基于红边参数的夏玉米长势监测及其营养诊断研究

Summer maize growth supervision and nutrition diagnosis with red edge parameters

分析了夏玉米各组分含量、红边参数以及两者间的相关性。结果表明,可利用FD-Max反演叶面积指数,利用Depth672反演茎秆全N含量,利用Lwidth反演叶片全N含量、叶片和茎秆的含水量以及可溶性糖含量。构建了以红边参数为自变量的各组分的反演模型,对反演模型预测性分析表明,利用上述红边参数预测农学组分是可行的。

The correlations of agronomy components and red edge parameters were discussed. The results indicate that the FD-Max can be used for predition of leaf area index,and Depth672 for the stem total nitrogen content,Lwidth for the leaf total nitrogen content, water content and soluble sugar of leaf and stem. The regression models with the red edge parameters as independent variables were established. The analysis on the forecasting function of the models shows that red edge parameters can be used as sensitive indicators of summer maize growth and nutrition status.