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
中科院分区:
文献类型:
--
作者:
Meng Qingkai;Li Weile;Raspini Federico;Xu Qiang;Peng Ying;Ju Yuanzhen;Zheng Yueze;Casagli Nicola
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.
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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
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
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