植物生态学报 ›› 2006, Vol. 30 ›› Issue (6): 983-990.DOI: 10.17521/cjpe.2006.0126
收稿日期:
2005-07-28
接受日期:
2005-12-28
出版日期:
2006-07-28
发布日期:
2006-11-30
通讯作者:
曹卫星
作者简介:
* E-mail: caow@njau.edu.cn基金资助:
ZHU Yan, YAO Xia, TIAN Yong-Chao, ZHOU Dong-Qin, LI Ying-Xue, CAO Wei-Xing()
Received:
2005-07-28
Accepted:
2005-12-28
Online:
2006-07-28
Published:
2006-11-30
Contact:
CAO Wei-Xing
摘要:
作物氮素积累动态是评价作物群体长势及估测产量和品质的重要指标,对于作物氮素的实时监测和精确管理具有重要意义。该文以5个小麦(Triticum aestivum)品种和3个水稻(Oryza sativa)品种在不同施氮水平下的3年田间试验为基础,综合研究了稻麦叶片氮积累量与冠层反射光谱的定量关系。结果表明,不同试验中拔节后叶片氮积累量均随施氮水平呈上升趋势;稻麦冠层光谱反射率在不同施氮水平下存在明显差异,可见光区(460~710 nm)反射率一般随施氮水平的增加逐渐降低,近红外波段(760~1 220 nm)反射率却随施氮水平的增加逐渐升高;就单波段而言,810和870 nm处的冠层光谱反射率均与稻麦叶片氮积累量具有相对较高的相关性;在光谱参数中,比值植被指数(Ratio vegetation index, RVI)(870,660)和RVI(810,660)均与稻麦叶片氮积累量具有高度的相关性,且相关系数明显高于单波段反射率,尤其是水稻作物;对于小麦和水稻,均可以利用统一的波段和光谱指数来监测其叶片氮积累量,并可以采用统一的回归方程来描述其叶片氮积累量随单波段反射率和反射光谱参数的变化模式,但若采用单独的回归系数则可以提高稻麦叶片氮积累量估测的准确性。
朱艳, 姚霞, 田永超, 周冬琴, 李映雪, 曹卫星. 稻麦叶片氮积累量与冠层反射光谱的定量关系. 植物生态学报, 2006, 30(6): 983-990. DOI: 10.17521/cjpe.2006.0126
ZHU Yan, YAO Xia, TIAN Yong-Chao, ZHOU Dong-Qin, LI Ying-Xue, CAO Wei-Xing. QUANTITATIVE RELATIONSHIP BETWEEN LEAF NITROGEN ACCUMULATION AND CANOPY REFLECTANCE SPECTRA IN RICE AND WHEAT. Chinese Journal of Plant Ecology, 2006, 30(6): 983-990. DOI: 10.17521/cjpe.2006.0126
波段Band | 460 | 510 | 560 | 610 | 660 | 680 | 710 | 760 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
中心波长Center wavelength (nm) | 460.4 | 511.4 | 560.9 | 610.7 | 661.7 | 682.0 | 711.4 | 761.2 | ||||||
带宽Band width (nm) | 8.3 | 8.8 | 8.7 | 9.7 | 9.4 | 11.7 | 12.4 | 9.9 | ||||||
波段Band | 810 | 870 | 950 | 1 100 | 1 220 | 1 480 | 1 500 | 1 650 | ||||||
中心波长Center wavelength (nm) | 812.6 | 871.6 | 951.2 | 1 099.5 | 1 222.8 | 1 480.2 | 1 500.2 | 1 669.0 | ||||||
带宽Band width (nm) | 11.2 | 12.6 | 10.6 | 16.3 | 11.5 | 13.1 | 15.3 | 195.0 |
表1 Cropscan波段的中心波长和带宽
Table 1 The center wavelength and band width of Cropscan
波段Band | 460 | 510 | 560 | 610 | 660 | 680 | 710 | 760 | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
中心波长Center wavelength (nm) | 460.4 | 511.4 | 560.9 | 610.7 | 661.7 | 682.0 | 711.4 | 761.2 | ||||||
带宽Band width (nm) | 8.3 | 8.8 | 8.7 | 9.7 | 9.4 | 11.7 | 12.4 | 9.9 | ||||||
