[1] ZOCCARATO C,MINDERHOUD P S J,TEATINI P.The role of sedimentation and natural compaction in a prograding delta:insights from the mega Mekong Delta,Vietnam[J].Scientific Reports,2018,8(1):11437. [2] GAMBOLATI G,TEATINI P.Geomechanics of subsurface water withdrawal and injection[J].Water Resources Research,2015,51(6):3922-3955. [3] 赵强.基于InSAR时序分析的吉林省地表形变监测研究[D].长春:吉林大学,2019. [4] 张文哲.基于SBAS-InSAR技术的天津市地表沉降监测研究[D].长春:吉林大学,2020. [5] 高文锦.基于SBAS-InSAR技术的深圳西部地区地表形变研究[D].西安:西安科技大学,2021. [6] 刘国祥.合成孔径雷达遥感新技术:InSAR介绍[J].四川测绘,2004,27(2):92-95. [7] SANDWELL D T,PRICE E J.Phase gradient approach to stacking interferograms[J].Journal of Geophysical Research:Solid Earth,1998,103(B12):30183-30204. [8] FERRETTI A,PRATI C,ROCCA F.Analysis of permanent scatterers in SAR interferometry[C]//Proceedings of 2000 International Geoscience and Remote Sensing Symposium.Honolulu:IEEE,2000. [9] 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. [10] HOU Jingxin,XU Bing,LI Zhiwei,et al.Block PS-InSAR ground deformation estimation for large-scale areas based on network adjustment[J].Journal of Geodesy,2021,95(10):111. [11] SHANKER P,CASU F,ZEBKER H A,et al.Comparison of persistent scatterers and small baseline time-series InSAR results:a case study of the San Francisco bay area[J].IEEE Geoscience and Remote Sensing Letters,2011,8(4):592-596. [12] 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. [13] TIZZANI P,BERARDINO P,CASU F,et al.Surface deformation of Long Valley caldera and Mono basin,California,investigated with the SBAS-InSAR approach[J].Remote Sensing of Environment,2007,108(3):277-289. [14] MANUNTA M,MARSELLA M,ZENI G,et al.Two-scale surface deformation analysis using the SBAS-DInSAR technique:a case study of the city of Rome,Italy[J].International Journal of Remote Sensing,2008,29(6):1665-1684. [15] 胡乐银,张景发,商晓青.SBAS-InSAR技术原理及其在地壳形变监测中的应用[J].地壳构造与地壳应力文集,2010(1):82-89. [16] 许文斌,李志伟,丁晓利,等.利用InSAR短基线技术估计洛杉矶地区的地表时序形变和含水层参数[J].地球物理学报,2012,55(2):452-461. [17] 虎小强,杨树文,闫恒,等.基于时序InSAR的新疆阿希矿区地表形变监测与分析[J].自然资源遥感,2023,35(1):171-179. [18] 张亚迪,李煜东,董杰,等.时序InSAR技术探测芒康地区滑坡灾害隐患[J].遥感学报,2019,23(5):987-996. [19] 颜丙囤,殷海涛,冯兵,等.InSAR数据约束下的2022年泸定MS6.8地震震源参数及滑动分布[J].大地测量与地球动力学,2023,43(3):221-225. [20] 许光煜.利用GPS和InSAR数据研究地震地壳形变及构造特征[J].测绘学报,2022,51(10):2239. [21] 曲菲霏,杨成生,张勤.基于MT-InSAR技术的城市活动断层定位与监测:以美国休斯敦地区为例[J].地球科学与环境学报,2022,44(4):617-631. [22] 张文朋,张春丽,高武平,等.基于PS-InSAR的蓟运河断裂震间形变监测研究[J].地震工程学报,2023,45(1):120-129. [23] 彭思佳,陈聪,白艳萍,等.基于InSAR技术的白龙江中游滑坡地表形变监测与成因分析[J].兰州大学学报(自然科学版),2022,58(4):492-501. [24] XIAO Bo,ZHAO Junsan,LI Dongsheng,et al.The monitoring and analysis of land subsidence in Kunming(China)supported by time series InSAR[J].Sustainability,2022,14(19):12387. [25] 丁瑞力,陈蜜,张丹丹.基于时序InSAR技术的北京地铁六号线二期工程沿线地面沉降监测与预测[J].测绘与空间地理信息,2022,45(11):23-26. [26] XU Xiaobo,ZHAO Dezheng,MA Chao,et al.Monitoring subsidence deformation of Suzhou subway using InSAR timeseries analysis[J].IEEE Access,2020,9:3400-3416. [27] ZHOU Lv,GUO Jiming,HU Jiyuan,et al.Wuhan surface subsidence analysis in 2015—2016 based on sentinel-1A data by SBAS-InSAR[J].Remote Sensing,2017,9(10):982. [28] ZHU Shasha,ZUO Xiaoqing,SHI Ke,et al.Surface subsidence monitoring in Kunming City with time-series InSAR and GNSS[J].Applied Sciences,2022,12(24):12752. [29] 杜东,刘宏伟,周佳慧,等.北京市通州区地面沉降特征与影响因素研究[J].地质学报,2022,96(2):712-725. [30] 晏霞,刘媛媛,赵振宇.利用时序InSAR技术监测南水进京后北京平原地区的地面沉降[J].地球物理学进展,2021,36(6):2351-2361. [31] WANG Jinfeng,LI Xinhu,CHRISTAKOS G,et al.Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun Region,China[J].International Journal of Geographical Information Science,2010,24(1):107-127. [32] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报,2017,72(1):116-134. [33] ZHANG Peng,GUO Zihao,GUO Shuangfeng,et al.Land subsidence monitoring method in regions of variable radar reflection characteristics by integrating PS-InSAR and SBAS-InSAR techniques[J].Remote Sensing,2022,14(14):3265. [34] MAGHSOUDI Y,VAN DER MEER F,HECKER C,et al.Using PS-InSAR to detect surface deformation in geothermal areas of West Java in Indonesia[J].International Journal of Applied Earth Observation and Geoinformation,2018,64:386-396. [35] CHEN Yang,YU Shengwen,TAO Qiuxiang,et al.Accuracy verification and correction of D-InSAR and SBAS-InSAR in monitoring mining surface subsidence[J].Remote Sensing,2021,13(21):4365. [36] 朱丹桐.基于地表形变点的滑坡易发性评价研究:以岷江流域为例[D].南京:南京师范大学,2016. [37] 陈富龙,林珲,程世来.星载雷达干涉测量及时间序列分析的原理、方法与应用[M].北京:科学出版社,2013. [38] 张扬,刘艳芳,刘莹,等.武汉市地面沉降时空分异特征及地理探测机制[J].武汉大学学报(信息科学版),2022,47(9):1486-1497. [39] 肖巍峰,杨文涛,李朝奎,等.基于PS-InSAR数据的北京市地面沉降影响因素及其交互作用探测[J].地理信息世界,2020,27(6):7-13. [40] XIA Min,REN GUANG ming,MA Xinlei.Deformation and mechanism of landslide influenced by the effects of reservoir water and rainfall,Three Gorges,China[J].Natural Hazards,2013,68(2):467-482. [41] LI Deying,YIN Kunlong,LEO C.Analysis of Baishuihe landslide influenced by the effects of reservoir water and rainfall[J].Environmental Earth Sciences,2010,60(4):677-687. [42] FUHRMANN T,GARTHWAITE M C.Resolving three-dimensional surface motion with InSAR:constraints from multi-geometry data fusion[J].Remote Sensing,2019,11(3):241. |