Estimation of wheat agronomic parameters using new spectral indices.
Estimation of wheat agronomic parameters using new spectral indices.
复制标题
使用新光谱指数估算小麦农艺参数
DOI：
10.1371/journal.pone.0072736
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Li SK
中科院分区：
文献类型：
--
作者：
Jin XL;Diao WY;Xiao CH;Wang FY;Chen B;Wang KR;Li SK
作物农艺参数（叶面积指数、氮素吸收量、叶绿素含量）对作物生长的预测具有重要意义。本试验的目的是探讨是否可以准确地预测小麦叶面积指数，氮吸收，和总叶绿素含量利用光谱指数收集在小麦生长的不同阶段。首先，利用优化的土壤调节植被指数与小麦生物量干重的乘积（OSAVI×BDW）估算叶面积指数、氮吸收量和叶绿素总量;其次，用光谱指数代替BDW，建立新的光谱指数（OSAVI×OSAVI、OSAVI×SIPI、OSAVI×CIred edge、OSAVI×CIGreen模式和OSAVI× EVI 2）;最后，利用新的光谱指数估算叶面积指数、氮吸收量和叶绿素总量。结果表明，新的光谱指数可以用来准确地估计叶面积指数，氮吸收和总叶绿素含量。叶面积指数、氮素吸收量和叶绿素含量的R2最高，分别为0.711和0.78（OSAVI× EVI 2）; RMSE最低，分别为0.785和3.98 g/m2（OSAVI×CIred edge）;新的光谱指数比单独的OSAVI表现更好，并且改善了在早期生长阶段缺乏灵敏度和在后期生长阶段饱和的问题，这些问题通常与OSAVI相关。总体结果表明，这种新的光谱指数提供了最好的近似估计的农艺指标的所有生育阶段的小麦。
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 (OSAVI×BDW) were used to estimate LAI, N uptake, and total Chl content; secondly, BDW was replaced by spectral indices to establish new spectral indices (OSAVI×OSAVI, OSAVI×SIPI, OSAVI×CIred edge, OSAVI×CIgreen mode and OSAVI×EVI2); 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 R2 and the lowest RMSEs were 0.711 and 0.78 (OSAVI×EVI2), 0.785 and 3.98 g/m2 (OSAVI×CIred edge) and 0.846 and 0.65 g/m2 (OSAVI×CIred 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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影响因子：
13.5
作者：
ELVIDGE, CD;LYON, RJP
通讯作者：
LYON, RJP
影响因子：
3.4
作者：
BUSCHMANN, C;NAGEL, E
通讯作者：
NAGEL, E
影响因子：
13.5
作者：
Houborg, Rasmus;Anderson, Martha C.;Rodell, Matthew
通讯作者：
Rodell, Matthew
影响因子：
13.5
作者：
BAUSCH, WC
通讯作者：
BAUSCH, WC
影响因子：
2.1
作者：
Moges, SM;Raun, WR;Solie, JB
通讯作者：
Solie, JB