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首页> 外文期刊>The photogrammetric journal of Finland >SATELLITE LIDAR ESTIMATION OF STEMWOOD VOLUME; A METHOD USING WAVEFORM DECOMPOSITION
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SATELLITE LIDAR ESTIMATION OF STEMWOOD VOLUME; A METHOD USING WAVEFORM DECOMPOSITION

机译：木材体积的卫星激光雷达估计；一种使用波形分解的方法

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摘要

Canopy metrics from ICESat/GLAS lidar waveforms were applied to estimate stemwood volume for a mixed temperate forest. Gaussian decomposition from product GLA14 was used to infer a ground surface return from within the waveform. The region of the waveform returned from the vegetation was subsequently taken to be between this position and the beginning of the waveform signal. The heights of vegetation return cumulative energy percentiles were then calculated and used for the estimation of stemwood volume. For the tallest species within footprints, stemwood volume estimates for conifers produced R~2 of 0.59, RMSE 98.3 m~3/ha and for broadleaf species, R~2 of 0.75, RMSE 59.1 m~3 /ha were found. Stemwood volume estimates taking account of the mixed species composition within stands were also calculated. For mixed stand estimates, R~2 of 0.66, RMSE 82.5 m~3/ha was found for stands dominated by conifers whilst stands with greatest percentage cover provided by broadleaf species produced R~2 of 0.47, RMSE 75.6 m ~3ha.
机译：应用来自ICESat / GLAS激光雷达波形的树冠度量标准来估计温带混交林的树干木材量。乘积GLA14的高斯分解被用来从波形内推断出地面返回。从植被返回的波形区域随后被认为处于该位置与波形信号的开始之间。然后计算出植被返回的累积能量百分位数的高度，并将其用于估算树干木材的体积。对于足迹内最高的树种，针叶树的材材估计的R〜2为0.59，RMSE为98.3 m〜3 / ha，阔叶树种的R〜2为0.75，RMSE为59.1 m〜3 / ha。还计算了考虑到林分内混合物种组成的锯材体积估计。对于混合林分估计，发现以针叶树为主的林分的R〜2为0.66，RMSE为82.5 m〜3 / ha，而阔叶树种提供最大覆盖率的林分的R〜2为0.47，RMSE为75.6 m〜3ha。

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