Using multi-angle hyperspectral data to monitor canopy leaf nitrogen content of wheat

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• 作者：Xiao Song ; Duanyang Xu ; Li He ; Wei Feng ; Yonghua Wang ; Zhijie Wang…
• 关键词：Multi ; angle reflectance ; Hyperspectral ; Leaf nitrogen content ; Wheat ; Model
• 刊名：Precision Agriculture
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：17
• 期：6
• 页码：721-736
• 全文大小：1,120 KB
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Soil Science and Conservation
  Agriculture
  Meteorology and Climatology
  Statistics for Engineering, Physics, Computer Science, Chemistry and Geosciences
  Remote Sensing and Photogrammetry
  
• 出版者：Springer Netherlands
• ISSN：1573-1618
• 卷排序：17

文摘

Nitrogen (N) content is an important factor that can affect wheat production. The non-destructive testing of wheat canopy leaf N content through multi-angle hyperspectral remote sensing is of great importance for wheat production and management. Based on a 2-year experiment for winter wheat in Lethbridge (Canada), Zhengzhou (China), and Kaifeng (China) growing under different cultivation practices, the authors studied the relationships between N content and wheat canopy spectral data in solar principal plane (SPP) and perpendicular plane (PP) at different observation angles. Modeling was conducted according to the spectrum index with the highest correlation coefficient and the corresponding observation angle. The results showed that correlation coefficient between the spectral index and canopy leaf N content at each observation angle of the SPP was significantly higher than that of the PP. Significant differences in the correlation coefficient were also observed at different observation angles of the same observation plane, and the correlation coefficients of angles of −30° and −40° were higher than others. A model fitted by a power function by using mND705 as independent variable at an angle of −40° in the SPP showed the highest accuracy.