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TIME-SERIES INSAR ANALYSIS OF CASCADE LANDSLIDE COMPLEX, WASHINGTON, USA

机译:级联山坡山坡复杂的时间系列insar分析,美国华盛顿州

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Detection of slow landslide movement in forested terrains has long been problematic, particularly for Cascade landslide complex in Washington, USA. Although parts of the landslide have been found reactivated, the timing and magnitude of landslide motions have not been systematically monitored. Here we apply time-series interferometric synthetic aperture radar (InSAR) strategies to map the landslide movement using two overlapping L-band ALOS-1 PALSAR-1 tracks. Our results show that the reactivated part of the landslide moved ~700 mm downslope between 2007 and 2011. The seasonal oscillations are correlated with precipitation records, suggesting the landslide motions are hydrologically driven. The temporal frequency of landslide motions is similar to that of GPS-derived regional ground oscillations but the former has much larger magnitude, suggesting stronger hydrological loading effects. Analysis of time-series radar amplitude on the headscarp allows us to re-evaluate the incipient motion of 2008 Greenleaf Basin rock avalanche.
机译:在森林地形缓慢滑坡运动的检测一直是有问题的,特别是在美国华盛顿州级联滑坡复杂。尽管已经发现了旧滑坡的部分重新激活,但山滑坡运动的时序和幅度尚未得到系统监测。在这里,我们应用时间序列干涉性合成孔径雷达(Insar)策略,以使用两个重叠的L波段射门映射滑坡运动。我们的结果表明,2007年至2011年间滑坡的重新激活部分移动了〜700毫米坡。季节性振荡与降水记录相关,表明滑坡动作是水文驱动的。滑坡运动的时间频率与GPS衍生的区域地面振荡相似,但前者具有更大的幅度,表明水文载入效果更强。对头巾上的时间序列雷达幅度分析使我们能够重新评估2008年Greenleaf盆地岩石雪崩的初期运动。

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