Spectroscopy and Spectral Analysis, Volume. 41, Issue 1, 236(2021)

Analyze on the Response Characteristics of Leaf Vegetables to Particle Matters Based on Hyperspectral

Li-juan KONG*, Hai-ye YU, Mei-chen CHEN, Zhao-jia PIAO, Shuang LIU, Jing-min DANG, Lei ZHANG, and Yuan-yuan SUI
Author Affiliations
  • School of Biological and Agricultural Engineering, Jilin University, Changchun 130022, China
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    Figures & Tables(10)
    Schematic diagram of experimental chamber device
    ESEM image of particle matters
    Spectral characteristics of three kinds of leaves under PM (eg) and non-PM (cg)b: Pakchoi; y: Brassica napus; s: Italian lettuce; cg: The control group; eg: Experimental group. The same below
    First derivative hyperspectral characteristics of three kinds of leaves
    First derivative spectra of three kinds of leaves in the yellow aod blue light ranges(a): Yellow light range; (b): Blue light range
    Correlation between original spectrum, first derivative spectra and net photosynthetic rates of three kinds of leaf vegetables(a): Italian lettuce leaves; (b): Pakchoi leaves; (c): Oilseed rape leaves
    • Table 1. Red edge position (REP) of vegetables

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      Table 1. Red edge position (REP) of vegetables

      叶菜品种红边位置/nm红边蓝移/nm
      对照组试验组
      生菜6976961
      小白菜7117101
      小油菜7257169
    • Table 2. Optimal characteristic wavelength

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      Table 2. Optimal characteristic wavelength

      叶菜原始提取
      /nm
      FD提取/nmMSC提取
      /nm
      相关分析法提取/nm最优特征
      波长/nm
      生菜554520/598/609/633/696555530/586/626/681530
      小白菜557593/613/532/629/710558557/584584
      小油菜553525/598/613/628553592/598/668598
    • Table 3. The correlation coefficients of spectral characteristic parameters and net photosynthetic rate of leaves polluted by PM

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      Table 3. The correlation coefficients of spectral characteristic parameters and net photosynthetic rate of leaves polluted by PM

      高光谱特征参数及植被指数参数说明相关系数
      生菜小白菜小油菜
      红边幅值(Dr)红边内最大一阶微分值-0.878*-0.383-0.625
      红边位置(λr)红边幅值对应的波长位置0.395-0.2530.743*
      红边面积(SDr)红边内一阶微分的总和0.726*-0.874*-0.519
      黄边幅值(Dy)黄边内最大一阶微分值-0.148-0.857*-0.517
      黄边面积(SDy)黄边内一阶微分的总和0.216-0.302-0.753*
      蓝边幅值(Db)蓝边内最大一阶微分值-0.5450.498-0.541
      蓝边面积(SDb)蓝边内一阶微分的总和-0.2530.246-0.522
      绿峰反射率(Rg)可见光绿光区(490~560 nm)内的最大高光谱反射率-0.4360.368-0.382
      红谷反射率(Rr)可见光红光区(620~780nm)内的最小高光谱反射率-0.5760.283-0.338
      近红外峰值(NIRRP)近红外短波区(780~1 075 nm)内的最大高光谱反射率0.548-0.796*0.473
      SDr/SDb红边面积与蓝边面积的比值0.771*-0.228-0.218
      SDr/Sdy红边面积与黄边面积的比值-0.754*0.3680.442
      (SDr-SDb)/(SDr+SDb)红边面积与蓝边面积的归一化值0.547-0.4310.569
      (SDr-SDy)/(SDr+SDy)红边面积与黄边面积的归一化值-0.4830.727*0.715*
    • Table 4. Inversion models of net photosynthetic rate under PM

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      Table 4. Inversion models of net photosynthetic rate under PM

      叶菜光谱特征变量建模方法及拟合模型相关性
      RcRp
      生菜ρ'(530)y=48 201.0+55 116.8lnx+20 996.6(lnx)2+2 664.1(lnx)3R2=0.712
      Dry=58.615+936.78lnx+3 823.7(lnx)2+4 437.1(lnx)3R2=0.771
      ρ'(498~550)CLS0.439 80.485 6
      PLS0.897 80.876 5
      PCR0.874 30.876 1
      SMLR0.753 10.692 6
      ρ'(555~656)CLS0.308 60.392 4
      PLS0.889 60.855 2
      PCR0.851 00.794 8
      SMLR0.698 10.599 4
      ρ'(681~717)CLS0.381 90.486 6
      PLS0.912 20.907 0
      PCR0.881 70.850 1
      SMLR0.710 60.725 9
      小白菜ρ'(584)y=19.975-16 395.4lnx-3.911 9(lnx)2-2.184 9(lnx)3R2=0.819
      Dyy=10 886+9 638.9x+2 841.4x2+278.30x3R2=0.679
      ρ'(583~619)PLS0.952 80.914 4
      PCR0.919 20.901 7
      SMLR0.891 60.896 8
      小油菜ρ'(598)y=14.252+6 877.4x+7.5266x2-8.534 0x3R2=0.802
      ρ'(525~557)PLS0.528 70.558 4
      PCR0.634 50.501 4
      SMLR0.875 40.898 6
      ρ'(592~631)PLS0.384 50.357 5
      PCR0.765 60.750 4
      SMLR0.896 40.875 1
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    Li-juan KONG, Hai-ye YU, Mei-chen CHEN, Zhao-jia PIAO, Shuang LIU, Jing-min DANG, Lei ZHANG, Yuan-yuan SUI. Analyze on the Response Characteristics of Leaf Vegetables to Particle Matters Based on Hyperspectral[J]. Spectroscopy and Spectral Analysis, 2021, 41(1): 236

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    Paper Information

    Category: Research Articles

    Received: Dec. 25, 2019

    Accepted: --

    Published Online: Apr. 8, 2021

    The Author Email: Li-juan KONG (konglijuan630@sina.com)

    DOI:10.3964/j.issn.1000-0593(2021)01-0236-07

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