佛山地铁沿线时序InSAR形变时空特征分析

刘琦; 岳国森; 丁孝兵; 杨坤; 冯光财; 熊志强; 刘琦; 岳国森; 丁孝兵; 杨坤; 冯光财; 熊志强

doi:10.13203/j.whugis20190025

[1]

Alex N, Wang H, Dai Y W, et al. InSAR Reveals Land Deformation at Guangzhou and Foshan, China Between 2011 and 2017 with COSMO-SkyMed Data[J]. Remote Sensing, 2018, 10(6):813-836 doi: 10.3390/rs10060813

[2]

董好刚, 黄长生, 陈雯珠, 等.珠江三角洲环境地质控制性因素及问题分析[J].中国地质, 2012, 39(2):539-549 doi: 10.3969/j.issn.1000-3657.2012.02.025

Dong Haogang, Huang Changsheng, Chen Wenzhu, et al. Analysis of Environmental Geological Control Factors and Problems in the Pearl River Delta[J]. Chinese Geology, 2012, 39(2): 539-549 doi: 10.3969/j.issn.1000-3657.2012.02.025

[3]

易顺民, 梁池生.广东省地质灾害及防治[M].北京:科学出版社, 2010

Yi Shunmin, Liang Chisheng. Geological Hazards and Prevention in Guangdong Province[M]. Beijing: Science Press, 2010

[4]

Feng G C, Li Z W, Xu B, et al. Coseismic Deformation of the 2015 Mw6.4 Pishan, China, Earthquake Estimated from Sentinel-1A and ALOS2 Data[J]. Seismological Research Letters, 2016, 87(4): 800-806 doi: 10.1785/0220150264

[5]

Du Y N, Feng G C, Peng X, et al. Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010[J]. Applied Sciences, 2017, 7(5):466-484 doi: 10.3390/app7050466

[6]

王华, 喻永平, 蒋利龙.利用合成孔径雷达干涉监测广州佛山地面沉降[J].测绘科学, 2014, 39(7):67-71 http://d.old.wanfangdata.com.cn/Periodical/chkx201407015

Wang Hua, Yu Yongping, Jiang Lilong. Using Synthetic Aperture Radar Interferometry to Monitor Land Subsidence in Foshan, Guangzhou[J]. Surveying and Mapping Science, 2014, 39(7): 67-71 http://d.old.wanfangdata.com.cn/Periodical/chkx201407015

[7]

Wang H Q, Feng G C, Xu B, et al. Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China[J]. Remote Sensing, 2017, 9(10):1 004-1 016 doi: 10.3390/rs9101004

[8]

秦晓琼, 杨梦诗, 廖明生, 等.应用PSInSAR技术分析上海道路网沉降时空特性[J].武汉大学学报·信息科学版, 2017, 42(2): 170-177 http://ch.whu.edu.cn/CN/abstract/abstract5657.shtml

Qin Xiaoqiong, Yang Mengshi, Liao Mingsheng, et al. Exploring Temporal-Spatial Characteristics of Shanghai Road Networks Settlement with Multi-temporal PSInSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2017, 42(2): 170-177 http://ch.whu.edu.cn/CN/abstract/abstract5657.shtml

[9]

王茹, 杨天亮, 杨梦诗, 等. PS-InSAR技术对上海高架路的沉降监测与归因分析[J].武汉大学学报·信息科学版, 2018, 43(12): 2 050-2 057 http://ch.whu.edu.cn/CN/abstract/abstract6289.shtml

Wang Ru, Yang Tianliang, Yang Mengshi, et al. Attribution Analysis on Deformation Feature of the Shanghai Elevated Highway by Persistent Scatterer SAR Interferometry[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2 050-2 057 http://ch.whu.edu.cn/CN/abstract/abstract6289.shtml

[10]

段光耀, 刘欢欢, 宫辉力, 等.京津城际铁路沿线不均匀地面沉降演化特征[J].武汉大学学报·信息科学版, 2017, 42(12): 1 847-1 853 http://ch.whu.edu.cn/CN/abstract/abstract5910.shtml

