[1] 刘青豪,张永红,邓 敏,等.大范围地表沉降时序深度学习预测法[J].测绘学报,2021,50(3):396-404.
LIU Qing-hao,ZHANG Yong-hong,DENG Min,et al.Time Series Prediction Method of Large-scale Surface Subsidence Based on Deep Learning[J].Acta Geodae-tica et Cartographica Sinica,2021,50(3):396-404.
[2] 戴宜韦.InSAR矿区沉降监测与建模[D].广州:广东工业大学,2020.
DAI Yi-wei.Monitoring and Modeling of InSAR Mi-ning Area Subsidence[D].Guangzhou:Guangdong University of Technology,2020.
[3] 张 玮.时序InSAR方法监测矿区地面沉降的研究[D].北京:中国地质大学,2021.
ZHANG Wei.Study on Time-series InSAR Method for Monitoring Land Subsidence in Mining Areas[D].Beijing:China University of Geosciences,2021.
[4] 王海庆,聂洪峰,陈 玲,等.采矿沉陷遥感调查与危害性研究[J].国土资源遥感,2016,28(1):114-121.
WANG Hai-qing,NIE Hong-feng,CHEN Ling,et al.Remote Sensing Investigation of Mining Subsidence and Harmfulness Research[J].Remote Sensing for Land and Resources,2016,28(1):114-121.
[5] 陈炳乾.面向矿区沉降监测的InSAR技术及应用研究[D].徐州:中国矿业大学,2015.
CHEN Bing-qian.A Study on InSAR for Subsidence Monitoring in Mining Area[D].Xuzhou:China University of Mining and Technology,2015.
[6] 吴文超,胡俊凯.基于D-InSAR技术的矿区沉降监测研究[J].工程技术研究,2023,8(16):28-31.
WU Wen-chao,HU Jun-kai.Research on Mining Area Subsidence Monitoring Based on D-InSAR Technology[J].Engineering and Technological Research,2023,8(16):28-31.
[7] 马 飞.矿区沉降InSAR监测与预测方法研究[D].西安:长安大学,2020.
MA Fei.Research on InSAR Monitoring and Prediction Method of Mine Subsidence[D].Xi'an:Chang'an University,2020.
[8] 邢学敏,杨 东,刘祥彬,等.基于MT-InSAR的河南白沙水库煤矿区沉降监测[J].长沙理工大学学报(自然科学版),2023,DOI:10.19951/j.cnki.1672-9331.20220222001.
XING Xue-min,YANG Dong,LIU Xiang-bin,et al.Deformation Monitoring Using MT-InSAR for Baisha Reservoir Coal Mine Area in Henan Province[J].Journal of Changsha University of Science & Techno-logy(Natural Science),2023,DOI:10.19951/j.cnki.1672-9331.20220222001.
[9] MA S Y,QIU H J,YANG D D,et al.Surface Multi-hazard Effect of Underground Coal Mining[J].Landslides,2023,20:39-52.
[10] FAN H D,GU W,QIN Y,et al.A Model for Extracting Large Deformation Mining Subsidence Using D-InSAR Technique and Probability Integral Method[J].Transactions of Nonferrous Metals Society of China,2014,24(4):1242-1247.
[11] XIA Y P,WANG Y J,DU S,et al.Integration of D-InSAR and GIS Technology for Identifying Illegal Underground Mining in Yangquan District,Shanxi Province,China[J].Environmental Earth Sciences,2018,77(8):319.
[12] 仝云霄,黄 岩,陈 宇,等.D-InSAR矿区地表沉降监测及时空分析[J].测绘科学,2020,45(3):67-73.
TONG Yun-xiao,HUANG Yan,CHEN Yu,et al.Surface Subsidence Monitoring and Spatio-temporal Analysis in Mining Area Based on D-InSAR[J].Science of Surveying and Mapping,2020,45(3):67-73.
[13] 李永超,高腾飞,李建军,等.D-InSAR技术在岱庄生建煤矿地面沉降监测中的应用[J].矿山测量,2018,46(3):49-53.
LI Yong-chao,GAO Teng-fei,LI Jian-jun,et al.Application of D-InSAR in Land Subsidence Monitoring in Daizhuang Shenjian Coal Mine[J].Mine Surveying,2018,46(3):49-53.
[14] HE K,ZOU Y F,HAN Z G,et al.Time-series InSAR Technology for Monitoring and Analyzing Surface De-formations in Mining Areas Affected by Fault Disturbances[J].Remote Sensing,2024,16(24):4811.
[15] 郭凯维,郭传超,史耀凡,等.D-InSAR技术在矿区地表沉降中的监测研究[J].测绘与空间地理信息,2022,45(2):70-73.
GUO Kai-wei,GUO Chuan-chao,SHI Yao-fan,et al.Monitoring and Research of D-InSAR Technology in Mining Area Surface Subsidence[J].Geomatics & Spatial Information Technology,2022,45(2):70-73.
[16] 付 翔.基于时序InSAR的矿区沉降监测及沉陷预计研究[D].淮南:安徽理工大学,2023.
FU Xiang.Mining Subsidence Monitoring and Subsi-dence Prediction Based on Time Series InSAR[D].Huainan:Anhui University of Science and Techno-logy,2023.
[17] 刘志敏,李永生,张景发,等.基于SBAS-InSAR的长治矿区地表形变监测[J].国土资源遥感,2014,26(3):37-42.
LIU Zhi-min,LI Yong-sheng,ZHANG Jing-fa,et al.An Analysis of Surface Deformation in the Changzhi Mining Area Using Small Baseline InSAR[J].Remote Sensing for Land and Resources,2014,26(3):37-42.
