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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Monitoring active motion of the Guobu landslide near the Laxiwa Hydropower Station in China by time-series point-like targets offset tracking
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Monitoring active motion of the Guobu landslide near the Laxiwa Hydropower Station in China by time-series point-like targets offset tracking

机译：通过时间序列点目标偏移跟踪监测中国距离距离中国水电站附近的Gubu Landslide的主动运动

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摘要

Since 2009, the Guobu landslide has been very active, posing a safety threat to the Laxiwa Hydropower Station, located only several hundred meters downstream along the upper Yellow River in China. To investigate the current state of this landslide, we analyzed two stacks of X-band TerraSAR-X (TSX) High-resolution Spotlight (HS) mode images acquired from September 2015 to April 2017 in descending orbits with different look angles. A new time-series point-like target offset tracking (TS-PTOT) method is proposed to retrieve time-series surface displacements at point-like targets (PTs) from SAR image pairs properly combined with large temporal baselines and small spatial baselines. According to an evaluation of the standard deviation of time-series displacements at stable points, the TS-PTOT method increased the measurement precision of offset tracking by about 25% over the results using a single master. Our TSX-HS TS-PTOT results manifested a spatial pattern and magnitude of displacements highly similar to DInSAR result produced with an ALOS-2 PALSAR-2 image pair. The maximum displacement rate at the upper part of the slope during the study period was around 80 cm/yr in the line-of-sight (LOS) direction, which is much lower than the displacement rate measured in 2010. Furthermore, three-dimensional (3D) displacements at those identified homologous PTs were estimated by combining two-dimensional (2D) displacements measured by TS-PTOT from the two SAR data stacks. The 3D deformation pattern of the Guobu landslide properly verified its toppling-sliding deformation mechanism.
机译：自2009年以来，Gubu Landslide一直非常活跃，对拉西瓦水电站的安全威胁，位于中国上黄河下游的数百米下游。为了调查这种滑坡的当前状态，我们分析了从2015年9月到2017年9月收购的两堆X波段Terrasar-X（TSX）高分辨率聚光灯（HS）模式图像，以不同的外观的下降轨道。提出了一种新的时序点状目标偏移跟踪（TS-PTOT）方法，以从SAR图像对与大型时间基线和小空间基线正确组合的点状目标（PTS）处的时序序列表面位移。根据稳定点的时序位移的标准偏差的评估，TS-PTOT方法通过单个主机在结果上增加了偏移跟踪的测量精度约25％。我们的TSX-HS TS-PTOT结果表现出高度相似的空间图案和大小与用Alos-2 Palsar-2图像对产生的Dinsar结果。在研究时期坡度上部的最大位移速率在视线（LOS）方向上的80cm / YR约为80cm / YR，远低于2010年测量的位移率。此外，三维（3D）通过从两个SAR数据堆叠中组合TS-PTOT测量的二维（2D）位移来估计所识别的同源PTS的位移。 Gubu Landslide的3D变形图案适当地验证了其倒装滑动变形机制。

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