基于无人机多光谱数据和氮素空间分异的玉米冠层氮浓度估算
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郝琪, 陈天陆, 王富贵, 王振, 白岚方, 王永强, 王志刚
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Estimation of canopy nitrogen concentration in maize based on UAV multi- spectral data and spatial nitrogen heterogeneity
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HAO Qi, CHEN Tian-Lu, WANG Fu-Gui, WANG Zhen, BAI Lan-Fang, WANG Yong-Qiang, WANG Zhi-Gang
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表7 玉米冠层不同层次叶片氮浓度多因素方差分析
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Table 7 Multivariate variance analysis of leaf nitrogen concentration at different levels in maize canopy
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层位 Layer | 影响因素 Influence factor | V9 | V12 | R1 | R3 | 显著性 Sig. | 偏Eta平方 Partial Eta- squared | 显著性 Sig. | 偏Eta平方 Partial Eta- squared | 显著性 Sig. | 偏Eta平方 Partial Eta- squared | 显著性 Sig. | 偏Eta平方 Partial Eta- squared | 上层叶片 Upper leaf | E | ** | 0.98 | ** | 0.94 | ** | 0.89 | ** | 0.92 | N | ** | 0.81 | ** | 0.64 | ** | 0.57 | ** | 0.64 | F | ** | 0.62 | ** | 0.38 | ns | 0.13 | ** | 0.42 | E×N | ns | 0.04 | ns | 0.08 | ns | 0.10 | ns | 0.13 | E×F | ns | 0.04 | ns | 0 | ns | 0.01 | ns | 0.10 | N×F | * | 0.24 | ns | 0.02 | ns | 0 | ns | 0.08 | E×N×F | ns | 0.03 | ns | 0.02 | ns | 0.03 | ns | 0.06 | 中层叶片 Middle leaf | E | ** | 0.94 | ** | 0.93 | ** | 0.90 | ** | 0.89 | N | ** | 0.59 | ** | 0.75 | ** | 0.70 | ** | 0.66 | F | ** | 0.35 | ** | 0.42 | ** | 0.45 | ** | 0.47 | E×N | ns | 0.01 | ns | 0 | * | 0.19 | ns | 0.01 | E×F | ns | 0 | ns | 0 | ns | 0.01 | ns | 0.01 | N×F | ns | 0.01 | ns | 0.05 | ns | 0.05 | ns | 0 | E×N×F | ns | 0.04 | ns | 0.02 | ns | 0.01 | ns | 0.01 | 下层叶片 Lower leaf | E | ** | 0.86 | ** | 0.89 | ** | 0.85 | ** | 0.79 | N | ** | 0.44 | ** | 0.51 | ** | 0.56 | ** | 0.75 | F | ns | 0.15 | ** | 0.29 | * | 0.25 | ** | 0.30 | E×N | ns | 0.01 | ns | 0.04 | ns | 0 | * | 0.22 | E×F | ns | 0.00 | ns | 0 | ns | 0.01 | ns | 0.04 | N×F | ns | 0.04 | ns | 0.03 | ns | 0 | ns | 0.02 | E×N×F | ns | 0.02 | ns | 0.07 | ns | 0.04 | ns | 0 |
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