首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Tracking and evolution of complex active landslides by multi-temporal airborne LiDAR data: The Montaguto landslide (Southern Italy)
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Tracking and evolution of complex active landslides by multi-temporal airborne LiDAR data: The Montaguto landslide (Southern Italy)

机译:利用多时空机载LiDAR数据跟踪和跟踪复杂活动滑坡:蒙塔古托滑坡(意大利南部)

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摘要

A multi-temporal LiDAR study of an active landslide at Montaguto (Italy) is presented. Four LiDAR-derived Digital Terrain Models acquired on May 2006, July 2009, April 2010 and June 2010 are used. The interpretation of selected morphometric parameters (surface roughness, residual topographic surface) and the statistical analysis of the temporal variations of such parameters allowed the reconstruction and tracking of the landslide. The landslide boundary monitoring was achieved and zones of uplift and subsidence, volumes of removed and/or accumulated material, and average rates of vertical and horizontal displacement (retreat rate of the crown and advancement rate of the toe) were estimated. Deformation structures (scarps, cracks, folds) affecting the landslide in different times were also mapped; some of such structures represent precursors of impending instability processes or give information on the mechanism of emplacement. Various types of activity (e.g. rock-fall, flow) and geometry (e.g., channelized flow) are recognized and zones whose topographic features change with time due to artificial drainage and earth handling/removal work were detected. The LiDAR-derived information allows us to decipher the kinematics of the landslide. The results provide new insight on the use of airborne LiDAR in the monitoring strategies of gravity-controlled processes.
机译:本文介绍了蒙塔古托(意大利)发生的活跃滑坡的多时间LiDAR研究。使用了2006年5月,2009年7月,2010年4月和2010年6月购买的四个LiDAR衍生的数字地形模型。对选定的形态参数(表面粗糙度,残留地形表面)的解释以及这些参数随时间变化的统计分析使得滑坡得以重建和跟踪。实现了滑坡边界监测,并估计了隆起和沉降,带走和/或积聚的物质的体积以及垂直和水平位移的平均速率(冠的后退率和脚趾的前进率)。还绘制了在不同时间影响滑坡的变形结构(裂缝,裂缝,褶皱);其中一些结构代表了即将发生的不稳定过程的前兆,或提供了有关进驻机制的信息。识别各种类型的活动(例如,落石,流动)和几何形状(例如,通道化流动),并检测由于人工排水和土方处理/拆除工作而导致地形特征随时间变化的区域。 LiDAR得出的信息使我们能够解读滑坡的运动学。结果为机载LiDAR在重力控制过程的监控策略中的使用提供了新的见解。

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