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Using a terrestrial laser scanner to detect wood characteristics in gravel-bed rivers

机译:使用地面激光扫描仪检测砾石河床中的木材特征

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The possibility of analysing the characteristics and volume of inchannel large wood (LW) is of importance for river management but the traditional manual field activities are usually time-consuming and not easy to apply at a larger spatial scale. This paper presents an alternative and faster method to detect the characteristics and measurements of large wood in rivers by using the terrestrial laser scanner (TLS) technology. Field-measurements data and TLS scans were collected in August 2013 along 14 ha of the Piave River (Italy) analysing 230 and 208 woody elements for the manual method and the TLS one, respectively. TLS data were processed using the Cyclone 7 software and the LW measurements were extracted adopting two specific tools. The resulting low margin of error in the comparison between field data and those derived from TLS surveys confirmed the ability of TLS in the detection of large wood and wood jams characteristics. The greatest deviations were found for wood jams height which the TLS showed a tendency to overestimate (+24.37%) and LW length with a slight underestimation (–19.76%). Considering the wood volume, the relative difference between the TLS and manual method was within a negligible margin of error of ±7%. Characteristics and measurements of LW in rivers can be obtained from TLS surveys, but some progress in this technique is still needed to allow a better management of the 3D point cloud and a faster extraction of the wood measurements. The proposed method represents an alternative tool for faster and repeated surveys of wood characteristics in a complex river environment, ensuring a reliable quantification of spatial and temporal variation of wood volume.
机译:对于河道管理来说,分析河道内大木材(LW)的特征和数量的可能性非常重要,但是传统的手工野外活动通常很耗时,而且不易在较大的空间规模上应用。本文提出了一种使用陆地激光扫描仪(TLS)技术来检测河流中大型木材的特征和尺寸的替代方法,该方法速度更快。实地测量数据和TLS扫描是2013年8月在意大利Piave River的14公顷土地上收集的,分别分析了230种和208种木质元素的人工方法和TLS一种。使用Cyclone 7软件处理TLS数据,并使用两个特定工具提取LW测量值。在实地数据与TLS调查得出的数据之间进行比较时,由此产生的低误差幅度证实了TLS在检测大型木材和果酱方面的能力。发现最大的木材果酱高度偏差是TLS表现出高估的趋势(+ 24.37%)和LW长度有轻微的低估(–19.76%)。考虑到木材体积,TLS和手动方法之间的相对差异在±7%的可忽略误差范围内。可以通过TLS调查获得河流中LW的特征和测量值,但是仍需要在此技术方面取得一些进展,以更好地管理3D点云并更快地提取木材测量值。所提出的方法代表了一种替代工具,可用于在复杂的河流环境中对木材特性进行快速重复的调查,从而确保对木材体积的时空变化进行可靠的量化。

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