Time-series analysis of the evolution of large-scale loess landslides using InSAR and UAV photogrammetry techniques: a case study in Hongheyan, Gansu Province, Northwest China

Time-series analysis of the evolution of large-scale loess landslides using InSAR and UAV photogrammetry techniques: a case study in Hongheyan, Gansu Province, Northwest China
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利用InSAR和无人机摄影测量技术对大规模黄土滑坡演化过程进行时间序列分析——以甘肃红河岩为例

DOI:
10.1007/s10346-020-01490-8
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发表时间:
2020-08
期刊:
影响因子:
6.7
通讯作者:
Casagli Nicola
Casagli Nicola
中科院分区:
地球科学2区
文献类型:
--
作者:
Meng Qingkai;Li Weile;Raspini Federico;Xu Qiang;Peng Ying;Ju Yuanzhen;Zheng Yueze;Casagli Nicola

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黄土滑坡是黄土高原地区严重的工程地质问题。利用干涉合成孔径雷达(干涉合成孔径雷达)和无人机(UAV)摄影测量技术,对西北地区一次大型黄土滑坡变形过程进行了模拟。首先,使用2015年3月至2019年3月期间采集的85张Sentinel-1 SAR图像来检测空间位移,并分析从滑动前到滑动后的变形模式。第二,进行了三次无人机飞行调查,以重建滑坡形态,识别陡坎、裂缝和裂隙;并产生高程差。通过比较这两种技术,我们发现干涉合成孔径雷达在蠕动变形的反演上更有优势,而无人机数据在探测大型突发性滑坡方面更有价值。在综合分析的基础上,生成了黄土滑坡动态变形分区图,并推断了该滑坡的变形模式。洪河岩滑坡是由强降雨诱发的,受地形影响逐渐停止。最近,斜坡西部呈现明显的加速趋势。这种演变为地方政府进一步加强观测或采取有效预防措施提供了全面的运动学信息。
Loess landslides are a severe engineering geological problem on the Loess Plateau of China. This study relies on interferometric synthetic aperture radar (InSAR) and unmanned aerial vehicle (UAV) photogrammetry techniques to characterise a large-scale loess landslide deformation process in Northwest China. First, a total of 85 Sentinel-1 SAR images acquired from March 2015 to March 2019 were used to detect the spatial displacement and characterise the pattern of deformation from presliding to postsliding. Second, three UAV flight surveys were conducted to reconstruct landslide morphology, identify scarps, cracks and fissures; and generate elevation differences. By comparing these two technologies, we found that InSAR has more advantages in the retrieval of creeping deformation, while UAV data is valuable for detecting large sudden slides. Dynamic deformation zonation maps were generated based on comprehensive analysis, and the deformation pattern of the large loess landslide was deduced. The Hongheyan landslide was induced by heavy rainfall and then gradually became suspended owing to the topography effect. Recently, the western part of the slope showed a clear accelerating trend. This evolution provides comprehensive kinematic information for local governments to make further intensive observations or take effective precautions.
DOI: 10.3390/rs70201736
发表时间: 2015-02
期刊: Remote. Sens.
影响因子: --
作者:
D. Turner;A. Lucieer;S. M. Jong
通讯作者: D. Turner;A. Lucieer;S. M. Jong
DOI: 10.1007/s00531-015-1144-8
发表时间: 2015-01
影响因子: 2.3
作者:
G. Wiemer;J. Moernaut;N. Stark;P. Kempf;M. Batist;Mario Pino;R. Urrutia;Bruno Ladrón de Guevara;M. Strasser;A. Kopf
通讯作者: G. Wiemer;J. Moernaut;N. Stark;P. Kempf;M. Batist;Mario Pino;R. Urrutia;Bruno Ladrón de Guevara;M. Strasser;A. Kopf
DOI: 10.1177/0309133313515293
发表时间: 2014-02-01
影响因子: 3.9
作者:
Lucieer, Arko;de Jong, Steven M.;Turner, Darren
通讯作者: Turner, Darren
DOI: --
发表时间: 2005-09
期刊: --
影响因子: --
作者:
E. Keller;D. DeVecchio;R. Blodgett
通讯作者: E. Keller;D. DeVecchio;R. Blodgett
DOI: 10.1007/s10346-016-0723-5
发表时间: 2017-04
期刊: Landslides
影响因子: 6.7
作者:
R. M. Mateos;J. Azañón;Francisco J. Roldán;D. Notti;V. Pérez-Peña;J. Galve;José Luis Pérez-García;Carlos Colomo;J. M. Gómez-López;Oriol Montserrat;Nùria Devantèry;Francisco Lamas-Fernández;Francisca Fernández-Chacón
通讯作者: R. M. Mateos;J. Azañón;Francisco J. Roldán;D. Notti;V. Pérez-Peña;J. Galve;José Luis Pérez-García;Carlos Colomo;J. M. Gómez-López;Oriol Montserrat;Nùria Devantèry;Francisco Lamas-Fernández;Francisca Fernández-Chacón