Remke Alexander André, Rodrigo-Comino Jesus, Wirtz Stefan, Ries Johannes B
Department of Physical Geography, University of Trier, 54286 Trier, Germany.
Dienstleistungszentrum Ländlicher Raum Mosel, 54770 Bernkastel-Kues, Germany.
Sensors (Basel). 2020 Nov 2;20(21):6254. doi: 10.3390/s20216254.
The Terrestrial Photogrammetry Scanner (TEPHOS) offers the possibility to precisely monitor linear erosion features using the Structure from Motion (SfM) technique. This is a static, multi-camera array and dynamically moves the digital videoframe camera designed to obtain 3-D models of rills before and after the runoff experiments. The main goals were to (1) obtain better insight into the rills; (2) reduce the technical gaps generated during the runoff experiments using only one camera; (3) enable the visual location of eroded, transported and accumulated material. In this study, we obtained a mean error for all pictures reaching up to 0.00433 pixels and every single one of them was under 0.15 pixel. So, we obtained an error of about 1/10th of the maximum possible resolution. A conservative value for the overall accuracy was one pixel, which means that, in our case, the accuracy was 0.0625 mm. The point density, in our example, reached 29,484,888 pts/m². It became possible to get a glimpse of the hotspots of sidewall failure and rill-bed incision. We conclude that the combination of both approaches-rill experiment and 3D models-will make easy under laboratory conditions to describe the soil erosion processes accurately in a mathematical-physical way.
地面摄影测量扫描仪(TEPHOS)提供了使用运动结构(SfM)技术精确监测线性侵蚀特征的可能性。这是一个静态的多相机阵列,能够动态移动数字视频帧相机,旨在获取径流实验前后细沟的三维模型。主要目标是:(1)更好地了解细沟;(2)减少仅使用一台相机进行径流实验时产生的技术差距;(3)实现对侵蚀、搬运和堆积物质的可视化定位。在本研究中,我们获得的所有图片的平均误差高达0.00433像素,且每张图片的误差均低于0.15像素。因此,我们获得的误差约为最大可能分辨率的十分之一。整体精度的保守值为一个像素,这意味着在我们的案例中,精度为0.0625毫米。在我们的示例中,点密度达到29,484,888点/平方米。从而得以瞥见侧壁崩塌和细沟床侵蚀的热点区域。我们得出结论,细沟实验和三维模型这两种方法的结合,将使得在实验室条件下以数学物理方式准确描述土壤侵蚀过程变得容易。