Duan Guangyao, Liu Huanhuan, Gong Huili, et al. Evolution Characteristics of Uneven Land Subsidence Along Beijing-Tianjin Inter-City Railway[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12):1 847-1 853 http://ch.whu.edu.cn/CN/abstract/abstract5910.shtml

[11]

姚衍桃, 詹文欢, 刘再峰, 等.珠江三角洲的新构造运动及其与三角洲演化的关系[J].华南地震, 2008, 28(1):29-40 doi: 10.3969/j.issn.1001-8662.2008.01.004

Yao Yantao, Zhan Wenhuan, Liu Zaifeng, et al. Neotectonics in the Pearl River Delta and Its Relationship with Delta Evolution[J]. South China Earthquake Research, 2008, 28(1): 29-40 doi: 10.3969/j.issn.1001-8662.2008.01.004

[12]

Xu B, Feng G C, Li Z W, et al. Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China[J]. Remote Sensing, 2016, 8(8):652-670 doi: 10.3390/rs8080652

[13]

Ferretti A, Prati C, Rocca F. Permanent Scatterers in SAR Interferometry[J]. Remote Sensing, 2001, 39(1): 8-20 http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_fa07af7c653e4e41534e6a20e57046e7

[14]

Li Z W, Ding X L, Huang C, et al. Improved Filtering Parameter Determination for the Goldstein Radar Interferogram Filter[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 63(6):621-634 doi: 10.1016/j.isprsjprs.2008.03.001

[15]

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): 2 202-2 212 doi: 10.1109/36.868878

[16]

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

[17]

吴波.复杂条件下城市地铁隧道施工地表沉降研究[D].成都: 西南交通大学, 2003

Wu Bo. Research on Ground Settlement of Urban Subway Tunnel Construction Under Complicated Conditions[D]. Chengdu: Southwest Jiaotong University, 2003

[18]

Yang Z F, Li Z W, Zhu J J, et al. Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model[J]. Remote Sensing, 2017, 9(2):125-142 doi: 10.3390/rs9020125

