• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 8, 2542 (2022)
Xiang-jun ZHONG*, Li YANG1; 2; *;, Dong-xing ZHANG1; 2;, Tao CUI1; 2;..., Xian-tao HE1; 2; and Zhao-hui DU1; 2;|Show fewer author(s)
Author Affiliations
  • 1. College of Engineering, China Agricultural University, Beijing 100083, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2022)08-2542-09 Cite this Article
    Xiang-jun ZHONG, Li YANG, Dong-xing ZHANG, Tao CUI, Xian-tao HE, Zhao-hui DU. Effect of Different Particle Sizes on the Prediction of Soil Organic Matter Content by Visible-Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2542 Copy Citation Text show less
    Soil samples with different particle sizes(a): 1~2 mm; (b): 0.5~1 mm; (c): 0.25~0.5 mm; (d): 0.1~0.25 mm; (e): <1 mm; (f): <0.1 mm
    Fig. 1. Soil samples with different particle sizes
    (a): 1~2 mm; (b): 0.5~1 mm; (c): 0.25~0.5 mm; (d): 0.1~0.25 mm; (e): <1 mm; (f): <0.1 mm
    Test instrument diagram1: PC; 2: TOC; 3: PC; 4: Soil samples; 5: Standard white plate; 6: Fiber probe;7: Multifunctional testing platform; 8: NIR Quest; 9: QE Rro; 10: Light source (a): TOC analyzer; (b): Spectrum acquisition device
    Fig. 2. Test instrument diagram
    1: PC; 2: TOC; 3: PC; 4: Soil samples; 5: Standard white plate; 6: Fiber probe;7: Multifunctional testing platform; 8: NIR Quest; 9: QE Rro; 10: Light source (a): TOC analyzer; (b): Spectrum acquisition device
    Relationship between soil particle size and spectral reflectance(a): Mean reflectance and variation coefficient of different soil particle sizes;(b): Mean reflectance of different soil particle sizes at different wavelengths
    Fig. 3. Relationship between soil particle size and spectral reflectance
    (a): Mean reflectance and variation coefficient of different soil particle sizes;(b): Mean reflectance of different soil particle sizes at different wavelengths
    Correlation between SOM content and reflectance of soil with different particle sizes(a): SOM content and reflectance at R transform; (b): SOM content and reflectance at FDR transform
    Fig. 4. Correlation between SOM content and reflectance of soil with different particle sizes
    (a): SOM content and reflectance at R transform; (b): SOM content and reflectance at FDR transform
    Variable distribution of SOM content characteristics at different wavelengths based on CARS(a): Distribution of characteristic variables of SOM content in soil with different particle diameters at different wavelengths;(b): Overlap times of characteristic variables of SOM content under different particle sizes
    Fig. 5. Variable distribution of SOM content characteristics at different wavelengths based on CARS
    (a): Distribution of characteristic variables of SOM content in soil with different particle diameters at different wavelengths;(b): Overlap times of characteristic variables of SOM content under different particle sizes
    SOM characteristic variables distribution based on CARS method
    Fig. 6. SOM characteristic variables distribution based on CARS method
    Construction and evaluation of SOM content models for different particle sizes
    Fig. 7. Construction and evaluation of SOM content models for different particle sizes
    Comparisons of Predicted values and measured values of different PLSR models(a): R-PLSR model of all particle sizes; (b): FDR-PLSR model of all particle sizes; (c): CARS-PLSR model of all particle sizes;(d): CARS-PLSR model for particle size of 1~2 mm; (e): CARS-PLSR model for particle size of 0.5~1 mm;(f): CARS-PLSR model for particle size of 0.25~0.5 mm;(g): CARS-PLSR model for particle size of 0.1~0.25 mm ;(h): CARS-PLSR model for particle size of <0.1 mm; (i): CARS-PLSR model for particle size of <1 mm
    Fig. 8. Comparisons of Predicted values and measured values of different PLSR models
    (a): R-PLSR model of all particle sizes; (b): FDR-PLSR model of all particle sizes; (c): CARS-PLSR model of all particle sizes;(d): CARS-PLSR model for particle size of 1~2 mm; (e): CARS-PLSR model for particle size of 0.5~1 mm;(f): CARS-PLSR model for particle size of 0.25~0.5 mm;(g): CARS-PLSR model for particle size of 0.1~0.25 mm ;(h): CARS-PLSR model for particle size of <0.1 mm; (i): CARS-PLSR model for particle size of <1 mm
    样本数量最大值/(g·kg-1)最小值/(g·kg-1)平均值/(g·kg-1)标准差/(g·kg-1)变异系数/%
    3037.5915.1023.216.1026.27
    Table 1. Statistics of soil organic matter content
    粒径/mmRIRLRFDR
    最大相关系数值波长/nm最大相关系数值波长/nm最大相关系数值波长/nm最大相关系数值波长/nm
    1~20.057 7621.80.082 3609.70.071 4621.80.462 51 144.9
    0.5~10.107 5976.30.107 4976.30.108 0976.30.429 81 144.9
    0.25~0.50.435 6943.50.444 6943.50.441 7943.50.402 32 309.9
    0.1~0.250.324 7976.30.318 4976.30.322 5976.30.398 11 895.6
    <0.10.274 7986.00.274 6986.00.275 1986.00.409 01 895.6
    <10.498 11 319.30.454 71 319.30.478 81 319.30.518 31 605.3
    Table 2. Maximum correlation coefficient between SOM content and spectral reflectance under different particle sizes
    Xiang-jun ZHONG, Li YANG, Dong-xing ZHANG, Tao CUI, Xian-tao HE, Zhao-hui DU. Effect of Different Particle Sizes on the Prediction of Soil Organic Matter Content by Visible-Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2022, 42(8): 2542
    Download Citation