A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series
A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series
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DOI：
10.1007/s10346-022-01913-8
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发表时间：
2022-06
期刊：
影响因子：
6.7
通讯作者：
Alexandra Urgilez Vinueza;A. Handwerger;M. Bakker;T. Bogaard
中科院分区：
文献类型：
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作者：
Alexandra Urgilez Vinueza;A. Handwerger;M. Bakker;T. Bogaard
缓慢移动的滑坡以mm年-1到m年-1的速度向坡下移动。这种变形可以使用基于卫星的合成孔径雷达干涉测量法（干涉合成孔径雷达）进行测量。提出了一种利用干涉合成孔径雷达位移时间序列系统地检测和量化缓慢变形区域加速度和减速度的新方法。使用异常值检测器对位移时间序列进行滤波，随后拟合分段线性函数以识别位移速率的变化（即，加速或减速）。分组的加速和减速作为潜在不稳定区域的指示器被编目。我们使用来自美国加利福尼亚州Mud Creek滑坡的高质量数据集测试和改进了我们的新方法。我们的方法检测到的加速度和减速，与以前检测到的手动检查。其次，我们在厄瓜多尔东南部的Mazar大坝和水库周围地区测试了我们的方法，那里的时间序列数据质量相当低。我们检测到的加速和减速发生在整个研究期间附近和上坡的水库。应用我们的方法的结果在丰富的信息的动态的表面位移的山坡，并提供了一个客观的方式来确定位移率的变化。位移率，它们的空间变化，以及加速和减速的时间可以用来研究一个缓慢移动的斜坡的物理行为或区域灾害评估通过链接的位移率的变化的时间滑坡的原因和触发因素。
Slow-moving landslides move downslope at velocities that range from mm year−1to m year−1. Such deformations can be measured using satellite-based synthetic aperture radar interferometry (InSAR). We developed a new method to systematically detect and quantify accelerations and decelerations of slowly deforming areas using InSAR displacement time series. The displacement time series are filtered using an outlier detector and subsequently piecewise linear functions are fitted to identify changes in the displacement rate (i.e., accelerations or decelerations). Grouped accelerations and decelerations are inventoried as indicators of potential unstable areas. We tested and refined our new method using a high-quality dataset from the Mud Creek landslide, CA, USA. Our method detects accelerations and decelerations that coincide with those previously detected by manual examination. Second, we tested our method in the region around the Mazar dam and reservoir in Southeast Ecuador, where the time series data were of considerably lower quality. We detected accelerations and decelerations occurring during the entire study period near and upslope of the reservoir. Application of our method results in a wealth of information on the dynamics of the surface displacement of hillslopes and provides an objective way to identify changes in displacement rates. The displacement rates, their spatial variation, and the timing of accelerations and decelerations can be used to study the physical behavior of a slow-moving slope or for regional hazard assessment by linking the timing of changes in displacement rates to landslide causal and triggering factors.