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Mapping spatio-temporal variation in Douglas-fir (Pseudotsuga menziesii) foliar biochemistry

机译:Douglas-FIR中的映射时空变化(假芽脑细胞)叶面生物化学

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A high resolution imaging spectroscopy study was conducted, which investigated the spatial and temporal diversity of biochemistry in Douglas-fir (Pseudotsuga menziesii) stands of southern Vancouver Island, Canada. An AVIRIS dataset with a nominal spatial resolution of 4m was acquired coincident with sample acquisition that measured organic and inorganic chemistry. An AISA dataset was colledted for the same study site. Partial least-squares regression was applied and chemistry was modeled from reflectance. Nitrogen, chlorophyll (a, b) were selected as contributing to reflectance responses. Chemistry estimation achieved R2 values ≥ 0.93 for both datasets. The models applied to the hyperspectral imagery yielded two temporally discrete datasets of biochemistry. Change detection analysis was conducted with attention to chlorophyll a/b for its ability to indentify regions of forest disturbance and stress. Factors affecting biochemistry were investigated with reference to laboratory data (management strategy and maturity).
机译:进行了高分辨率的成像光谱研究,该研究研究了加拿大南温哥华岛的道格拉斯 - 冷杉(Pseudotsuga Menziesii)的生物化学的空间和时间多样性。获得标称空间分辨率为4M的Aviris数据集与测量有机和无机化学的样品采集一致。对于同一学习网站,Consa DataSet被Colledted。应用局部最小二乘回归,并从反射率建模化学。选择氮,叶绿素(A,B)作为反射响应的贡献。化学估计实现了两个数据集的R 2 值≥0.93。应用于高光谱图像的模型产生了两次暂时离散的生物化学数据集。通过注意叶绿素A / B进行变化检测分析,以依附森林扰动和压力区域的能力。根据实验室数据(管理战略和成熟)调查了影响生物化学的因素。

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