Remote Sensing Technology and Application, Volume. 40, Issue 3, 621(2025)

Comparative Study on Chlorophyll Content Inversion of Summer Maize Based on PROSAIL Model and Sentinel-2A Image

Zhuolin LI1,2,3, Jinguo YUAN1,2,3、*, Ziyan YANG1,2,3, Wenchao WANG1,2,3, Yancui LI1,2,3, and Bohan LIU1,2,3
Author Affiliations
  • 1School of Geographical Sciences, Hebei Normal University; Shijiazhuang050024,China
  • 2Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change; Shijiazhuang050024,China
  • 3Laboratory of Environmental Evolution and Ecological Construction in Hebei Province, Shijiazhuang050024,China
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    Figures & Tables(16)
    The location and Sentinel-2A color infrared remote sensing images of the study area, and the distribution of sampling points
    Workflow of this study
    Spectral response function of Sentinel-2A satellite
    Sensitivity analysis of important parameters of PROSAIL model
    Global sensitivity analysis
    Inversion model of LCC based on LCI (665,705,842).
    Inversion model of CCC based on MTCI (665,740,783)
    Comparison of chlorophyll content retrieved and measured
    Inversion results of leaf chlorophyll content and canopy chlorophyll content
    • Table 1. Band settings of Sentinel-2 satellite

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      Table 1. Band settings of Sentinel-2 satellite

      波段空间分辨率/m中心波长/nm波段宽度/nm
      B1-气溶胶波段6044327
      B2-蓝波段1049098
      B3-绿波段1056045
      B4-红波段1066538
      B5-植被红边波段12070519
      B6-植被红边波段22074018
      B7-植被红边波段32078328
      B8-近红外波段10842145
      B8a-近红外波段2086533
      B9-水汽波段6094526
      B10-卷云波段601 37575
      B11-短波红外波段1201 610143
      B12-短波红外波段2202 190242
    • Table 2. Survey statistics of sample plots

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      Table 2. Survey statistics of sample plots

      参数单位最大值最小值平均值标准差
      LAI/5.122.103.720.86
      LCCμg/cm²65.4934.8554.397.22
      CCCg/m²3.020.852.040.58
    • Table 3. Simulation parameter settings for PROSAIL model

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      Table 3. Simulation parameter settings for PROSAIL model

      参数类型参数名称及物理意义取值范围步长参考及来源
      叶片生化参数叶片结构参数N1.0~1.50.5[22]
      类胡萝卜素含量/μg·cm-28/[23]
      等效水厚度Cw/cm0.01~0.0120.005实测获取
      叶片叶绿素含量Cab/μg·cm-230~700.5实测获取
      干物质含量Cm/g·cm-20.003~0.0040.000 5实测获取
      冠层结构参数叶面积指数LAI2~5.50.5实测获取
      平均叶倾角ALA/°52/实测获取
      土壤亮度参数psoil0.1/[24]
      观测天顶角tto/°5.57/影像头文件
      太阳天顶角tts/°28.75/影像头文件
      观测相对方位角Psi/°102.49/影像头文件
    • Table 4. Formulas of vegetation indices

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      Table 4. Formulas of vegetation indices

      植被指数缩写原始公式变形公式
      Red edge NDVINDVIred-edgeBandnir-Bandred-edgeBandnir+Bandred-edgeBandnir-BandABandnir+BandA
      Green Chlorophyll IndexCIgreenBandnirBandg-1BandABandg-1
      Red-edge Chlorophyll IndexCIred-edgeBandnirBandred-edge-1BandnirBandA-1
      Ratio Vegetation IndexRVIBandNIRBandRBandNIRBandA,BandABandg
      MERIS Terrestrial Chlorophyll IndexMTCIBandnir-Bandred-edgeBandred-edge-BandrBandnir-BandABandA-Bandr,Bandred-edge2-Bandred-edge1Bandred-edge1-Bandr
      Transformed Chlorophyll Absorbtion RatioTCARI3×[(Bandred-edge-Bandr)-(0.2×(Bandred-edge-Bandg)×Bandred-edgeBandr)]3×[(BandA-Bandr)-0.2×(BandA-Bandg)×(BandABandr)]
      Structure Insensitive Pigment IndexSIPIBandNIR-BandBBandNIR-BandR-
      Leaf Chlorophyll IndexLCIBandnir-Bandred-edgeBandnir-BandrBandnir-BandABandnir-Bandr
      Triangular Chlorophyll IndexTCI1.2×(700nm-550nm)-1.5×(670nm-550nm)×700nm670nm-
      Green Normalized Difference Vegetation IndexGNDVIBandnir-BandgBandnir+Bandg-
      Normalized Difference Red-edgeNDREBandnir-Bandred-edgeBandnir+Bandred-edgeBandnir-BandABandnir+BandA
      Normalized Difference Plant Pigment RatioPPRBandG-BandBBandG+BandB-
      Normalized Difference Greeness IndexNDGIBandg-BandrBandg+Bandr-
      Zarc and MillerZMBand740Band705-
    • Table 5. Correlation between vegetation index and chlorophyll content