波段Band | 810 | 870 | 950 | 1 100 | 1 220 | 1 480 | 1 500 | 1 650 | ||||||
中心波长Center wavelength (nm) | 812.6 | 871.6 | 951.2 | 1 099.5 | 1 222.8 | 1 480.2 | 1 500.2 | 1 669.0 | ||||||
带宽Band width (nm) | 11.2 | 12.6 | 10.6 | 16.3 | 11.5 | 13.1 | 15.3 | 195.0 |
光谱参数 Spectral parameter | 缩写 Abbreviation | 计算公式 Algorithm formula | 参考文献 Reference |
---|---|---|---|
单波段反射率 Reflectance | ρλ | ||
比值植被指数 Ratio vegetation index | RVI (λ1, λ2) | ρλ1/ρλ2 | Pearson & Miller, |
差值植被指数 Differential vegetation index | DVI (λ1, λ2) | ρλ1-ρλ2 | Jordan, |
归一化差值植被指数Normalized difference vegetation index | NDVI (λ1, λ2) | (ρλ1-ρλ2)/(ρλ1+ρλ2) | Rouse et al., |
表2 光谱参数计算方法
Table 2 Algorithm of different spectral parameters
光谱参数 Spectral parameter | 缩写 Abbreviation | 计算公式 Algorithm formula | 参考文献 Reference |
---|---|---|---|
单波段反射率 Reflectance | ρλ | ||
比值植被指数 Ratio vegetation index | RVI (λ1, λ2) | ρλ1/ρλ2 | Pearson & Miller, |
差值植被指数 Differential vegetation index | DVI (λ1, λ2) | ρλ1-ρλ2 | Jordan, |
归一化差值植被指数Normalized difference vegetation index | NDVI (λ1, λ2) | (ρλ1-ρλ2)/(ρλ1+ρλ2) | Rouse et al., |
图1 试验3中不同施氮水平下`淮麦20'小麦品种在开花期的冠层光谱反射率
Fig.1 Canopy reflectance under different nitrogen rates at anthesis of `Huaimai 20' wheat in experiment 3 N0: 0 N1: 75 kg N·hm-2 N2: 150 kg N·hm-2 N3: 225 kg N·hm-2 N4: 300 kg N·hm-2
图2 试验5中不同施氮水平下‘武香粳9’水稻品种在齐穗期的冠层光谱反射率 N0,N1,N2,N3,N4:见图1 See Fig. 1
Fig.2 Canopy reflectance under different nitrogen rates at full heading of `Wuxianggeng 9' rice in experiment 5
作物类型 Crop type | 波长 Wavelength(nm) | 回归方程 Regression equation | 决定系数 R2 |
---|---|---|---|
小麦(n=381) Wheat | 810 | y=0.250 8x-3.695 1 | 0.768 2 |
870 | y=0.253 7x-3.998 3 | 0.759 6 | |
760 | y=0.320 3x-4.926 7 | 0.753 0 | |
950 | y=0.298 7x-5.015 6 | 0.744 8 | |
1 100 | y=0.289 6x-4.865 4 | 0.729 6 | |
水稻(n=222) Rice | 660 | y=12.519x-0.854 0 | 0.495 3 |
680 | y=11.029x-0.770 6 | 0.427 1 | |
610 | y=15.025x-0.846 2 | 0.375 0 | |
810 | y=0.201 7x-1.160 9 | 0.324 2 | |
870 | y=0.185 7x-0.915 4 | 0.294 6 | |
稻麦(n=603) Wheat & rice | 810 | y=0.237 7x-2.906 8 | 0.621 3 |
870 | y=0.237 7x-3.149 7 | 0.610 7 |
表3 稻麦叶片氮积累量(y)与冠层光谱反射率(x)之间的定量关系
Table 3 Quantitative relationships of leaf nitrogen accumulation to canopy spectral reflectance in wheat and rice
