【摘要】 在不同灌水量条件下 ,对棉花单叶叶绿素含量和单叶全氮含量做相关分析 ,并采用地物光谱仪 ,获取北疆棉花冠层关键生育时期的高光谱数据 ,应用一阶微分光谱 ,衍生出基于光谱位置变量的分析方法 ,以红边积分面积(SDr)为自变量 ,冠层全氮 (TN)含量为因变量 ,做相关分析。结果表明 :叶绿素含量与TN含量呈显著的正相关 (R=0 .872 3 ,n =39) ,叶绿素含量能有效的估计棉花单叶TN含量 ;红边积分面积变量与冠层TN含量呈显著的相关性 ,相关系数是 0 .7394 (n =4 0 ) ,利用构建的相关模型可以较为精确地估测新陆早 6号、8号冠层叶片的全氮含量 ,RMSE分别为 0 .385 9和 0 .4 2 72。研究认为红边积分面积变量具有预测棉花冠层全氮含量的应用潜力。更多还原

【Abstract】 Under water stress, this project studied the correlation between leaf chlorophyll content (CHL.C) and leaf total nitrogen (TN) content, and analyzed Red Edge Area and canopy total nitrogen content using first derivative spectral data in cotton main growing periods. As result that there was a high positively correlation between leaf chlorophyll content (CHL.C) and leaf total nitrogen (TN) content, correlation coefficient (r= 0.8723 ** , n=39), the first derivative spectral data deduce Red Edge Area positively correlation with canopy TN content, correlation coefficient (r= 0.7394 ** , n=40). Established mathematic regression models were used to estimate TN content in Xin Luzao No.6 and Xin Luzao No.8 respectively, the results show that RMSE is 0.3859 and 0.4272. The study imply that leaf chlorophyll content can efficiently estimate leaf TN content, and Red Edge Area had lager applied potential capacity to estimate total nitrogen content in cotton canopy.更多还原