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Monitoring the ratio of leaf carbon to nitrogen in winter wheat with hyperspectral measurements

机译:监测叶碳与高光谱测量的冬小麦中的叶片与氮的比例

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In crop leaves the ratio of carbon to nitrogen (C/N), defined as ratio of LCC (leaf carbon concentration) to LNC (leaf nitrogen concentration), is a good indicator that can synthetically evaluate the balance of carbon and nitrogen, nutrient status in crop plants. Hence it is very important how to monitor changes of leaf C/N effectively and in real time for nutrient diagnosis and growing management of crops in fields. In consideration of the close relationships between chlorophyll, nitrogen (N) and C/N, some typical indices aimed at N estimation were tested to estimate leaf C/N in winter wheat as well as several indices aimed chlorophyll evaluation. The multi-temporal hyperspectral data from the flag-leaf, anthesis, filling, and milk-ripe stages were obtained to calculate these selected spectral indices for evaluating C/N in winter wheat. The results showed that some tested indices such as MCARI/OSAVI2, MTCI and Rep-Le had the better performance of estimating C/N. In addition, GRA (gray relational analysis) and Branch-and-Bound method were also used along with spectral indices sensitive to C/N for improving the accuracy of monitoring C/N in winter wheat, and obtained the better results with R~2 of 0.74, RMSE of 0.991. It indicates that monitoring of leaf C/N in winter wheat with hyperspectral reflectance measurements appears very potential.
机译:在作物中,碳与氮(C / N)的比率,定义为LCC(叶碳浓度)与LNC(叶片氮浓度)的比率,是一种良好的指标,可综合评价碳和氮的平衡,营养状况在作物植物中。因此,如何实际地监测叶片C / N的变化,实时监测营养诊断和越来越多的农产品管理。考虑到叶绿素,氮气(N)和C / N之间的密切关系,测试了针对N估计的一些典型指标,以在冬小麦中估算叶C / N以及近几种索引的叶绿素评估。获得来自旗叶,开花,填充和牛奶成熟阶段的多时间高光谱数据,以计算冬小麦中评估C / N的这些选定的光谱索引。结果表明,一些测试指数,如Mcari / Osavi2,MTCI和Rep-Le,估计C / N的性能更好。此外,GRA(灰色关系分析)和分支和结合的方法也与C / N敏感的光谱索引,以提高冬小麦中监测C / N的准确性,并获得更好的结果与R〜2 0.74,RMSE为0.991。它表明,冬小麦叶C / N的监测具有高光谱反射率测量的似乎非常潜力。

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