Analysis of common canopy vegetation indices for indicating leaf nitrogen accumulations in wheat and rice

被引:163
作者
Zhu, Yan [1 ]
Yao, Xia [1 ]
Tian, YongChao [1 ]
Liu, XiaoJun [1 ]
Cao, WeiXing [1 ]
机构
[1] Nanjing Agr Univ, Hitech Key Lab Informat Agr Jiangsu Prov, Key Lab Crop Growth Regulat, Minist Agr, Nanjing 210095, Peoples R China
基金
中国国家自然科学基金;
关键词
canopy reflectance spectra; CropScan; leaf nitrogen accumulation; ratio vegetation index; rice; wheat;
D O I
10.1016/j.jag.2007.02.006
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
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 8 10 and 870 nm 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. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 10
页数:10
相关论文
共 50 条
[21]   Quantitative relationships of leaf nitrogen status to canopy spectral reflectance in rice [J].
Zhu, Yan ;
Zhou, Dongqin ;
Yao, Xia ;
Tian, Yongchao ;
Cao, Weixing .
AUSTRALIAN JOURNAL OF AGRICULTURAL RESEARCH, 2007, 58 (11) :1077-1085
[22]   Dynamics of vertical leaf nitrogen distribution in a vegetative wheat canopy. Impact on canopy photosynthesis [J].
Dreccer, MF ;
Van Oijen, M ;
Schapendonk, AHCM ;
Pot, CS ;
Rabbinge, R .
ANNALS OF BOTANY, 2000, 86 (04) :821-831
[23]   Nitrogen-supplying capacity of soils for rice and wheat and nitrogen availability indices in soils of northwest India [J].
Nayyar, Atul ;
Bijay-Singh ;
Yadvinder-Singh .
COMMUNICATIONS IN SOIL SCIENCE AND PLANT ANALYSIS, 2006, 37 (7-8) :961-976
[24]   Using multi-angle hyperspectral data to monitor canopy leaf nitrogen content of wheat [J].
Song, Xiao ;
Xu, Duanyang ;
He, Li ;
Feng, Wei ;
Wang, Yonghua ;
Wang, Zhijie ;
Coburn, Craig A. ;
Guo, Tiancai .
PRECISION AGRICULTURE, 2016, 17 (06) :721-736
[25]   Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves [J].
Lu, Jingshan ;
Yang, Tiancheng ;
Su, Xi ;
Qi, Hao ;
Yao, Xia ;
Cheng, Tao ;
Zhu, Yan ;
Cao, Weixing ;
Tian, Yongchao .
PRECISION AGRICULTURE, 2020, 21 (02) :324-348
[26]   Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves [J].
Jingshan Lu ;
Tiancheng Yang ;
Xi Su ;
Hao Qi ;
Xia Yao ;
Tao Cheng ;
Yan Zhu ;
Weixing Cao ;
Yongchao Tian .
Precision Agriculture, 2020, 21 :324-348
[27]   ANN-based Wheat Chlorophyll Density Estimation Using Canopy Hyperspectral Vegetation Indices [J].
Wang Dacheng ;
Sen, Luorui ;
Wang Jihua ;
Li Cunjun ;
Zhang Dongyan ;
Zhang Yao ;
Li Yufei .
ADVANCED MATERIALS IN MICROWAVES AND OPTICS, 2012, 500 :243-+
[28]   Detection of nitrogen-overfertilized rice plants with leaf positional difference in hyperspectral vegetation index [J].
Zhou, Qi-fa ;
Liu, Zhan-yu ;
Huang, Jing-feng .
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2010, 11 (06) :465-470
[29]   Vegetation indices in the estimation of common bean yield cultivated under nitrogen rates [J].
Turci Sandrini, Fernando de Oliveira ;
Leal, Fabio Tiraboschi ;
Coelho, Anderson Prates ;
Lemos, Leandro Borges ;
Rosalen, David Luciano .
REVISTA BRASILEIRA DE CIENCIAS AGRARIAS-AGRARIA, 2019, 14 (04)
[30]   Estimation of Vertical Leaf Nitrogen Distribution Within a Rice Canopy Based on Hyperspectral Data [J].
He, Jiaoyang ;
Zhang, Xiangbin ;
Guo, Wanting ;
Pan, Yuanyuan ;
Yao, Xia ;
Cheng, Tao ;
Zhu, Yan ;
Cao, Weixing ;
Tian, Yongchao .
FRONTIERS IN PLANT SCIENCE, 2020, 10