Citation: | ZHAO Chaoying, LIU Xiaojie, ZHANG Qin, PENG Jianbing, XU Qiang. Research on Loess Landslide Identification, Monitoring and Failure Mode with InSAR Technique in Heifangtai, Gansu[J]. Geomatics and Information Science of Wuhan University, 2019, 44(7): 996-1007. DOI: 10.13203/j.whugis20190072 |
[1] |
Lin Q, Wang Y.Spatial and Temporal Analysis of a Fatal Landslide Inventory in China from 1950 to 2016 [J]. Landslides, 2018, 15(12): 2 357-2 372 doi: 10.1007/s10346-018-1037-6
|
[2] |
Shi X, Liao M, Li M, et al. Wide-Area Landslide Deformation Mapping with Multi-path ALOS PALSAR Data Stacks: A Case Study of Three Gorges Area, China [J]. Remote Sensing, 2016, 8(2):136 doi: 10.3390/rs8020136
|
[3] |
Sun L, Muller J P, Chen J. Time Series Analysis of Very Slow Landslides in the Three Gorges Region Through Small Baseline SAR Offset Tracking [J]. Remote Sensing, 2017, 9(12): 1 314 doi: 10.3390/rs9121314
|
[4] |
敖萌, 张勤, 赵超英, 等.改正的CR-InSAR技术用于四川甲居滑坡形变监测[J].武汉大学学报·信息科学版, 2017, 42(3):377-383 http://ch.whu.edu.cn/CN/abstract/abstract5689.shtml
Ao Meng, Zhang Qin, Zhao Chaoying, et al. An Improved CR-InSAR Technology Used for Deformation Monitoring in Jiaju Landslide, Sichuan [J]. Geomatics and Information Science of Wuhan University, 2017, 42(3): 377-383 http://ch.whu.edu.cn/CN/abstract/abstract5689.shtml
|
[5] |
张路, 廖明生, 董杰, 等.基于时间序列InSAR分析的西部山区滑坡灾害隐患早期识别——以四川丹巴为例[J].武汉大学学报·信息科学版, 2018, 43(12):2 039-2 049 http://ch.whu.edu.cn/CN/abstract/abstract6288.shtml
Zhang Lu, Liao Mingsheng, Dong Jie, et al. Early Detection of Landslide Hazards in Mountainous Areas of West China Using Time Series SAR Interferometry—A Case Study of Danba, Sichuan [J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2 039-2 049 http://ch.whu.edu.cn/CN/abstract/abstract6288.shtml
|
[6] |
Zhao C, Kang Y, Zhang Q, et al. Landslide Identification and Monitoring Along the Jinsha River Catchment(Wudongde Reservoir Area), China, Using the InSAR Method [J]. Remote Sensing, 2018, 10(7): 993 doi: 10.3390/rs10070993
|
[7] |
Zhao C, Zhang Q, He Y, et al. Small-Scale Loess Landslide Monitoring with Small Baseline Subsets Interferometric Synthetic Aperture Radar Technique—Case Study of Xinyuan Landslide, Shaanxi, China [J]. J Appl Remote Sens, 2016, 10(2): 1-14 https://www.researchgate.net/publication/303852031_Small-scale_loess_landslide_monitoring_with_small_baseline_subsets_interferometric_synthetic_aperture_radar_technique-case_study_of_Xingyuan_landslide_Shaanxi_China
|
[8] |
Li M, Zhang L, Shi X, et al. Monitoring Active Motion of the Guobu Landslide Near the Laxiwa Hydropower Station in China by Time-Series Point-Like Targets Offset Tracking [J]. Remote Sensing of Environment, 2019, 221: 80-93 doi: 10.1016/j.rse.2018.11.006
|
[9] |
Zeng R, Meng X, Zhang F, et al. Characterizing Hydrological Processes on Loess Slopes Using Electrical Resistivity Tomography—A Case Study of the Heifangtai Terrace, Northwest China [J]. Journal of Hydrology, 2016, 541: 742-753 doi: 10.1016/j.jhydrol.2016.07.033
|
[10] |
Cui S, Pei X, Wu H, et al. Centrifuge Model Test of an Irrigation-Induced Loess Landslide in the Heifangtai Loess Platform, Northwest China [J]. Journal of Mountain Science, 2018, 15(1): 130-143 doi: 10.1007/s11629-017-4490-0
|
[11] |
Peng D, Xu Q, Liu F, et al. Distribution and Failure Modes of the Landslides in Heitai Terrace, China [J]. Engineering Geology, 2017, 236: 97-110 https://www.researchgate.net/publication/319948885_Distribution_and_failure_modes_of_the_landslides_in_Heitai_terrace_China
|
[12] |
Xu L, Dai F, Tu X, et al. Landslides in a Loess Platform, North-West China [J]. Landslides, 2014, 11(6): 993-1 005 doi: 10.1007/s10346-013-0445-x
|
[13] |
Xu L, Dai F, Gong Q, et al. Irrigation-Induced Loess Flow Failure in Heifangtai Platform, North-West [J]. Environmental Earth Sciences, 2012, 66(6): 1 707-1 713 doi: 10.1007/s12665-011-0950-y
|
[14] |
Xu L, Qiao X, Wu C, et al. Causes of Landslide Recurrence in a Loess Platform with Respect to Hydrological Processes [J]. Natural Hazards, 2012, 64(2): 1 657-1 670 doi: 10.1007/s11069-012-0326-y
|
[15] |
Lyons S, Sandwell D. Fault Creep Along the Southern San Andreas from Interferometric Synthetic Aperture Radar, Permanent Scatterers, and Stacking [J]. J Geophys Res Solid Earth, 2003, 108(B1): 2 047 doi: 10.1029-2002JB001831/
|
[16] |
Berardino P, Fornaro G, Lanari R, et al. A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms [J]. IEEE Trans Geosci Remote Sens, 2002, 40(11): 2 375-2 383 doi: 10.1109/TGRS.2002.803792
|
[17] |
Ferretti A, Prati C, Rocca F. Permanent Scatterers in SAR Interferometry [J]. IEEE Trans Geosci Remote Sens, 2001, 39(1): 8-20 doi: 10.1109/36.898661
|
[18] |
Samsonov S, d'Oreye N, Smets B. Ground Deformation Associated with Post-mining Activity at the French-German Border Revealed by Novel InSAR Time Series Method [J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 23(1): 142-154 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=2e4a6a65b387c2b4dde5976663d7f27f
|
[19] |
Samsonov S, Feng W, Peltier A, et al. Multidimensional Small Baseline Subset(MSBAS) for Volcano Monitoring in Two Dimensions: Opportunities and Challenges. Case Study Piton de la Fournaise Volcano [J]. Journal of Volcanology and Geothermal Research, 2017, 344: 121-138 doi: 10.1016/j.jvolgeores.2017.04.017
|
[20] |
Xu Q, Li H, He Y, et al. Comparison of Data-Driven Models of Loess Landslide Runout Distance Estimation [J]. Bull Eng Geol Environ, 2017, 8: 1-14 https://www.researchgate.net/publication/320846968_Comparison_of_data-driven_models_of_loess_landslide_runout_distance_estimation
|
[21] |
Qi X, Xu Q, Liu F. Analysis of Retrogressive Loess Flowslides in Heifangtai, China [J]. Engineering Geology, 2018, 236: 119-128 doi: 10.1016/j.enggeo.2017.08.028
|
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