Remote Sensing Technology and Application, Volume. 39, Issue 4, 917(2024)

Sensitivity of Black Soil Organic Matter Content Prediction to the Spectral Resolution and Signal-to-Noise Ratio of Space-based Remote Sensing Loads

Zexin LI, Shuang GAO, Denghui HU, Changkun WANG, and Guohua LIU
Author Affiliations
  • Innovation Academy for Microsatellite Chinese Academy of Sciences, Shanghai201203, China
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    Figures & Tables(15)
    Laboratory hyperspectral data measured by ASD geophysical spectrometer
    Simulation flow chart
    Intra-pupillary irradiance L(λ)toa_1nm
    Simulated signal-to-noise ratio curve
    Simulated spectral data curves obtained by adding atmospheric effects and the influence of the signal-to-noise characteristics of the instrument
    Weighted regression coefficient curve
    SOM inversion results for laboratory hyperspectral data
    RMSE variation curve with SR
    Surface plot of RMSE vs. SR, WSNR
    2D projection of 3D surface on RMSE, SR
    2D projection of 3D surfaces on RMSE, WSNR
    Signal-to-noise ratio curve corresponding to SR=15 nm and WSNR=477.31
    • Table 1. Parameter settings of the radiation brightness model for multiple scattering

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      Table 1. Parameter settings of the radiation brightness model for multiple scattering

      大气模式中纬度夏季
      大气路径斜程大气
      运行方式多次散射辐亮度
      CO2混合比360
      气溶胶模型乡村环境
      能见度VIS=23km,无云无雨
      传感器高度100km
      观测天顶角180°
      太阳天顶角30°
      波数设置范围4 082~25 000 cm-1
    • Table 2. Minimum weighted signal-to-noise ratio parameters to meet the inversion requirements at each spectral resolution

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      Table 2. Minimum weighted signal-to-noise ratio parameters to meet the inversion requirements at each spectral resolution

      光谱分辨率/nm加权信噪比(WSNR)
      10494.07
      15477.31
      20462.16
      60358.84
      100275.63
    • Table 3. Results of the PLSR models.

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      Table 3. Results of the PLSR models.

      数据类型RMSE/%R2

      10 nm

      15 nm

      0.575

      0.540

      0.77

      0.81

      20 nm0.5760.78

      60 nm

      100 nm

      10 nm+WSNR50

      15 nm+WSNR50

      20 nm+WSNR50

      60 nm+WSNR50

      100 nm+WSNR50

      10 nm+WSNR494.07

      15 nm+WSNR477.31

      20 nm+WSNR462.16

      60 nm+WSNR358.84

      100 nm+WSNR275.63

      0.649

      0.754

      0.832

      0.832

      0.830

      0.871

      0.924

      0.556

      0.535

      0.564

      0.632

      0.733

      0.72

      0.66

      0.62

      0.62

      0.62

      0.57

      0.49

      0.79

      0.82

      0.78

      0.73

      0.67

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    Zexin LI, Shuang GAO, Denghui HU, Changkun WANG, Guohua LIU. Sensitivity of Black Soil Organic Matter Content Prediction to the Spectral Resolution and Signal-to-Noise Ratio of Space-based Remote Sensing Loads[J]. Remote Sensing Technology and Application, 2024, 39(4): 917

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    Paper Information

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    Received: Jan. 22, 2023

    Accepted: --

    Published Online: Jan. 6, 2025

    The Author Email:

    DOI:10.11873/j.issn.1004-0323.2024.4.0917

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