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Characteristics of Decomposition Powers of L-Band Multi-Polarimetric SAR in Assessing Tree Growth of Industrial Plantation Forests in the Tropics

机译:热带地区工业人工林林木生长评估中的L波段多极化SAR分解能力特征

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A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume. The scattering power decomposition of the polarimetric SAR data was performed both with and without a rotation matrix and compared to the following field-measured forest biometric parameters: tree diameter, tree height and stand volume. The analytical results involving the rotation matrix correlated better than those without the rotation matrix even for natural scattering surfaces within the forests. Our primary finding was that all of the decomposition powers from the rotated matrix correlated significantly to the forest biometric parameters when divided by the total power. The surface scattering ratio of the total power markedly decreased with the forest growth, whereas the canopy and double-bounce scattering ratios increased. The observations of the decomposition powers were consistent with the tree growth characteristics. Consequently, we found a significant logarithmic relationship between the decomposition powers and the forest biometric parameters that can potentially be used to estimate the forest stand volume.
机译:将分解方案应用于从印度尼西亚苏门答腊岛一个快速生长的人工林获得的ALOS / PALSAR数据,以提取树茎信息,然后估算林分数量。极化SAR数据的散射功率分解在有无旋转矩阵的情况下均进行,并与以下现场测量的森林生物特征参数进行比较:树木直径,树木高度和林分体积。即使对于森林中的自然散射表面,涉及旋转矩阵的分析结果也比没有旋转矩阵的分析结果更好。我们的主要发现是,除以总功率后,旋转矩阵的所有分解功率均与森林生物特征参数显着相关。随着森林的生长,总功率的表面散射率明显降低,而冠层和双反弹散射率则增加。分解力的观察结果与树木的生长特征一致。因此,我们发现了分解能力与森林生物特征参数之间的显着对数关系,这些参数可以潜在地用于估算林分蓄积量。

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