[1]	Alex N, Wang H, Dai Y W, et al. InSAR Reveals Land Deformation at Guangzhou and Foshan, China Between 2011 and 2017 with COSMO-SkyMed Data[J]. Remote Sensing, 2018, 10(6):813-836 doi: 10.3390/rs10060813
[2]	董好刚, 黄长生, 陈雯珠, 等.珠江三角洲环境地质控制性因素及问题分析[J].中国地质, 2012, 39(2):539-549 doi: 10.3969/j.issn.1000-3657.2012.02.025 Dong Haogang, Huang Changsheng, Chen Wenzhu, et al. Analysis of Environmental Geological Control Factors and Problems in the Pearl River Delta[J]. Chinese Geology, 2012, 39(2): 539-549 doi: 10.3969/j.issn.1000-3657.2012.02.025
[3]	易顺民, 梁池生.广东省地质灾害及防治[M].北京:科学出版社, 2010 Yi Shunmin, Liang Chisheng. Geological Hazards and Prevention in Guangdong Province[M]. Beijing: Science Press, 2010
[4]	Feng G C, Li Z W, Xu B, et al. Coseismic Deformation of the 2015 Mw6.4 Pishan, China, Earthquake Estimated from Sentinel-1A and ALOS2 Data[J]. Seismological Research Letters, 2016, 87(4): 800-806 doi: 10.1785/0220150264
[5]	Du Y N, Feng G C, Peng X, et al. Subsidence Evolution of the Leizhou Peninsula, China, Based on InSAR Observation from 1992 to 2010[J]. Applied Sciences, 2017, 7(5):466-484 doi: 10.3390/app7050466
[6]	王华, 喻永平, 蒋利龙.利用合成孔径雷达干涉监测广州佛山地面沉降[J].测绘科学, 2014, 39(7):67-71 http://d.old.wanfangdata.com.cn/Periodical/chkx201407015 Wang Hua, Yu Yongping, Jiang Lilong. Using Synthetic Aperture Radar Interferometry to Monitor Land Subsidence in Foshan, Guangzhou[J]. Surveying and Mapping Science, 2014, 39(7): 67-71 http://d.old.wanfangdata.com.cn/Periodical/chkx201407015
[7]	Wang H Q, Feng G C, Xu B, et al. Deriving Spatio-Temporal Development of Ground Subsidence Due to Subway Construction and Operation in Delta Regions with PS-InSAR Data: A Case Study in Guangzhou, China[J]. Remote Sensing, 2017, 9(10):1 004-1 016 doi: 10.3390/rs9101004
[8]	秦晓琼, 杨梦诗, 廖明生, 等.应用PSInSAR技术分析上海道路网沉降时空特性[J].武汉大学学报·信息科学版, 2017, 42(2): 170-177 http://ch.whu.edu.cn/CN/abstract/abstract5657.shtml Qin Xiaoqiong, Yang Mengshi, Liao Mingsheng, et al. Exploring Temporal-Spatial Characteristics of Shanghai Road Networks Settlement with Multi-temporal PSInSAR Technique[J]. Geomatics and Information Science of Wuhan University, 2017, 42(2): 170-177 http://ch.whu.edu.cn/CN/abstract/abstract5657.shtml
[9]	王茹, 杨天亮, 杨梦诗, 等. PS-InSAR技术对上海高架路的沉降监测与归因分析[J].武汉大学学报·信息科学版, 2018, 43(12): 2 050-2 057 http://ch.whu.edu.cn/CN/abstract/abstract6289.shtml Wang Ru, Yang Tianliang, Yang Mengshi, et al. Attribution Analysis on Deformation Feature of the Shanghai Elevated Highway by Persistent Scatterer SAR Interferometry[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2 050-2 057 http://ch.whu.edu.cn/CN/abstract/abstract6289.shtml
[10]	段光耀, 刘欢欢, 宫辉力, 等.京津城际铁路沿线不均匀地面沉降演化特征[J].武汉大学学报·信息科学版, 2017, 42(12): 1 847-1 853 http://ch.whu.edu.cn/CN/abstract/abstract5910.shtml Duan Guangyao, Liu Huanhuan, Gong Huili, et al. Evolution Characteristics of Uneven Land Subsidence Along Beijing-Tianjin Inter-City Railway[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12):1 847-1 853 http://ch.whu.edu.cn/CN/abstract/abstract5910.shtml
[11]	姚衍桃, 詹文欢, 刘再峰, 等.珠江三角洲的新构造运动及其与三角洲演化的关系[J].华南地震, 2008, 28(1):29-40 doi: 10.3969/j.issn.1001-8662.2008.01.004 Yao Yantao, Zhan Wenhuan, Liu Zaifeng, et al. Neotectonics in the Pearl River Delta and Its Relationship with Delta Evolution[J]. South China Earthquake Research, 2008, 28(1): 29-40 doi: 10.3969/j.issn.1001-8662.2008.01.004
[12]	Xu B, Feng G C, Li Z W, et al. Coastal Subsidence Monitoring Associated with Land Reclamation Using the Point Target Based SBAS-InSAR Method: A Case Study of Shenzhen, China[J]. Remote Sensing, 2016, 8(8):652-670 doi: 10.3390/rs8080652
[13]	Ferretti A, Prati C, Rocca F. Permanent Scatterers in SAR Interferometry[J]. Remote Sensing, 2001, 39(1): 8-20 http://d.old.wanfangdata.com.cn/OAPaper/oai_doaj-articles_fa07af7c653e4e41534e6a20e57046e7
[14]	Li Z W, Ding X L, Huang C, et al. Improved Filtering Parameter Determination for the Goldstein Radar Interferogram Filter[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 63(6):621-634 doi: 10.1016/j.isprsjprs.2008.03.001
[15]	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): 2 202-2 212 doi: 10.1109/36.868878
[16]	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
[17]	吴波.复杂条件下城市地铁隧道施工地表沉降研究[D].成都: 西南交通大学, 2003 Wu Bo. Research on Ground Settlement of Urban Subway Tunnel Construction Under Complicated Conditions[D]. Chengdu: Southwest Jiaotong University, 2003
[18]	Yang Z F, Li Z W, Zhu J J, et al. Deriving Dynamic Subsidence of Coal Mining Areas Using InSAR and Logistic Model[J]. Remote Sensing, 2017, 9(2):125-142 doi: 10.3390/rs9020125