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Potential loess landslide deformation monitoring using L-band SAR interferometry

机译:利用L波段SAR干涉仪监测潜在的黄土滑坡变形

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Multi-temporal InSAR technique can implement continuous earth surface deformation detection with long time scale and wide geographical coverage. In this paper, we first employ the Small Baseline Subset method to survey potential landslides in Guide County, Qinghai Province, which is identified as a loess landslide prone area for geological and climate conditions. Two anomalous deformation regions are detected by L-band Phased Array and L-band Synthetic Aperture Radar stacks. Then, qualitative and quantitative evaluations of the measuring points are given for understanding the distribution regularity of deformation. Finally, preliminary correlation between the time-series deformation and triggering factors is analyzed to explore the driving mechanism for landslide movement. The results demonstrate that L-band SAR has high potential in landslide monitoring applications and can be used as the basis for landslide recognizing, precursory information extracting, and early warning.
机译:多时相InSAR技术可以实现连续的地表变形检测,具有较长的时间尺度和广阔的地理覆盖范围。在本文中,我们首先采用小基线子集法对青海省指南县的潜在滑坡进行了调查,该县被确定为黄土滑坡易发地区,具有地质和气候条件。 L波段相控阵和L波段合成孔径雷达堆栈检测到两个异常变形区域。然后,对测量点进行定性和定量评估,以了解变形的分布规律。最后,分析了时间序列变形与触发因素之间的初步相关性,以探索滑坡运动的驱动机制。结果表明,L波段SAR在滑坡监测应用中具有很高的潜力,可作为滑坡识别,前兆信息提取和预警的基础。

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