作物类型 Crop type | 波长 Wavelength(nm) | 回归方程 Regression equation | 决定系数 R2 |
---|---|---|---|
小麦(n=381) Wheat | 810 | y=0.250 8x-3.695 1 | 0.768 2 |
870 | y=0.253 7x-3.998 3 | 0.759 6 | |
760 | y=0.320 3x-4.926 7 | 0.753 0 | |
950 | y=0.298 7x-5.015 6 | 0.744 8 | |
1 100 | y=0.289 6x-4.865 4 | 0.729 6 | |
水稻(n=222) Rice | 660 | y=12.519x-0.854 0 | 0.495 3 |
680 | y=11.029x-0.770 6 | 0.427 1 | |
610 | y=15.025x-0.846 2 | 0.375 0 | |
810 | y=0.201 7x-1.160 9 | 0.324 2 | |
870 | y=0.185 7x-0.915 4 | 0.294 6 | |
稻麦(n=603) Wheat & rice | 810 | y=0.237 7x-2.906 8 | 0.621 3 |
870 | y=0.237 7x-3.149 7 | 0.610 7 |
作物类型 Crop type | 波长 Wavelength(nm) | 回归方程 Regression equation | 决定系数 R2 |
---|---|---|---|
小麦Wheat (n=381) | RVI(950,660) | y=0.413 3x0.986 3 | 0.848 7 |
RVI (1 100,660) | y=0.401 7x0.992 5 | 0.849 8 | |
RVI (870,660) | y=0.443 2x0.936 2 | 0.848 2 | |
RVI (810,660) | y=0.477 6x0.914 3 | 0.845 6 | |
RVI (760,660) | y=0.477 3x0.955 4 | 0.840 6 | |
水稻Rice (n=222) | RVI (870,660) | y=0.351 8x+1.221 8 | 0.642 5 |
RVI (810,660) | y=0.361 8x+1.265 5 | 0.641 9 | |
RVI (1 220,660) | y=0.577 1x+0.846 7 | 0.628 8 | |
RVI (870,610) | y=0.498x+0.850 5 | 0.604 1 | |
RVI (810,610) | y=0.506x+0.948 2 | 0.598 7 | |
稻麦Wheat & rice (n=603) | RVI (870,660) | y=0.493 3x0.919 8 | 0.798 8 |
RVI (810,660) | y=0.534 6x0.897 6 | 0.793 5 |
表4 稻麦叶片氮积累量(y)与冠层光谱参数(x)之间的定量关系
Table 4 Quantitative relationships of leaf nitrogen accumulation and canopy spectral parameters in wheat and rice
作物类型 Crop type | 波长 Wavelength(nm) | 回归方程 Regression equation | 决定系数 R2 |
---|---|---|---|
小麦Wheat (n=381) | RVI(950,660) | y=0.413 3x0.986 3 | 0.848 7 |
RVI (1 100,660) | y=0.401 7x0.992 5 | 0.849 8 | |
RVI (870,660) | y=0.443 2x0.936 2 | 0.848 2 | |
RVI (810,660) | y=0.477 6x0.914 3 | 0.845 6 | |
RVI (760,660) | y=0.477 3x0.955 4 | 0.840 6 | |
水稻Rice (n=222) | RVI (870,660) | y=0.351 8x+1.221 8 | 0.642 5 |
RVI (810,660) | y=0.361 8x+1.265 5 | 0.641 9 | |
RVI (1 220,660) | y=0.577 1x+0.846 7 | 0.628 8 | |
RVI (870,610) | y=0.498x+0.850 5 | 0.604 1 | |
RVI (810,610) | y=0.506x+0.948 2 | 0.598 7 | |
稻麦Wheat & rice (n=603) | RVI (870,660) | y=0.493 3x0.919 8 | 0.798 8 |
RVI (810,660) | y=0.534 6x0.897 6 | 0.793 5 |
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