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- 2018
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
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Abstract:
滑坡是仅次于地震、发生最频繁、造成损失最严重的一种地质灾害，中国西部山区则是世界上滑坡灾害分布最密集的地区之一。广域范围内滑坡灾害隐患的早期识别是地质灾害防治工作中的一项关键任务，基于星载合成孔径雷达重复轨道观测的时间序列雷达干涉测量（interferometric synthetic aperture radar，InSAR）技术在此领域具有巨大的应用潜力，但以永久散射体干涉测量为代表的传统时序InSAR方法在西部山区应用中往往受到植被覆盖等不利因素的影响，滑坡探测识别的可靠性较差。针对这一问题，以大渡河上游丹巴县为例，采用自主研发的相干散射体时序InSAR（coherent scatterer InSAR，CSI）方法，从历史存档的ALOS PALSAR和ENVISAT ASAR数据集中成功识别出了17处持续变形中的不稳定坡体，通过与外部观测数据比对和实地调查核实等手段验证了CSI方法探测结果的有效性和优势，并探讨了影响时序InSAR方法滑坡监测应用效果的主要因素及未来的优先研究方向
| [1] | Fornaro G, Verde S, Reale D, et al. CAESAR:An Approach Based on Covariance Matrix Decomposition to Improve Multibaseline-Multitemporal Interferometric SAR Processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4):2050-2065 |
| [2] | Li Minghui, Zheng Wanmo, Chen Qiguo. Development Characteristic of Geological Hazard in Danba County and Its Cause Discussion[J].Journal of Natural Disasters, 2008, 17(1):49-53(李明辉, 郑万模, 陈启国. 丹巴县地质灾害发育特征及成因探讨[J]. 自然灾害学报, 2008, 17(1):49-53) |
| [3] | Li Peng, Li Zhenhong, Li Tao, et al. Wide-Swath InSAR Geodesy and Its Applications to Large-Scale Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University, 2017, 42(9):1195-1202(李鹏, 李振洪, 李陶, 等. 宽幅InSAR大地测量学与大尺度形变监测方法[J]. 武汉大学学报·信息科学版, 2017, 42(9):1195-1202) |
| [4] | Ferretti A, Prati C, Rocca F. Nonlinear Subsidence Rate Estimation Using Permanent Scatterers in Differential SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5):2202-2212 |
| [5] | Ferretti A, Prati C, Rocca F. Permanent Scatterers in SAR Interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1):8-20 |
| [6] | Ao Meng, Zhang Qin, Zhao Chaoying, et al. An Improved CR-InSAR Technology Used for Deforma-tion Monitoring in Jiaju Landslide, Sichuan[J]. Geomatics and Information Science of Wuhan University, 2017, 42(3):377-383(敖萌, 张勤, 赵超英, 等. 改进的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) |
| [7] | Bekaert D P S, Walters R J, Wright T J, et al. Statistical Comparison of InSAR Tropospheric Correction Techniques[J]. Remote Sensing of Environment, 2015, 170:40-47 |
| [8] | Zhang Y, Meng X, Chen G, et al. Detection of Geohazards in the Bailong River Basin Using Synthetic Aperture Radar Interferometry[J].Landslides, 2016, 13(5):1273-1284 |
| [9] | Ferretti A, Fumagalli A, Novali F, et al. A New Algorithm for Processing Interferometric Data-Stacks:SqueeSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(9):3460-3470 |
| [10] | Yin Y, Zheng W, Liu Y, et al. Integration of GPS with InSAR to Monitoring of the Jiaju Landslide in Sichuan, China[J]. Landslides, 2010, 7(3):359-365 |
| [11] | Hu J, Li Z W, Ding X L, et al. Resolving Three-Dimensional Surface Displacements from InSAR Measurements:A Review[J]. Earth-Science Reviews, 2014, 133:1-17 |
| [12] | 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 |
| [13] | Hanssen R F. Radar Interferometry, Data Interpretation and Error Analysis[M]. Netherlands:Springer, 2001 |
| [14] | Mora O, Mallorqui J J, Broquetas A. Linear and Nonlinear Terrain Deformation Maps from a Reduced Set of Interferometric SAR Images[J].IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(10):2243-2253 |
| [15] | Lanari R, Mora O, Manunta M, et al. A Small-Baseline Approach for Investigating Deformations on Full-Resolution Differential SAR Interferograms[J].IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(7):1377-1386 |
| [16] | Lv X, Yazici B, Zeghal M, et al. Joint-Scatterer Processing for Time-Series InSAR[J].IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11):7205-7221 |
| [17] | Berardino P, Fornaro G, Lanari R, et al. A New Algorithm for Surface Deformation Monitoring Based on Small Baseline Differential SAR Interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11):2375-2383 |
| [18] | Hooper A. A Multi-temporal InSAR Method Incorporating Both Persistent Scatterer and Small Baseline Approaches[J].Geophysical Research Letter, 2008, 35:L16302 |
| [19] | Wang Y, Zhu X, Bamler R. Retrieval of Phase History Parameters from Distributed Scatterers in Urban Areas Using very High Resolution SAR Data[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 73(9):89-99 |
| [20] | Goel K, Adam N. A Distributed Scatterer Interfero-metry Approach for Precision Monitoring of Known Surface Deformation Phenomena[J].IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9):5454-5468 |
