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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 >Monitoring sediment source areas in a debris-flow catchment using terrestrial laser scanning
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Monitoring sediment source areas in a debris-flow catchment using terrestrial laser scanning

机译:使用地面激光扫描监测泥石流汇流区的泥沙源区域

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Geomorphic changes caused by three, debris-flow events in a small mountain catchment (Moscardo Torrent, Eastern Italian Alps) were investigated by means of multitemporal terrestrial laser scanning (TLS) surveys over three areas exposed to debris-flow dynamics. For these areas, DEM of Differences (DoDs) with a 02 m spatial resolution allowed the assessment of elevation uncertainty as spatially variable by applying the fuzzy inference system (FIS) proposed by Wheaton et al. (2010). Along with two commonly used parameters affecting Digital Elevation Model (DEM) accuracy, such as terrain slope and point density, we developed and employed in the FIS a new index, named Vegetation Noise, that takes into account the disturbance caused by the vegetation cover on the DEM accuracy. The results of volumetric budgets of the surveyed sediment source areas derived from the DoD analysis were compared with debris-flow volumes estimated from flow stage measurements at the instrumented channel reach. On the one hand, the discrepancies arising from this comparison underline the limitations of TB surveys over morphologically complex areas such as debris-flow catchments. On the other hand, the TLS unveils the geomorphic changes at the scale of the single event, because a terrestrial survey is usually easier to carry out than an aerial one. The analysis of DEM quality and uncertainty indexes correlation may help to refine methods for spatializing elevation errors and improving the reliability of the models
机译:通过多时相地面激光扫描(TLS)调查,在三个暴露于泥石流动态的区域上调查了一个山区流域(Moscardo Torrent,意大利东部阿尔卑斯山)中由三个泥石流事件引起的地貌变化。对于这些区域,通过使用Wheaton等人提出的模糊推理系统(FIS),空间分辨率为02 m的DEM差异(DoD)可以将高程不确定性评估为空间变量。 (2010)。连同影响数字高程模型(DEM)精度的两个常用参数(例如地形坡度和点密度),我们开发并在FIS中采用了一个新的指标,称为植被噪声,该指标考虑了植被覆盖对植被造成的干扰。 DEM精度。将来自DoD分析得出的被调查沉积物源区域的体积预算结果与根据仪器通道到达处的水位测量估算出的泥石流体积进行了比较。一方面,这种比较产生的差异突显了结核病调查在形态复杂区域(如泥石流集水区)的局限性。另一方面,TLS揭示了单个事件规模的地貌变化,这是因为通常比空中调查更容易进行地面调查。 DEM质量和不确定性指标相关性的分析可以帮助完善空间误差和提高模型可靠性的方法

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