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Applying Terrestrial Laser Scanning for Soil Surface Roughness Assessment

机译:应用地面激光扫描评估土壤表面粗糙度

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摘要

Terrestrial laser scanning can provide high-resolution, two-dimensional sampling of soil surface roughness. While previous studies demonstrated the usefulness of these roughness measurements in geophysical applications, questions about the number of required scans and their resolution were not investigated thoroughly. Here, we suggest a method to generate digital elevation models, while preserving the surface’s stochastic properties at high frequencies and additionally providing an estimate of their spatial resolution. We also study the impact of the number and positions of scans on roughness indices’ estimates. An experiment over a smooth and isotropic soil plot accompanies the analysis, where scanning results are compared to results from active triangulation. The roughness measurement conditions for ideal sampling are revisited and updated for diffraction-limited sampling valid for close-range laser scanning over smooth and isotropic soil roughness. Our results show that terrestrial laser scanning can be readily used for roughness assessment on scales larger than 5 cm, while for smaller scales, special processing is required to mitigate the effect of the laser beam footprint. Interestingly, classical roughness parametrization (correlation length, root mean square height (RMSh)) was not sensitive to these effects. Furthermore, comparing the classical roughness parametrization between one- and four-scan setups shows that the one-scan data can replace the four-scan setup with a relative loss of accuracy below 1% for ranges up to 3 m and incidence angles no larger than 50°, while two opposite scans can replace it over the whole plot. The incidence angle limit for the spectral slope is even stronger and is 40°. These findings are valid for scanning over smooth and isotropic soil roughness.
机译:地面激光扫描可以对土壤表面粗糙度进行高分辨率的二维采样。虽然先前的研究证明了这些粗糙度测量在地球物理应用中的有用性,但有关所需扫描次数及其分辨率的问题尚未得到彻底调查。在这里,我们建议一种生成数字高程模型的方法,同时保留高频下的表面随机特性,并提供其空间分辨率的估计值。我们还研究了扫描次数和位置对粗糙度指数估计值的影响。分析同时进行了一个光滑且各向同性的土壤样地实验,将扫描结果与主动三角测量的结果进行了比较。重新讨论了理想采样的粗糙度测量条件,并更新了衍射极限采样,适用于在光滑和各向同性的土壤粗糙度上进行近距离激光扫描。我们的结果表明,地面激光扫描可轻松用于大于5 cm的标尺的粗糙度评估,而对于较小的标尺,需要特殊处理以减轻激光束足迹的影响。有趣的是,经典粗糙度参数化(相关长度,均方根高度(RMSh))对这些影响不敏感。此外,通过比较一扫描和四扫描设置之间的经典粗糙度参数化,可以看出,一扫描数据可以替代四扫描设置,其相对损失的准确度低于1%(范围高达3 m,入射角不大于3 m)。 50°,而两次相反的扫描可以将其替换为整个图。光谱斜率的入射角极限甚至更强,为40°。这些发现对于扫描光滑和各向同性的土壤粗糙度是有效的。

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