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Testing the utility of structure from motion photogrammetry reconstructions using small unmanned aerial vehicles and ground photography to estimate the extent of upland soil erosion

机译:利用小型无人机和地面摄影测量运动摄影测量重建结构的效用,估算高地土壤侵蚀程度

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摘要

Quantifying the extent of soil erosion at a fine spatial resolution can be time consuming and costly; however, proximal remote sensing approaches to collect topographic data present an emerging alternative for quantifying soil volumes lost via erosion. Herein we compare terrestrial laser scanning (TLS), and both aerial (UAV) and ground-based (GP) SfM derived topography. We compare the cost-effectiveness and accuracy of both SfM techniques to TLS for erosion gully surveying in upland landscapes, treating TLS as a benchmark. Further, we quantify volumetric soil loss estimates from upland gullies using digital surface models derived by each technique and subtracted from an interpolated pre-erosion surface. Soil loss estimates from UAV and GP SfM reconstructions were comparable to those from TLS, whereby the slopes of the relationship between all three techniques were not significantly different from 1:1 line. Only for the TLS to GP comparison the intercept was significantly different from zero, showing that GP is more capable of measuring the volumes of very small erosion features. In terms of cost-effectiveness in data collection and processing time, both UAV and GP were comparable with the TLS on a per-site basis (13.4 and 8.2 person-hours versus 13.4 for TLS); however GP was less suitable for surveying larger areas (127 person-hours per ha-1 versus 4.5 for UAV and 3.9 for TLS). Annual repeat surveys using GP were capable of detecting mean vertical erosion change on peaty soils. These first published estimates of whole gully erosion rates (0.077 m a-1) suggest that combined erosion rates on gully floors and walls are around three times the value of previous estimates, which largely characterise wind and rainsplash erosion of gully walls.
机译:以精细的空间分辨率量化土壤侵蚀的程度可能既耗时又昂贵。然而,近端遥感方法收集地形数据是量化因侵蚀而损失的土壤量的一种新兴方法。在这里,我们比较了地面激光扫描(TLS),空中(UAV)和地面(GP)SfM派生的地形。我们将两种SfM技术的成本效益和准确性与TLS进行了比较,以进行高地景观侵蚀沟调查,并以TLS为基准。此外,我们使用每种技术得出的,并从插值预侵蚀表面中减去的数字表面模型,对高地沟壑区的土壤流失估算进行量化。 UAV和GP SfM重建的土壤流失估计值与TLS相当,因此这三种技术之间的关系斜率与1:1线没有显着差异。仅对于TLS与GP的比较,截距明显不同于零,这表明GP更能够测量非常小的侵蚀特征的体积。就数据收集和处理时间的成本效益而言,UAV和GP在每个站点上均与TLS相当(TLS为13.4和8.2人时,而TLS为13.4人时);但是,GP不适合用于较大区域的调查(每ha-1为127人时,而无人机为4.5,而TLS为3.9)。使用GP进行的年度重复调查能够检测出豌豆土的平均垂直侵蚀变化。这些首次发表的整体沟壑侵蚀率估算值(0.077 m a-1)表明,沟壑地面和墙壁的综合侵蚀率约为先前估算值的三倍,这在很大程度上是风蚀和雨水冲刷的沟壑侵蚀的特征。

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