Spectroscopy and Spectral Analysis, Volume. 41, Issue 10, 3069(2021)

Inversion of Soil Organic Matter Fraction in Southern Xinjiang by Visible-Near-Infrared and Mid-Infrared Spectra

De-fang LUO1、*, Jie PENG1、1; *;, Chun-hui FENG1、1;, Wei-yang LIU1、1;, Wen-jun JI2、2;, and Nan WANG3、3;
Author Affiliations
  • 11. College of Plant Sciences, Tarim University, Alar 843300, China
  • 22. College of Land Resources Management, China Agricultural University, Beijing 100083, China
  • 33. College of Environment and Resources, Zhejiang University, Hangzhou 310058, China
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    Figures & Tables(5)
    VNIR (a) and MIR (b) reflectance spectra of soil organic matter and fractions
    Correlations between soil organic matter content and visible-near infrared (a), mid-infrared (b) reflectivity
    Scatter plots of predicted vs. measured values for single model (a) and combination model (b)
    • Table 1. Statistics of soil organic matter and fractions

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      Table 1. Statistics of soil organic matter and fractions

      测定指标单位样本数平均值/
      (g·kg-1)
      标准差/
      (g·kg-1)
      最大值/
      (g·kg-1)
      最小值/
      (g·kg-1)
      峰度/
      (g·kg-1)
      变异
      系数/%
      有机质(g·kg-1)9327.2412.5068.0212.521.4345.87
      胡敏素(g·kg-1)9321.8110.8759.509.442.6149.86
      富里酸(g·kg-1)931.651.004.900.051.6860.56
      胡敏酸(g·kg-1)932.521.488.590.722.6358.75
    • Table 2. Construction and verification of PLSR, SVM, and RF models based on different spectra

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      Table 2. Construction and verification of PLSR, SVM, and RF models based on different spectra

      光谱模型精度指标有机质/(g·kg-1)胡敏素/(g·kg-1)胡敏酸/(g·kg-1)富里酸/(g·kg-1)
      建模预测建模预测建模预测建模预测
      VIS-NIRPLSRR20.800.770.830.810.820.810.850.85
      RMSE5.175.734.334.370.530.670.370.40
      RPIQ2.392.372.732.722.922.873.462.81
      RFR20.830.810.930.920.930.920.800.76
      RMSE4.143.962.442.660.340.340.350.36
      RPIQ3.362.364.874.614.753.934.003.10
      SVMR20.750.730.800.770.710.700.830.80
      RMSE4.595.744.114.150.620.650.320.39
      RPIQ2.702.372.962.863.182.954.092.90
      MIRPLSRR20.780.750.820.810.740.740.900.88
      RMSE5.425.554.414.450.600.660.300.40
      RPIQ2.952.422.682.672.672.564.382.82
      RFR20.870.860.890.870.880.860.940.94
      RMSE3.872.512.643.790.420.330.220.24
      RPIQ3.891.914.512.753.624.566.084.41
      SVMR20.800.780.780.770.740.740.800.76
      RMSE5.045.243.944.400.620.710.360.44
      RPIQ2.462.592.992.702.492.713.642.59
      VIS-NIR-MIRPLSRR20.800.780.850.810.830.800.860.80
      RMSE4.785.013.634.350.530.670.390.71
      RPIQ2.792.713.252.732.832.873.632.07
      RFR20.920.900.880.870.890.890.870.87
      RMSE2.904.082.962.840.410.330.310.31
      RPIQ4.523.514.142.633.654.583.994.28
      SVMR20.860.850.870.850.840.830.850.83
      RMSE3.814.073.603.690.440.520.300.41
      RPIQ3.253.343.283.223.683.674.283.44
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    De-fang LUO, Jie PENG, Chun-hui FENG, Wei-yang LIU, Wen-jun JI, Nan WANG. Inversion of Soil Organic Matter Fraction in Southern Xinjiang by Visible-Near-Infrared and Mid-Infrared Spectra[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3069

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    Paper Information

    Category: Research Articles

    Received: Sep. 4, 2020

    Accepted: --

    Published Online: Oct. 29, 2021

    The Author Email: LUO De-fang (zkyldf@163.com)

    DOI:10.3964/j.issn.1000-0593(2021)10-3069-08

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