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首页> 外文期刊>Catena: An Interdisciplinary Journal of Soil Science Hydrology-Geomorphology Focusing on Geoecology and Landscape Evolution >Spatiotemporal variations of soil surface roughness from in-situ laser scanning.
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Spatiotemporal variations of soil surface roughness from in-situ laser scanning.

机译：原位激光扫描测定土壤表面粗糙度的时空变化。

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摘要

Microtopography and roughness are highly dynamic properties of the soil surface and important factors governing surface runoff and erosion processes. While various remote sensing technologies were successfully applied for topography measurements at different spatial scales, there is a lack of field studies that collected systematically microtopography data over long observation periods. In this paper an approach to measure and quantify surface roughness in the field based on laser scanning technologies is presented. Between June 2004 and November 2005 97 in-situ measurements were conducted in a test site with two different sandy substrates in vegetation-free conditions. Two-dimensional high-resolution (1 mm) datasets where generated for eight micro erosion plots of 0.25 to 2.9 m2 in size. Dynamics and pattern formation were quantified for surface roughness and surface height changes. Roughness patterns at different scales were analyzed by local roughness indices using sliding windows of 3 to 55 mm in size. Results show strong spatial and temporal dynamics in surface roughness as well as substrate-specific variations. Temporal roughness variations could be detected and were linked to precipitation patterns. The methods presented in this paper are considered suitable to generate high-resolution datasets on spatiotemporal and multi-scale microtopography patterns and to advance the understanding of surface processes at small scales in natural environments.
机译：微观形貌和粗糙度是土壤表面的高度动态特性，是控制表面径流和侵蚀过程的重要因素。尽管各种遥感技术已成功地应用于不同空间尺度的地形测量，但仍缺乏实地研究来长期收集系统的微观地形数据。本文提出了一种基于激光扫描技术在野外测量和量化表面粗糙度的方法。在2004年6月至2005年11月之间，在无植被条件下使用两种不同的沙质底物在测试地点进行了97次现场测量。为八个大小为0.25至2.9 m 2 的微侵蚀图生成了二维高分辨率（1 mm）数据集。对表面粗糙度和表面高度变化的动力学和图案形成进行了量化。使用3至55毫米大小的滑动窗口，通过局部粗糙度指数分析了不同尺度下的粗糙度图案。结果表明，表面粗糙度以及特定于基材的变化具有很强的时空动态。可以检测到时间粗糙度的变化并将其与降水模式联系起来。本文中介绍的方法被认为适合于生成时空和多尺度微地形图模式的高分辨率数据集，并有助于增进对自然环境中小尺度地表过程的理解。

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