Spectroscopy and Spectral Analysis, Volume. 41, Issue 9, 2657(2021)

Estimation of Potato Above Ground Biomass Based on Hyperspectral Images of UAV

Figures & Tables(10)
Experimental area and experimental design
Spectral reflectance curves treated with SNV during potato tubergrow period
Correlation coefficient diagrams of COS and FDS with AGB during each growth period of potato
Variable selection probabilities of COS and FDS during each growth period of potato
Cross validation maps of using COS (upper) and FDS (lower) during each growth period of potato
  • Table 1. The sensitive wavelengths selected by CAM based on FDS and COS during each growth period

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    Table 1. The sensitive wavelengths selected by CAM based on FDS and COS during each growth period

    生育期COS/nmFDS/nm
    块茎形成期458~514, 586~634502, 506, 530~538, 542~554, 714~722
    块茎增长期458~518, 578~638494~498, 506~518, 526~550, 718~730
    淀粉积累期458~518, 590~626, 790~802494~506, 530~566, 594~598, 638, 718~730
  • Table 2. The sensitive wavelengths were selected by RFM based on FDS and COS during each growth period

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    Table 2. The sensitive wavelengths were selected by RFM based on FDS and COS during each growth period

    生育期COS/nmFDS/nm
    块茎形成期462, 502, 510, 526, 558, 562, 578, 582, 634, 806, 818, 822482~486, 506, 514, 522, 530, 542, 578, 590, 598, 630, 638, 646~650, 678, 698, 702~706, 714~718, 798, 826, 926
    块茎增长期486, 498, 514, 610~614, 648, 646, 654486, 502, 518, 598, 610~618, 630~634, 642, 658, 666, 710, 722, 742~746, 758~762, 774, 810~814, 842~846, 882~890, 942~946
    淀粉积累期466, 478, 526~530, 542, 606~614, 630~634, 642~646, 654, 762, 822470, 510, 518, 522~526, 558~562, 574~578, 586~590, 606~610, 618~622, 638, 646, 710, 718~722, 738, 758, 766~770, 814, 826~830, 846, 866~870, 906, 910, 922
  • Table 3. The sensitive wavelengths were selected by GPR-BAT based on FDS and COS during each growth period

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    Table 3. The sensitive wavelengths were selected by GPR-BAT based on FDS and COS during each growth period

    生育期COS/nmFDS/nm
    块茎形成期626, 642, 778,
    822, 846, 938
    482, 494, 526, 530, 534, 586, 602, 686, 702, 914
    块茎增长期598, 710658, 666, 774, 782
    淀粉积累期582, 798, 822550, 722, 726, 734, 866
  • Table 4. Modeling and verification accuracies of estimating AGB based on COS by PLSR and GPR

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    Table 4. Modeling and verification accuracies of estimating AGB based on COS by PLSR and GPR

    生育期模型变量PLSRGPR
    建模验证建模验证
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    CAM0.61240.6819.710.64191.4918.810.58259.2421.230.59209.6220.59
    块茎形成期RFM0.63223.2218.280.65179.8917.670.60247.2720.250.61202.3919.88
    GPR-BAT0.64215.1617.620.67172.4616.940.62237.8719.480.64190.9818.76
    CAM0.65236.1618.320.66165.1718.190.62253.4419.660.63172.9819.05
    块茎增长期RFM0.68221.2117.160.70152.8216.830.64239.3818.570.66161.2717.76
    GPR-BAT0.71211.0316.370.72144.4715.910.67228.3017.710.68150.6516.59
    CAM0.58338.8023.350.60195.1422.620.55348.9624.050.57203.6823.61
    淀粉积累期RFM0.61319.6522.030.63187.5521.740.59338.2223.310.60194.1922.51
    GPR-BAT0.62307.3121.180.64176.5120.460.61321.8222.180.62182.5521.16
  • Table 5. Modeling and verification accuracies of estimating AGB based on FDS by PLSR and GPR

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    Table 5. Modeling and verification accuracies of estimating AGB based on FDS by PLSR and GPR

    生育期模型变量PLSRGPR
    建模验证建模验证
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    R2RMSE/
    (kg·hm-2)
    NRMSE/
    %
    CAM0.64233.1119.090.66182.0317.880.60250.5720.520.62200.9619.74
    块茎形成期RFM0.65214.4217.560.68177.4417.430.63235.4319.280.64189.2518.59
    GPR-BAT0.67203.0716.630.70161.0515.820.65231.8918.990.68179.9917.68
    CAM0.69232.1718.010.71162.1817.860.65250.4719.430.67167.9018.49
    块茎增长期RFM0.71214.8916.670.72140.4715.470.68235.2618.250.69159.1817.53
    GPR-BAT0.73204.1915.840.75134.6614.830.69216.9516.830.72153.5516.91
    CAM0.61331.5522.850.63185.7421.530.57342.1423.580.59196.5222.78
    淀粉积累期RFM0.64305.7221.070.66180.4820.920.61329.6622.720.63184.9621.44
    GPR-BAT0.65301.9520.810.67166.1519.260.62306.3021.110.64175.5620.35
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. Estimation of Potato Above Ground Biomass Based on Hyperspectral Images of UAV[J]. Spectroscopy and Spectral Analysis, 2021, 41(9): 2657

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Paper Information

Category: Research Articles

Received: Apr. 8, 2021

Accepted: --

Published Online: Oct. 29, 2021

The Author Email:

DOI:10.3964/j.issn.1000-0593(2021)09-2657-08

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