Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice
Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice
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小麦和水稻叶片氮积累的常见冠层植被指数分析
DOI：
10.1016/j.jag.2007.02.006
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发表时间：
2008-02
期刊：
影响因子：
--
通讯作者：
中科院分区：
文献类型：
--
作者：
确定了指示小麦叶片氮积累的常用光谱波段和植被指数（VI），并确定了小麦叶片氮积累与冠层反射光谱的定量关系。和水稻（Oryza sativa L.）。810和870nm是小麦和水稻中指示LNA的两个常见光谱波段。在MSR16辐射计16个波段的比值植被指数（RVI）、差值植被指数（DVI）和归一化差值植被指数（NDVI）中，RVI（870，660）和RVI（810，660）与小麦和水稻的LNA相关性最高。此外，无论是小麦还是水稻，维斯与LNA之间的关系都比单波段与LNA之间的关系更好。因此，小麦和水稻的LNA可以用共同的维斯指示，但单独的回归方程更适合LNA监测。
The common spectra wavebands and vegetation indices (VI) were identified for indicating leaf nitrogen accumulation (LNA), and the quantitative relationships of LNA to canopy reflectance spectra were determined in both wheat (Triticum aestivum L.) and rice (Oryza sativa L.). The 810 and 870nm are two common spectral wavebands indicating LNA in both wheat and rice. Among all ratio vegetation indices (RVI), difference vegetation indices (DVI) and normalized difference vegetation indices (NDVI) of 16 wavebands from the MSR16 radiometer, RVI (870, 660) and RVI (810, 660) were most highly correlated to LNA in both wheat and rice. In addition, the relations between VIs and LNA gave better results than relations between single wavebands and LNA in both wheat and rice. Thus LNA in both wheat and rice could be indicated with common VIs, but separate regression equations are better for LNA monitoring.
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影响因子：
13.5
作者：
B. Yoder;Rita E. Pettigrew-Crosby
通讯作者：
B. Yoder;Rita E. Pettigrew-Crosby
DOI：
--
发表时间：
2003
期刊：
--
影响因子：
--
作者：
WANGShao-hua;JIZhi-jun;LIUSheng-huang;DINGYan-feng;CAOWei-xing
通讯作者：
WANGShao-hua;JIZhi-jun;LIUSheng-huang;DINGYan-feng;CAOWei-xing
DOI：
--
发表时间：
2000
期刊：
Soil and Environmental Sciences
影响因子：
--
作者：
Ma Wen-qi
通讯作者：
Ma Wen-qi
DOI：
10.11873/j.issn.1004-0323.2003.4.206
发表时间：
2011-11
期刊：
Remote Sensing Technology and Application
影响因子：
--
作者：
Wang Ji-hua Liu Liang-yun Wang Jin-diZHAO Chun-jiang Huang Wen-jiang-Wang-Ji-hua-Liu-Liang-yun-Wang-Jin-diZHAO-Huang-1469217534
通讯作者：
Wang Ji-hua Liu Liang-yun Wang Jin-diZHAO Chun-jiang Huang Wen-jiang-Wang-Ji-hua-Liu-Liang-yun-Wang-Jin-diZHAO-Huang-1469217534
影响因子：
2.7
作者：
Jiang, D;Dai, T;Fan, X
通讯作者：
Fan, X