欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2018, Vol. 34 ›› Issue (8): 51-56.doi: 10.11924/j.issn.1000-6850.casb17030090

• 林学 园艺 园林 • 上一篇    下一篇

毛竹林叶片磷和钾含量的不同尺度光谱响应研究

曹美芹,余坤勇,陈樟昊,俞欣妍   

  1. 福建农林大学林学院;,福建农林大学s技术实验室,福建农林大学s技术实验室;,福建农林大学s技术实验室;
  • 收稿日期:2017-03-14 修回日期:2017-06-02 接受日期:2017-06-12 出版日期:2018-03-21 发布日期:2018-03-21
  • 通讯作者: 余坤勇
  • 基金资助:
    福建农林大学大学生创新性实验项目“体现毛竹叶片生理生化参数变化的林分光谱表达特征的‘叶片-冠层’尺度效应”(201610389132)。

Spectral Response of Phosphorus and Potassium Content in Phyllostachys pubescens Leaves at Different Scales

  • Received:2017-03-14 Revised:2017-06-02 Accepted:2017-06-12 Online:2018-03-21 Published:2018-03-21

摘要： 研究不同尺度光谱对毛竹林叶片磷和钾含量的响应机制,为实时掌握毛竹林生长状况和营养水平有理论意义和实践指导价值。以毛竹林叶片与冠层2个尺度的原始光谱为数据源,通过一阶微分光谱等光谱变换,采用回归统计分析构建不同尺度磷素和钾素含量与敏感波段的光谱估算模型,并对其稳定性和预测性进行精度评价。结果表明：叶片光谱分析中以磷含量一阶微分光谱为变量的线性回归方程模型拟合精度高达74.90%,且在建立专一性较高的磷素含量估算模型上更有优势；冠层光谱分析中以钾含量一阶微分光谱为变量的线性方程模型拟合精度高达78.71%,且在建立专一性较高的钾素含量估算模型上更有优势；同时,一阶微分光谱可降低空间异质性以提高光谱估算模型反演精度。

关键词: 干旱胁迫, 干旱胁迫, 土壤水分动态, 耗水量, 水分利用效率

Abstract: The responses of different scales to the phosphorus and potassium contents in leaves of Phyllostachys pubescens were studied. The results showed that It is of theoretical and practical significance to grasp the growth status and nutrient level of Phyllostachys pubescens in real time.Based on the original spectral spectrum of leaf and canopy of Phyllostachys pubescens as the data source, The spectral estimation models of phosphorus and potassium contents and sensitive bands at different scales were constructed by regression analysis using first order differential spectroscopy and so on. The stability and predictability were evaluated accurately. The results showed that the linear regression equation model with the first order differential spectrum of phosphorus content in the spectral analysis was 74.90%,And it has an advantage in establishing a model with higher specific phosphorus content. In the canopy spectrum analysis, the linear equation model with the first-order differential spectrum of potassium content is as high as 78.71%, and it is more advantageous in establishing the model with high specificity of potassium. At the same time, the first order differential spectrum can reduce the spatial heterogeneity to improve the spectral estimation model inversion accuracy.