| [21] | Ng A H M, Ge L, Li X. Assessments of Land Subsidence in the Gippsland Basin of Australia Using ALOS PALSAR Data[J]. Remote Sensing of Environment, 2015, 159:86-101 |
| [22] | Cao N, Lee H, Jung H C. A Phase-Decomposition-Based PSInSAR Processing Method[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(2):1074-1090 |
| [23] | Dong J, Zhang L, Tang M, et al. Mapping Landslide Surface Displacements with Time Series SAR Interferometry by Combining Persistent and Distri-buted Scatterers:A Case Study of Jiaju Landslide in Danba, China[J]. Remote Sensing of Environment 2018, 205:180-198 |
| [24] | Colesanti C, Wasowski J. Investigating Landslides with Space-Borne Synthetic Aperture Radar (SAR) Interferometry[J]. Engineering Geology, 2006, 88(3):173-199 |
| [25] | Huang Runqiu, Xu Qiang. Catastrophic Landslide Disasters in China[M]. Beijing:Science Press, 2008(黄润秋, 许强. 中国典型灾难性滑坡[M]. 北京:科学出版社, 2008) |
| [26] | Xu Qiang, Li Weile, Dong Xiujun, et al. The Xinmocun Landslide on June 24, 2017 in Diexi Mao-xian, Sichuan:Characteristics and Failure Mechanism[J]. Chinese Journal of Rock Mechanics and Engineering, 2017, 11:2612-2628(许强, 李为乐, 董秀军, 等. 四川茂县叠溪镇新磨村滑坡特征与成因机制初步研究[J]. 岩石力学与工程学报, 2017, 11:2612-2628) |
| [27] | Yin Yueping, Wang Wenpei, Zhang Nan, et al.Long Runout Geological Disaster Initiated by the Ridge-Top Rockslide in a Strong Earthquake Area:A Case Study of the Xinmo Landslide in Maoxian County, Sichuan Province[J]. Geology in China, 2017, 44(5):827-841(殷跃平, 王文沛, 张楠, 等. 强震区高位滑坡远程灾害特征研究——以四川茂县新磨滑坡为例[J]. 中国地质, 2017, 44(5):827-841) |
| [28] | Su L, Hu K, Zhang W, et al. Characteristics and Triggering Mechanism of Xinmo Landslide on June 242017 in Sichuan, China[J]. Journal of Mountain Science, 2017, 14(9):1689-1700 |
| [29] | Xu Qiang, Tang Minggao, Huang Runqiu. Monitoring, Early Warning and Emergency Disposal of Large Landslides[M]. Beijing:Science Press, 2015(许强, 汤明高, 黄润秋. 大型滑坡监测预警与应急处置[M]. 北京:科学出版社, 2015) |
| [30] | Guo Huadong. Theory and Application of Earth Observation by Radar[M]. Beijing:Science Press, 2000(郭华东. 雷达对地观测理论与应用[M]. 北京:科学出版社, 2000) |
| [31] | Liao Mingsheng, Wang Teng. Time Series InSAR Technology and Its Applications[M]. Beijing:Scie-nce Press, 2014(廖明生, 王腾. 时间序列InSAR技术与应用[M]. 北京:科学出版社, 2014) |
| [32] | Liao Mingsheng, Zhang Lu, Shi Xuguo, et al. Methodology and Practice of Landslide Deformation Monitoring with SAR Remote Sensing[M]. Beijing:Science Press, 2017(廖明生, 张路, 史绪国, 等. 滑坡变形雷达遥感监测方法与实践[M]. 北京:科学出版社, 2017) |
| [33] | Rosen P A, Hensley S, Joughin I R, et al. Synthetic Aperture Radar Interferometry[J]. Proc of IEEE, 2000, 88(3):333-382 |
| [34] | Hooper A, Bekaert D, Spaans K, et al. Recent Advances in SAR Interferometry Time Series Analysis for Measuring Crustal Deformation[J].Tectonophysics, 2012, 514:1-13 |
| [35] | Crosetto M, Monserrat O, Cuevas-González M, et al. Persistent Scatterer Interferometry:A Review[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 115:78-89 |
| [36] | Yang Chengsheng, Zhang Qin, Zhao Chaoying, et al. Small Baseline Subset InSAR Technology Used in Datong Basin Ground Subsidence, Fissure and Fault Zone Monitoring[J]. Geomatics and Information Science of Wuhan University, 2014, 39(8):945-950(杨成生, 张勤, 赵超英, 等. 短基线集InSAR技术用于大同盆地地面沉降、地裂缝及断裂活动监测[J]. 武汉大学学报·信息科学版, 2014, 39(8):945-950) |
| [37] | Fujisada H, Bailey G B, Kelly G G, et al. ASTER DEM Performance[J].IEEE Transactions on Geoscie-nce and Remote Sensing, 2005, 43(12):2707-2714 |
| [38] | Shi X, Zhang L, Zhou C, et al. Retrieval of Time Series Three-Dimensional Landslide Surface Displacements from Multi-angular SAR Observations[J]. Landslides, 2018, 15(5):1015-1027 |
| [39] | Wasowski J, Bovenga F. Investigating Landslides and Unstable Slopes with Satellite Multi Temporal Interfero-metry:Current Issues and Future Perspectives[J]. Engineering Geology, 2014, 174:103-138 |
| [40] | Shi X, Zhang L, Balz T, et al. Landslide Deformation Monitoring Using Point-Like Target Offset Tracking with Multi-mode High-Resolution TerraSAR-X Data[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 105:128-140 |
| [41] | Shi X, Jiang H, Zhang L, et al. Landslide Displacement Monitoring with Split-Bandwidth Interferometry:A Case Study of the Shuping Landslide in the Three Gorges Area[J].Remote Sensing, 2017, 9(9):937 |
