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Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring

机译:混合SAR技术:基于相位和幅度的联合分析用于西山村巨滑坡监测

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Early detection and early warning are of great importance in giant landslide monitoring because of the unexpectedness and concealed nature of large-scale landslides. In China, the western mountainous areas are prone to landslides and feature many giant complex landslides, especially following the Wenchuan Earthquake in 2008. This work concentrates on a new technique, known as the “hybrid-SAR technique”, that combines both phase-based and amplitude-based methods to detect and monitor large-scale landslides in Li County, Sichuan Province, southwestern China. This work aims to develop a robust methodological approach to promptly identify diverse landslides with different deformation magnitudes, sliding modes and slope geometries, even when the available satellite data are limited. The phase-based and amplitude-based techniques are used to obtain the landslide displacements from six TerraSAR-X Stripmap descending scenes acquired from November 2014 to March 2015. Furthermore, the application circumstances and influence factors of hybrid-SAR are evaluated according to four aspects: (1) quality of terrain visibility to the radar sensor; (2) landslide deformation magnitude and different sliding mode; (3) impact of dense vegetation cover; and (4) sliding direction sensitivity. The results achieved from hybrid-SAR are consistent with in situ measurements. This new hybrid-SAR technique for complex giant landslide research successfully identified representative movement areas, e.g., an extremely slow earthflow and a creeping region with a displacement rate of 1 cm per month and a typical rotational slide with a displacement rate of 2–3 cm per month downwards and towards the riverbank. Hybrid-SAR allows for a comprehensive and preliminary identification of areas with significant movement and provides reliable data support for the forecasting and monitoring of landslides.
机译:由于大规模滑坡的意外性和隐蔽性,早期发现和预警在巨型滑坡监测中非常重要。在中国,西部山区容易发生滑坡,并具有许多巨大的复杂滑坡,尤其是在2008年汶川地震之后。这项工作集中于一种新技术,称为“混合SAR技术”,该技术结合了基于相位的和振幅的方法来检测和监测中国西南地区四川省黎县的大规模滑坡。这项工作旨在开发一种可靠的方法论方法,即使在可用卫星数据有限的情况下,也能迅速识别出具有不同变形幅度,滑动模式和坡度几何形状的各种滑坡。基于相位和基于振幅的技术,从2014年11月至2015年3月采集的六个TerraSAR-X Stripmap下降场景中获得滑坡位移。此外,还从四个方面评估了混合SAR的应用环境和影响因素。 :(1)地形对雷达传感器的能见度; (2)滑坡变形幅度和滑移方式不同; (3)茂密植被覆盖的影响; (4)滑动方向灵敏度。从混合SAR获得的结果与原位测量一致。这项用于复杂巨型滑坡研究的新混合SAR技术成功地确定了代表性的运动区域,例如,极慢的泥石流和一个蠕动区域,位移速率为每月1 cm,典型的旋转滑坡的位移速率为2-3 cm每月向下并向河岸。混合SAR可以全面,初步地识别活动剧烈的区域,并为滑坡的预测和监测提供可靠的数据支持。

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