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Laser & Optoelectronics Progress, Volume. 56, Issue 5, 051101(2019)

CWT-Based Estimation of Soil Organic Matter Content in Arid Area Under Different Human Disturbance Degrees

Hongyun Ye1, Heigang Xiong2、*, Fang Zhang1, Ning Wang1, and Lifang Ma1
Author Affiliations
  • 1 College of Resources and Environment Sciences, Xinjiang University/Key Laboratory of Oasis Ecology of Ministry of Education, Urumqi, Xinjiang 830046, China
  • 2 Urban Department of College of Applied Arts and Science, Beijing Union University, Beijing 100083, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (27)
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    Figures & Tables(11)
    Soil spectral curves under different human disturbance degrees

    Fig. 1. Soil spectral curves under different human disturbance degrees

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    Correlation analysis among soil organic matter content, spectral reflectance, and its transformation. (a) Zone Ⅰ; (b) zone Ⅱ; (c) zone Ⅲ

    Fig. 2. Correlation analysis among soil organic matter content, spectral reflectance, and its transformation. (a) Zone Ⅰ; (b) zone Ⅱ; (c) zone Ⅲ

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    Correlation scalogram between R wavelet coefficient and soil organic matter content in mild disturbance zone

    Fig. 3. Correlation scalogram between R wavelet coefficient and soil organic matter content in mild disturbance zone

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    Correlation scalogram between R wavelet coefficient and soil organic matter in moderate disturbance zone

    Fig. 4. Correlation scalogram between R wavelet coefficient and soil organic matter in moderate disturbance zone

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    Correlation scalogram between R wavelet coefficient and soil organic matter content in severe disturbance zone

    Fig. 5. Correlation scalogram between R wavelet coefficient and soil organic matter content in severe disturbance zone

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    Scatter plots of predicted and measured values of soil organic matter. (a) Zone Ⅰ; (b) zone Ⅱ; (c) zone Ⅲ

    Fig. 6. Scatter plots of predicted and measured values of soil organic matter. (a) Zone Ⅰ; (b) zone Ⅱ; (c) zone Ⅲ

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    Kriging interpolation plots of measured and predicted values of soil organic matter content. (a) Zone Ⅰ; (b) zone Ⅱ; (c) zone Ⅲ

    Fig. 7. Kriging interpolation plots of measured and predicted values of soil organic matter content. (a) Zone Ⅰ; (b) zone Ⅱ; (c) zone Ⅲ

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    • Table 1. Basic status of three typical disturbance zones in study area

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      Table 1. Basic status of three typical disturbance zones in study area

      TypeDisturbance intensionVegetation typeSoil typeVegetation coverage /%
      ⅠMildNative vegetationSierozem soil≥30
      ⅡModerateNative vegetation、cash cropsSierozem soil15-30
      ⅢSevereCash crops、man-made forestSierozem soil≤15

    • Table 2. Descriptive statistics of soil organic matter content

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      Table 2. Descriptive statistics of soil organic matter content

      TypeSamplesetNumber ofsamplesMinimumvalue /(g·kg-1)Maximumvalue /(g·kg-1)Meanvalue /(g·kg-1)Standarddeviation /(g·kg-1)CV
      ⅠWhole set306.50714.70710.2572.0040.195
      Calibration set187.95214.1710.3441.7530.169
      Validation set126.50714.70710.1272.4090.238
      ⅡWhole set306.18215.2218.9392.2840.255
      Calibration set186.78614.7978.6581.8840.218
      Validation set126.18215.2219.362.8180.301
      ⅢWhole set303.61913.1077.9772.2970.288
      Calibration set183.61912.1337.4831.9350.259
      Validation set124.69513.1078.7172.670.306

    • Table 3. Selection of sensitive wavelengths

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      Table 3. Selection of sensitive wavelengths

      TypeSpectral transformationSensitive bands /nm
      ⅠR746,762,805,1818,1824
      R′619,645,715,1467,2270
      lg(1/R)699,762,781,800,1824
      ⅡR436,450,508,522,545
      R′407,426,1100,1634,2417
      lg(1/R)434,453,500,523,534
      ⅢR536,1192,1254,1300,1555
      R′418,860,1156,1822,2329
      lg(1/R)536,1192,1244,1256,1300

    • Table 4. Calibration and validation results of inversion model for soil organic matter content

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      Table 4. Calibration and validation results of inversion model for soil organic matter content

      TypeModelCalibration setValidation set
      R2RRMSER2RRMSERRPD
      ⅠR0.3721.3500.3352.3911.183
      R′0.6950.9080.6281.5891.873
      lg(1/R)0.4411.2730.4861.7181.352
      CWT0.7520.8480.7171.1322.150
      ⅡR0.2741.5610.2892.3960.872
      R′0.6681.1020.6161.8121.671
      lg(1/R)0.3681.3360.4212.3501.207
      CWT0.7060.9140.6891.7092.090
      ⅢR0.2451.4740.2142.4910.944
      R′0.6241.0400.5822.0741.548
      lg(1/R)0.2891.3970.2703.4430.609
      CWT0.6521.1350.6301.9852.013
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    Hongyun Ye, Heigang Xiong, Fang Zhang, Ning Wang, Lifang Ma. CWT-Based Estimation of Soil Organic Matter Content in Arid Area Under Different Human Disturbance Degrees[J]. Laser & Optoelectronics Progress, 2019, 56(5): 051101

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    Paper Information

    Category: Imaging Systems

    Received: Aug. 6, 2018

    Accepted: Sep. 21, 2018

    Published Online: Jul. 31, 2019

    The Author Email: Xiong Heigang (heigang@buu.edu.cn)

    DOI:10.3788/LOP56.051101

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology