Estimation of Wheat Agronomic Parameters using New Spectral Indices

被引:66
作者
Jin, Xiu-liang [1 ,2 ]
Diao, Wan-ying [3 ]
Xiao, Chun-hua [3 ]
Wang, Fang-yong [4 ]
Chen, Bing [4 ]
Wang, Ke-ru [1 ,3 ]
Li, Shao-kun [1 ,3 ]
机构
[1] Chinese Acad Agr Sci, Minist Agr, Inst Crop Sci, Key Lab Crop Physiol & Prod, Beijing 100193, Peoples R China
[2] Beijing Res Ctr Informat Technol Agr, Beijing, Peoples R China
[3] Key Lab Oasis Ecol Agr Xinjiang Construct Crops, Shihezi, Peoples R China
[4] Xinjiang Acad Agr Reclamat Sci, Inst Cotton, Shihezi, Peoples R China
来源
PLOS ONE | 2013年 / 8卷 / 08期
基金
“十二五”国家科技支撑计划重点项目”; 中国国家自然科学基金;
关键词
REFLECTANCE SPECTRA; VEGETATION INDEX; LEAF CHLOROPHYLL; NITROGEN; SOIL; CANOPY; LEAVES; GREEN; CORN; RED;
D O I
10.1371/journal.pone.0072736
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the optimized soil-adjusted vegetation index and wheat biomass dry weight (OSAVIxBDW) were used to estimate LAI, N uptake, and total Chl content; secondly, BDW was replaced by spectral indices to establish new spectral indices (OSAVIxOSAVI, OSAVIxSIPI, OSAVIxCI(red edge), OSAVIxCI(green mode) and OSAVIxEVI2); finally, we used the new spectral indices for estimating LAI, N uptake, and total Chl content. The results showed that the new spectral indices could be used to accurately estimate LAI, N uptake, and total Chl content. The highest R-2 and the lowest RMSEs were 0.711 and 0.78 (OSAVIxEVI2), 0.785 and 3.98 g/m(2) (OSAVIxCI(red edge)) and 0.846 and 0.65 g/m(2) (OSAVIxCI(red edge)) for LAI, nitrogen uptake and total Chl content, respectively. The new spectral indices performed better than the OSAVI alone, and the problems of a lack of sensitivity at earlier growth stages and saturation at later growth stages, which are typically associated with the OSAVI, were improved. The overall results indicated that this new spectral indices provided the best approximation for the estimation of agronomic indices for all growth stages of wheat.
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页数:8
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