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结合星基和地基干涉合成孔径雷达表征大光包地震滑坡的地表变形

Characterizing Surface Deformation of the Earthquake-Induced Daguangbao Landslide by Combining Satellite- and Ground-Based InSAR.

作者信息

Wang Xiaomeng, Zhang Wenjun, Cai Jialun, Wang Xiaowen, Wu Zhouhang, Fan Jing, Yao Yitong, Deng Binlin

机构信息

School of Environment and Resources, Southwest University of Science and Technology, Mianyang 621010, China.

Mianyang Science and Technology City Division, The National Remote Sensing Center of China, Mianyang 621010, China.

出版信息

Sensors (Basel). 2024 Dec 26;25(1):66. doi: 10.3390/s25010066.

Abstract

The Daguangbao landslide (DGBL), triggered by the 2008 Wenchuan earthquake, is a rare instance of super-giant landslides globally. The post-earthquake evolution of the DGBL has garnered significant attention in recent years; however, its deformation patterns remain poorly characterized owing to the complex local topography. In this study, we present the first observations of the surface dynamics of DGBL by integrating satellite- and ground-based InSAR data complemented by kinematic interpretation using a LiDAR-derived Digital Surface Model (DSM). The results indicate that the maximum line-of-sight (LOS) displacement velocity obtained from satellite InSAR is approximately 80.9 mm/year between 1 January 2021, and 30 December 2023, with downslope displacement velocities ranging from -60.5 mm/year to 69.5 mm/year. Ground-based SAR (GB-SAR) enhances satellite observations by detecting localized apparent deformation at the rear edge of the landslide, with LOS displacement velocities reaching up to 1.5 mm/h. Our analysis suggests that steep and rugged terrain, combined with fragile and densely jointed lithology, are the primary factors contributing to the ongoing deformation of the landslide. The findings of this study demonstrate the effectiveness of combining satellite- and ground-based InSAR systems, highlighting their complementary role in interpreting complex landslide deformations.

摘要

由2008年汶川地震引发的大光包滑坡(DGBL)是全球罕见的超巨型滑坡实例。近年来,大光包滑坡的震后演化受到了广泛关注;然而,由于当地地形复杂,其变形模式仍缺乏清晰的特征描述。在本研究中,我们通过整合卫星和地基干涉合成孔径雷达(InSAR)数据,并利用激光雷达衍生的数字表面模型(DSM)进行运动学解释,首次对大光包滑坡的地表动力学进行了观测。结果表明,2021年1月1日至2023年12月31日期间,卫星InSAR获得的最大视线(LOS)位移速度约为80.9毫米/年,下坡位移速度范围为-60.5毫米/年至69.5毫米/年。地基合成孔径雷达(GB-SAR)通过检测滑坡后缘的局部明显变形,增强了卫星观测效果,其LOS位移速度高达1.5毫米/小时。我们的分析表明,陡峭崎岖的地形,加上脆弱且节理密集的岩性,是导致滑坡持续变形的主要因素。本研究结果证明了结合卫星和地基InSAR系统的有效性,突出了它们在解释复杂滑坡变形中的互补作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57d5/11722685/b60e53de8fda/sensors-25-00066-g001.jpg

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