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Estimation of Wheat Agronomic Parameters using New Spectral Indices

文献类型： 外文期刊

作者： Jin, Xiu-liang 1 ; Diao, Wan-ying 3 ; Xiao, Chun-hua 3 ; Wang, Fang-yong 4 ; Chen, Bing 4 ; Wang, Ke-ru 1 ; Li, Shao-k 1 ;

作者机构： 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

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2013 年 8 卷 8 期

页码：

收录情况： SCI

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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