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A Simplified 3D Radiative Transfer Approach for the Retrieval of Chemical and Structural Properties of Individual Tree Crowns from Hyperspectral Data

机译:从高光谱数据中检索单个树冠化学和结构性质的简化3D辐射转移方法

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In this work, we used hyperspectral remote sensing and a simplified three-dimensional radiative transfer approach to retrieve structural and chemical properties of individual tree crowns (ITCs) from a tropical forest area. First, a Look-Up-Table of simulated ITC reflectance was built by randomly varying parameters of the DART and PROSPECT models. Then, simulated and experimental reflectance of ITCs were compared in terms of spectral similarity. Finally, model parameters that yielded simulations spectrally similar to experimental data were related to sub-pixel fractions and narrow-band vegetation indices computed from the hyperspectral images. DART canopy structural parameters were related to the proportion of non-photosynthetic vegetation (NPV) (R2=0.65), green photosynthetic vegetation (GV) (R2=0.72) and shade (R2=0.34) estimated within ITCs. PROSPECT parameters describing foliar chemical traits such as Chlorophyll a+b (Cab) and Carotenoids (Cxc) were related to the ratio of TCARI/OSAVI (R2=0.77) indices and to the simple ratio between reflectance at 515 nm and 570 nm (R515/R570) (R2=0.42), respectively.
机译:在这项工作中,我们使用了高光谱遥感和简化的三维辐射转移方法,从热带森林地区检索了单个树冠(ITC)的结构和化学性质。首先,通过随机改变DART和PROSPECT模型的参数来构建模拟ITC反射率的查找表。然后,根据光谱相似性比较了ITC的模拟和实验反射率。最后,产生与实验数据在光谱上相似的模拟的模型参数与从高光谱图像计算出的亚像素分数和窄带植被指数有关。 DART冠层结构参数与非光合植被(NPV)(R 2 = 0.65),绿色光合植被(GV)(R 2 = 0.72)和阴影(R 2 = 0.34)在ITC内估算。预测叶片化学特性的参数,例如叶绿素a + b(Cab)和类胡萝卜素(C xc )与TCARI / OSAVI(R 2 = 0.77)指数和515 nm和570 nm(R的反射率之间的简单比率 515 / R 570 )(R 2 = 0.42)。

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