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Quantifying the dynamics of microtopography during a snowmelt event

机译:量化雪花事件中微波术的动态

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摘要

Knowledge of soil microtopography and its changes in space and over time is important to the understanding of how tillage influences infiltration, runoff generation and erosion. In this study, the use of a terrestrial laser scanner (TLS) is assessed for its ability to quantify small changes in the soil surface at high spatial resolutions for a relatively large surface area (100 m(2)). Changes in soil surface morphology during snow cover and melt are driven by frost heave, slaking, pressure exertion by the snowpack and overland flow (erosion and deposition). An attempt is undertaken to link these processes to observed changes at the soil surface. A new algorithm for soil surface roughness is introduced to make optimal use of the raw point cloud. This algorithm is less scale dependent than several commonly used roughness calculations. The results of this study show that TLSs can be used for multitemporal scanning of large surfaces and that small changes in surface elevation and roughness can be detected. Statistical analysis of the observed changes against terrain indices did not yield significant evidence for process differentiation. (c) 2019 The Authors. Earth Surface Processes and Landforms Published by John Wiley & Sons Ltd.
机译:对土壤微检的知识及其空间的变化以及随着时间的推移对耕作如何影响渗透,径流发电和侵蚀的理解是重要的。在该研究中,评估使用陆地激光扫描仪(TLS)的使用,以便其在相对大的表面积(100m(2))的高空间分辨率下量化土壤表面的小变化。雪覆盖和熔体中土壤表面形态的变化由霜冻升降,泥土,覆盖物和陆上流动(腐蚀和沉积)驱动。试图将这些过程链接到观察土壤表面的变化。引入了一种新的土壤表面粗糙度算法,以实现原始点云的最佳利用。该算法依赖于几种常用的粗糙度计算的比例较小。该研究的结果表明,TLS可用于大型表面的多型扫描,并且可以检测到表面高度和粗糙度的小变化。对地形指数的观察变化的统计分析并未产生有关过程分化的显着证据。 (c)2019年作者。 John Wiley&Sons Ltd.出版的地球表面流程和地貌

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