030)1.268(2.084)1.144(2.822)0.900(1.555)
    Table 5. Statistical analysis of the relative bias and standard deviation of simulated reflectance values for different bands of BRDF models obtained on different days
    Yuqing He, Wenjie Hu, Xiuqing Hu, Jibiao Zhu, Xingwei He, Weiqi Jin. Calibration Site BRDF Modeling Method Based on Ground and Low-Altitude UAV Joint Observation[J]. Acta Optica Sinica, 2023, 43(15): 1528001
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