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Testing Different Methods of Forest Height and Aboveground Biomass Estimations From ICESat/GLAS Data in Eucalyptus Plantations in Brazil

机译:根据ICESat / GLAS数据对巴西桉树人工林中不同的森林高度和地上生物量估计方法进行测试

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摘要

The Geoscience Laser Altimeter System (GLAS) has provided a useful dataset for estimating forest heights in many areas of the globe. Most of the studies on GLAS waveforms have focused on natural forests and only a few were conducted over forest plantations. This work set out to estimate the stand-scale dominant height and aboveground biomass of intensively managed Eucalyptus plantations in Brazil using the most commonly used models developed for natural forests. These forest plantations are valuable case studies, with large and numerous stands that are very uniform, in which field measurements are precise compared to natural forests. The height of planted Eucalyptus forest stands estimated from waveforms acquired by GLAS were compared with in situ measurements in order to determine the model that produced the best forest height estimates. For our slightly sloping study site $({rm slope}< {hbox{7}}^{circ})$, the direct method defined as the difference between the signal begin and the ground peak provided forest height estimates with an accuracy of 2.2 m. The use of statistical models based on waveform metrics and digital elevation models provided slightly better results (1.89 m accuracy) in comparison with the direct method and the most relevant metrics proved to be the trailing edge extent and the waveform extent. Moreover, a power law model was used to fit in situ aboveground biomass to in situ forest height. The results using this model with GLAS-derived heights showed an accuracy for biomass of 16.1 Mg/ha.
机译:地球科学激光测高仪系统(GLAS)为估算全球许多地区的森林高度提供了有用的数据集。关于GLAS波形的大多数研究都集中在天然林上,只有很少一部分是在人工林上进行的。这项工作着手使用为天然林开发的最常用模型来估算巴西集约经营的桉树人工林的林分尺度优势高度和地上生物量。这些人工林是有价值的案例研究,拥有众多且非常统一的林分,与天然林相比,实地测量更为精确。将通过GLAS采集的波形估算出的桉树人工林的高度与原位测量结果进行比较,以确定产生最佳森林高度估算值的模型。对于我们稍微倾斜的研究站点$({rmlope} <{hbox {7}} ^ {circ})$,直接方法定义为信号开始与地面峰值之间的差,提供的林高估计值为2.2米与直接方法相比,基于波形度量和数字高程模型的统计模型的使用提供了更好的结果(精度为1.89 m),并且最相关的度量被证明是后沿范围和波形范围。此外,使用幂定律模型将原地地上生物量拟合到原地森林高度。使用具有GLAS得出的高度的该模型的结果显示,生物量的准确度为16.1 Mg / ha。

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