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Potential of spectral feature analysis to estimate nitrogen concentration in mixed canopies

机译:光谱特征分析潜力估计混合冠层中的氮浓度

摘要

Leaf nitrogen content is of great interest because of its role in photosynthesis, ecosystem productivity and thus influences global cycling of carbon and oxygen. The nitrogen concentration of a mixed forest in Switzerland was explored using HyMap data. The imaging spectrometer data were processed to correct for atmospheric and geometric distortion. In this preliminary study the spectral data was investigated using continuum removal analysis. In order to reduce external influences a normalization procedure was used. Relationships between transformed reflectance and fieldmeasured nitrogen concentration were investigated by using correlograms. A backward stepwise linear regression routine was applied to select the most important bands in predicting the response variable. This preliminary study showed that continuum removal analysis is applicable on HyMap data in complex mixed forests. Differences among plant functional types as well as species are visible in the normalized band depths curves. Correlations between transformed HyMap spectral data and measured nitrogen concentration could be found.
机译:叶片氮含量由于其在光合作用,生态系统生产力中的作用而受到极大关注,因此影响了碳和氧的全球循环。使用HyMap数据探索了瑞士混交林的氮浓度。处理成像光谱仪数据以校正大气和几何畸变。在这项初步研究中,使用连续介质去除分析法对光谱数据进行了研究。为了减少外部影响,使用了标准化程序。使用相关图研究了转换反射率与现场测得的氮浓度之间的关系。应用反向逐步线性回归例程来选择最重要的波段,以预测响应变量。这项初步研究表明,连续体去除分析适用于复杂混交林中的HyMap数据。在归一化的带深度曲线中可以看到植物功能类型和物种之间的差异。可以发现转换后的HyMap光谱数据与测得的氮浓度之间的相关性。

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