INTEGRATED PROCESSING OF HIGH RESOLUTION TOPOGRAPHIC DATA FOR SOIL EROSION ASSESSMENT CONSIDERING DATA ACQUISITION SCHEMES AND SURFACE PROPERTIES
INTEGRATED PROCESSING OF HIGH RESOLUTION TOPOGRAPHIC DATA FOR SOIL EROSION ASSESSMENT CONSIDERING DATA ACQUISITION SCHEMES AND SURFACE PROPERTIES
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DOI：
10.5194/isprs-archives-xli-b5-813-2016
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发表时间：
2016-06
期刊：
影响因子：
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通讯作者：
A. Eltner;D. Schneider;H. Maas
中科院分区：
文献类型：
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作者：
A. Eltner;D. Schneider;H. Maas
土壤侵蚀是影响耕地肥力的决定性地表过程。有几种方法可以检测大面积地块（这里是600平方米）的土壤侵蚀，根据所采用的方法，这些方法有不同的优缺点。在这项研究中，无人机（UAV）摄影测量和地面激光扫描（TLS）的好处被用来量化土壤表面的变化。在数据融合的基础上，将TLS数据与无人机摄影测量生成的DEM进行配准。TLS数据用于检测从UAV图像计算的DEM中的全局和局部误差。此外，TLS数据被认为是植被过滤。无人机摄影测量的DEM可用于检测系统TLS误差，并进一步过滤平缓山坡上不利扫描几何形状（即入射角和足迹）的TLS点云。此外，表面粗糙度被集成为一个重要的参数，以评估TLS点的可靠性，因为增加的足迹，从而与扫描设备的距离增加的信号反射面积。开发的融合工具允许从每个数据源的可靠数据点的估计，考虑到数据采集的几何形状和表面特性，最终合并成一个单一的土壤表面模型的两个数据集。数据融合进行了三个不同的领域运动在地中海领域的阴谋。连续的DEM评价揭示了土壤表面粗糙度的不断降低，再现了以前的车轮痕迹和当地土壤颗粒的迁移模式。
Soil erosion is a decisive earth surface process strongly influencing the fertility of arable land. Several options exist to detect soil erosion at the scale of large field plots (here 600 m²), which comprise different advantages and disadvantages depending on the applied method. In this study, the benefits of unmanned aerial vehicle (UAV) photogrammetry and terrestrial laser scanning (TLS) are exploited to quantify soil surface changes. Beforehand data combination, TLS data is co-registered to the DEMs generated with UAV photogrammetry. TLS data is used to detect global as well as local errors in the DEMs calculated from UAV images. Additionally, TLS data is considered for vegetation filtering. Complimentary, DEMs from UAV photogrammetry are utilised to detect systematic TLS errors and to further filter TLS point clouds in regard to unfavourable scan geometry (i.e. incidence angle and footprint) on gentle hillslopes. In addition, surface roughness is integrated as an important parameter to evaluate TLS point reliability because of the increasing footprints and thus area of signal reflection with increasing distance to the scanning device. The developed fusion tool allows for the estimation of reliable data points from each data source, considering the data acquisition geometry and surface properties, to finally merge both data sets into a single soil surface model. Data fusion is performed for three different field campaigns at a Mediterranean field plot. Successive DEM evaluation reveals continuous decrease of soil surface roughness, reappearance of former wheel tracks and local soil particle relocation patterns.