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      Table 5. Correlation between vegetation index and chlorophyll content

      植被指数计算波段叶片叶绿素含量(LCC)冠层叶绿素含量(CCC)
      rPROSAILrSentinel-2ArPROSAILrSentinel-2A
      NDVIred-edge(705,842)0.81**0.67**0.83**0.67**
      (740,842)0.77**0.65**0.94**0.63**
      (783,842)0.93**-0.280.45**-0.15
      CIgreen(560,705)0.68**-0.66**0.63**-0.62**
      (560,740)0.82**0.100.80**0.06
      (560,783)0.81**0.63**0.85**0.60**
      (560,842)0.81**0.59**0.84**0.59**
      CIred-edge(705,842)0.81**0.61**0.85**0.66**
      (740,842)0.76**0.66**0.94**0.68**
      (783,842)0.93**-0.260.45**-0.14
      RVI(665,842)0.290.430.93**0.53**
      (560,705)0.68**-0.63**0.63**-0.59**
      (705,842)0.81**0.65**0.85**0.64**
      (740,842)0.76*0.70**0.94**0.68**
      MTCI(665,705,842)0.86**0.76**0.76**0.63**
      (665,740,842)0.78**0.66**0.93**0.67**
      (665,783,842)0.92**-0.210.41**-0.12
      (665,705,740)0.87**0.72**0.69**0.55**
      (665,740,783)0.75**0.74**0.94**0.72**
      (665,705,783)0.86**0.77**0.76**0.64**
      TCARI(560,665,705)-0.87**-0.75**-0.61**-0.56**
      (560,665,740)0.02-0.37-0.79**-0.43
      (560,665,783)-0.23-0.30-0.93**-0.38
      LCI(665,705,842)0.85**0.79**0.75**0.62**
      (665,740,842)0.78**0.67**0.93**0.66**
      (665,783,842)0.92**-0.250.41**-0.13
      TCI(560,665,705)-0.88**-0.75**-0.34**-0.55**
      NDRE(705,842)0.81**0.66**0.83**0.64**
      (740,842)0.77**0.66**0.94**0.68**
      (783,842)0.93**-0.230.45**-0.12
      ZM(705,740)0.82**0.460.80**0.41
    • Table 6. Inversion model of leaf chlorophyll content (LCC)

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      Table 6. Inversion model of leaf chlorophyll content (LCC)

      植被指数计算波段PROSAIL反演模型建模R2Sentinel-2A反演模型建模R2
      NDVIred-edge(705,842)y=152.93x-63.8570.65y=272.29x-141.970.45
      (740,842)y=272.85x+11.2710.59y=137.58x-6.56050.43
      (783,842)y=5713.5x-2.1850.86y=217.04x+52.6580.08
      CIgreen(560,705)y=219.37x-102.870.46y=-159.82x+65.9650.44
      (560,740)y=5.0393x+9.4170.67y=10.307x+41.7850.01
      (560,783)y=2.9605x+17.5050.66y=24.547x+9.70270.40
      (560,842)y=2.891x+17.6180.66y=24.623x+10.4110.35
      CIred-edge(705,842)y=5.1883x+17.9550.66y=19.735x+22.8420.37
      (740,842)y=100.27x+16.5250.59y=72.994x+33.9350.43
      (783,842)y=2806x-1.7480.86y=97.557x+52.750.07
      RVI(665,842)y=0.4456x+33.4610.09y=14.161x+9.3750.19
      (560,705)y=219.37x-322.230.46y=-145.17x+209.850.40
      (705,842)y=5.1883x+12.7660.66y=21.906x-2.5890.43
      (740,842)y=100.27x-83.7460.59y=72.962x-39.0210.44
      MTCI(665,705,842)y=3.8837x+19.3360.74y=2.4174x+32.1460.57
      (665,740,842)y=99.729x+15.3820.61y=43.45x+33.8830.44
      (665,783,842)y=2687.6x-1.22460.85y=-54.935x+53.0220.04
      (665,705,740)y=6.6883x+12.9880.76y=4.3477x+28.6610.52
      (665,740,783)y=102.5x+16.9550.57y=47.023x+31.060.55
      (665,705,783)y=3.988x+19.1910.74y=2.3846x+32.0130.59
      TCARI(560,665,705)y=-577.52x+95.3840.75y=-344.67x+85.4380.56
      (560,665,740)y=0.2237x+49.1750.00y=-200.92x+128.840.14
      (560,665,783)y=-0.9601x+41.5920.05y=-109.07x+97.9540.07
      LCI(665,705,842)y=259.33x-177.910.73y=224.28x-147.090.63
      (665,740,842)y=179.82x+4.20030.61y=89.688x+25.8610.46
      (665,783,842)y=2788.7x-2.1230.85y=64.243x+53.750.06
      TCI(560,665,705)y=-201.16x+74.5070.77y=-585.45x+83.1130.56
      NDRE(705,842)y=152.93x-63.8570.65y=138.01x-6.78820.43
      (740,842)y=272.85x+11.2710.59y=186.8x+31.5170.44
      (783,842)y=5713.5x-2.1850.86y=161.45x+53.0240.05
      ZM(705,740)y=9.2387x+0.77040.68y=138.01x-6.78820.43
    • Table 7. Inversion model of canopy chlorophyll content (CCC)

