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Effect of Terrestrial LiDAR Point Sampling Density in Ephemeral Gully Characterization

机译:地面LiDAR点采样密度对瞬时沟壑特征的影响

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Gully erosion can account for significant volumes of sediment exiting agricultural landscapes, but is difficult to monitor and quantify its evolution with traditional surveying technology. Scientific investigations of gullies depend on accurate and detailed topographic information to understand and evaluate the complex interactions between field topography and gully evolution. Detailed terrain representations can be produced by new technologies such as terrestrial LiDAR systems. These systems are capable of collecting information with a wide range of ground point sampling densities as a result of operator controlled factors. Increasing point density results in richer datasets at a cost of increased time needed to complete field surveys. In large research watersheds, with hundreds of sites being monitored, data collection can become costly and time consuming. In this study, the effect of point sampling density on the capability to collect topographic information was investigated at individual gully scale. This was performed through the utilization of semi-variograms to produce overall guiding principles for multi-temporal gully surveys based on various levels of laser sampling points and relief variation (low, moderate, and high). Results indicated the existence of a point sampling density threshold that produces little or no additional topographic information when exceeded. A reduced dataset was created using the density thresholds and compared to the original dataset with no major discrepancy. Although variations in relief and soil roughness can lead to different point sampling density requirements, the outcome of this study serves as practical guidance for future field surveys of gully evolution and erosion.
机译:沟壑侵蚀可以解释大量离开农业景观的沉积物,但是很难用传统的测量技术监测和量化其演变。沟壑的科学研究依靠准确而详细的地形信息来理解和评估田间地形与沟壑演变之间的复杂相互作用。可以通过新技术(例如地面LiDAR系统)生成详细的地形表示。由于操作员控制因素,这些系统能够以广泛的地面采样密度收集信息。点密度的增加导致数据集更加丰富,但完成现场调查所需的时间却增加了。在大型研究流域中,由于监视着数百个站点,因此数据收集可能变得既昂贵又费时。在这项研究中,点采样密度对单个沟壑尺度上收集地形信息的能力的影响进行了研究。这是通过利用半变异函数来产生的,基于各种级别的激光采样点和起伏变化(低,中和高)为多时沟调查提供总体指导原则。结果表明存在点采样密度阈值,当超过该阈值时,几乎不产生其他地形信息。使用密度阈值创建了缩小的数据集,并将其与原始数据集进行了比较,没有重大差异。尽管起伏和土壤粗糙度的变化会导致不同的点采样密度要求,但这项研究的结果可作为未来对沟壑演变和侵蚀进行实地调查的实用指导。

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