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首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Is field-measured tree height as reliable as believed - Part Ⅱ, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest
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Is field-measured tree height as reliable as believed - Part Ⅱ, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous forest

机译:是现场测量的树高,如认为 - 第Ⅱ部分,对落叶林中的常规场测量和低成本近距离遥感的树高估计的比较研究

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摘要

Tree height is one of the most important tree attributes in forest inventory. However, using conventional field methods to measure tree height is a laborious and time-consuming process. Despite the great interest in the past to facilitate tree height measurements, new, upcoming solutions are not yet thoroughly investigated. In this study, we investigated the applicability of different close-range remote sensing options for tree height measurement in a complex lowland deciduous forest. Six sample plots in a pedunculate oak forest were measured in detail using conventional methods. Close-range remote sensing datasets used in this study represent solutions from low-cost sensors used for hand-held personal laser scanning (PLShh), unmanned-borne laser scanning (ULS) and unmanned aerial vehicle photogrammetry (UAV(image)). Each tree in the sample plots was interactively measured directly from the point cloud, and correspondence of the field- and remote sensing measured trees was verified using tree positions collected during fieldwork. Cross-comparisons of different datasets were performed to evaluate the performances of different data sources in the tree height estimation with respect to crown class, tree height and species. All remote sensing data sources correlated well, e.g. biases between remote sensing sources were around +/- 1%. The field-measured tree height in general correlated well with remote sensing data sources. The uncertainties and bias of the field measurements were dependent on the tree height and crown class. Field measurements tended to underestimate codominant and intermediate trees at the approximately 1 m magnitude, whilst remote sensing data sources were robust to crown classes. Low-cost ULS used in this study, and very likely in general, may not have enough penetration capability when measuring low and mostly occluded trees, causing missed treetops. PLShh gave tree height estimates closer to the real tree height than those derived from conventional field measurements for trees above 21 m height.
机译:树高是森林库存中最重要的树属性之一。然而,使用传统的现场方法来测量树高是一种艰苦且耗时的过程。尽管过去的兴趣促进了树高测量,但新的即将到来的解决方案尚未彻底调查。在这项研究中,我们调查了不同近距离遥感选项在复杂的低地落叶林中树高测量的适用性。使用常规方法详细测量Pedurmulate橡树林中的六个样品图。本研究中使用的近距离遥感数据集代表了用于手持个人激光扫描(PLSHH)的低成本传感器的解决方案,无人驾驶激光扫描(ULS)和无人驾驶空中车辆摄影测量(UAV(图像))。样品图中的每棵树直接从点云相互作用地测量,并且使用在实地工作期间收集的树位置来验证现场和遥感测量树的对应关系。执行不同数据集的交叉比较,以评估关于冠类,树高度和物种的树高度估计中不同数据源的性能。所有遥感数据源都良好相关,例如,遥感源之间的偏差距离+/- 1%。通常与遥感数据源相一般相关的现场测量树高。现场测量的不确定性和偏差取决于树高和冠阶层。现场测量倾向于低估了Codominant和中间树,在大约1米的幅度下,而遥感数据源对冠类进行稳健。在本研究中使用的低成本ULS,通常通常可能在测量低且大多数闭塞的树木时可能没有足够的穿透能力,导致错过的树梢。 PLSHH将树高度估计更接近真实树高于从21米高于21米以上的树木的传统场测量结果。

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