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      Table 7. Inversion model of canopy chlorophyll content (CCC)

      植被指数计算波段PROSAIL反演模型建模R2Sentinel-2A反演模型建模R2
      NDVIred-edge(705,842)y=9.4933x-5.2140.68y=25.263x-16.070.45
      (740,842)y=20.145x-0.9860.88y=12.412x-3.3520.40
      (783,842)y=166.99x+0.2740.20y=10.758x+2.03980.02
      CIgreen(560,705)y=12.384x-6.790.40y=-13.976x+3.15760.39
      (560,740)y=0.2975x-0.5470.64y=-0.1138x+1.1810.00
      (560,783)y=0.1872x-0.19940.72y=2.1559x-1.77930.36
      (560,842)y=0.1815x-0.17790.71y=2.2859x-1.93460.35
      CIred-edge(705,842)y=1.986x-1.02250.71y=1.986x-1.02250.43
      (740,842)y=7.0354x+0.17860.71y=7.0354x+0.17860.47
      (783,842)y=82.035x+2.28640.20y=-4.7921x+2.04490.02
      RVI(665,842)y=0.0854x-1.10090.87y=1.63x-3.02170.28
      (560,705)y=12.384x-19.170.40y=-12.654x+15.6910.35
      (705,842)y=0.3258x-0.48310.71y=2.0089x-3.07770.41
      (740,842)y=7.442x-8.05260.88y=7.0267x-6.8460.47
      MTCI(665,705,842)y=0.2061x+0.21170.57y=0.189x+0.40190.40
      (665,740,842)y=7.2177x-0.63460.87y=4.1029x+0.21270.45
      (665,783,842)y=72.757x+0.40890.17y=-2.9273x+2.05470.01
      (665,705,740)y=0.3209x+0.05450.48y=0.3073x+0.31840.30
      (665,740,783)y=7.7501x-0.62240.89y=4.2099x+0.05780.51
      (665,705,783)y=0.213x+0.19410.58y=0.1843x+0.41020.41
      TCARI(560,665,705)y=-24.451x+3.74240.37y=-23.881x+4.28720.31
      (560,665,740)y=-0.4596x+0.0350.62y=-22.081x+10.340.19
      (560,665,783)y=-0.2302x+0.13250.86y=-115.002x+8.16350.15
      LCI(665,705,842)y=13.875x-10.3550.57y=26.368x-12.5660.39
      (665,740,842)y=12.891x-1.41350.86y=8.2101x-0.4640.44
      (665,783,842)y=75.478x+0.38490.17y=-3.1216x+2.04570.02
      TCI(560,665,705)y=-4.6674x+2.35750.11y=-39.702x+4.0830.30
      NDRE(705,842)y=9.4933x-5.21410.68y=12.467x-3.37950.41
      (740,842)y=20.145x-0.98620.88y=17.808x-0.0310.46
      (783,842)y=166.99x+0.2740.20y=-8.1068x+2.05740.01
      ZM(705,740)y=0.5441x-1.05090.64y=2.9357x-3.83870.17
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    Zhuolin LI, Jinguo YUAN, Ziyan YANG, Wenchao WANG, Yancui LI, Bohan LIU. Comparative Study on Chlorophyll Content Inversion of Summer Maize Based on PROSAIL Model and Sentinel-2A Image[J]. Remote Sensing Technology and Application, 2025, 40(3): 621

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    Paper Information

    Category:

    Received: Apr. 22, 2024

    Accepted: --

    Published Online: Sep. 28, 2025

    The Author Email: Jinguo YUAN (yuanjinguo8@163.com)

    DOI:10.11873/j.issn.1004-0323.2025.3.0621

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