[18] 李 辉,卫 星,朱 哲,等.基于SBAS-INSAR技术的抚顺市矿区地表沉陷监测与分析[J].测绘与空间地理信息,2021,44(7):173-175,178.
LI Hui,WEI Xing,ZHU Zhe,et al.Monitoring and Analysis of Ground Subsidence in the Mining Area of Fushun Based on SBAS-InSAR[J].Geomatics & Spatial Information Technology,2021,44(7):173-175,178.
[19] 王 颂,张路青,周 剑,等.基于 SBAS-InSAR 时序分析技术的甘肃省红会矿区地面沉降监测及其灾害发育特征研究[J].工程地质学报,2023,31(6):1951-1963.
WANG Song,ZHANG Lu-qing,ZHOU Jian,et al.Land Subsidence Monitoring and Geo-hazard Development Characteristics of Honghui Mining Area in Gansu Province Based on SBAS-InSAR Time Series Ana-lysis[J].Journal of Engineering Geology,2023,31(6):1951-1963.
[20] 李 达,邓喀中,高晓雄,等.基于SBAS-InSAR的矿区地表沉降监测与分析[J].武汉大学学报(信息科学版),2018,43(10):1531-1537.
LI Da,DENG Ka-zhong,GAO Xiao-xiong,et al.Monitoring and Analysis of Surface Subsidence in Mining Area Based on SBAS-InSAR[J].Geomatics and Information Science of Wuhan University,2018,43(10):1531-1537.
[21] ASHRAF T,YIN F,LIU L,et al.Land Subsidence Detection Using SBAS- and Stacking-InSAR with Zo-nal Statistics and Topographic Correlations in Lakhra Coal Mines,Pakistan[J].Remote Sensing,2024,16(20):3815.
[22] XIE Y X,BAGAN H S,TAN L W,et al.Time-series Analysis of Mining-induced Subsidence in the Arid Region of Mongolia Based on SBAS-InSAR[J].Remote Sensing,2024,16(12):2166.
[23] XU Y Z,LI T,TANG X M,et al.Research on the Applicability of D-InSAR,Stacking-InSAR and SBAS-InSAR for Mining Region Subsidence Detection in the Datong Coalfield[J].Remote Sensing,2022,14(14):3314.
[24] CHEN Y,TONG Y X,TAN K.Coal Mining Defor-mation Monitoring Using SBAS-InSAR and Offset Tracking:A Case Study of Yu County,China[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2020,13:6077-6087.
[25] 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.
YANG Cheng-sheng,ZHANG Qin,ZHAO Chao-ying,et al.Small Baseline Bubset 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.
[26] 黄德华.基于InSAR技术的大同市云冈矿区地面沉降监测[J].华东地质,2023,44(4):476-484.
HUANG De-hua.Land Subsidence Monitoring in Yungang Mining Area in Datong City Based on InSAR Technology[J].East China Geology,2023,44(4):476-484.
[27] 仝云霄,杨俊泉,王 雪,等.基于时序InSAR的山西大同煤田地表沉降监测及时空演化分析[J].中国地质,2024,51(1):170-183.
TONG Yun-xiao,YANG Jun-quan,WANG Xue,et al.Land Subsidence Monitoring and Spatiotemporal Evolution Characteristics Analysis of Datong Coal-field,Shanxi Province Based on Time Series InSAR[J].Geology in China,2024,51(1):170-183.
[28] 陈志达,庞校光.基于时序InSAR技术的矿区形变监测与分析[J].地理空间信息,2022,20(10):5-10.
CHEN Zhi-da,PANG Xiao-guang.Deformation Monitoring and Analysis of Mining Area Based on Time-series InSAR Technology[J].Geospatial Information,2022,20(10):5-10.
[29] JIA X M,MA C,ZHAO A Y.Environmental Investigation and Evaluation of Land Subsidence in the Datong Coalfield Based on InSAR Technology[J].Acta Geologica Sinica(English Edition),2008,82(5):1035-1044.
[30] 徐 甫,王 政,李振洪,等.复杂环境下的地基雷达大气改正方法[J].武汉大学学报(信息科学版),2023,48(12):2069-2081.
XU Fu,WANG Zheng,LI Zhen-hong,et al.An Atmospheric Correction Method for Ground-based Radar Under Complex Environment[J].Geomatics and Information Science of Wuhan University,2023,48(12):2069-2081.
[31] YU C,LI Z H,PENNA N T,et al.Generic Atmospheric Correction Model for Interferometric Synthetic Aperture Radar Observations[J].Journal of Geophy-sical Research:Solid Earth,2018,123(10):9202-9222.
[32] YU C,PENNA N T,LI Z H.Generation of Real-time Mode High-resolution Water Vapor Fields from GPS Observations[J].Journal of Geophysical Research:Atmospheres,2017,122(3):2008-2025.
[33] 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.
[34] 尹宏杰,朱建军,李志伟,等.基于SBAS的矿区形变监测研究[J].测绘学报,2011,40(1):52-58.
YIN Hong-jie,ZHU Jian-jun,LI Zhi-wei,et al.Grou-nd Subsidence Monitoring in Mining Area Using D-InSAR SBAS Algorithm[J].Acta Geodaetica et Cartographica Sinica,2011,40(1):52-58.
[35] 靳雨田.利用SBAS-InSAR和幂指数Knothe模型监测矿区沉降方法研究[D].太原:太原理工大学,2023.
JIN Yu-tian.Research on Mining Subsidence Monitoring Method Based on SBAS-InSAR and Exponent Knothe Model[D].Taiyuan:Taiyuan University of Technology,2023.
[1]白贵霞,程传录,郭春喜,等.汶川地震地形形变监测与分析[J].地球科学与环境学报,2010,32(02):205.
BAI Gui-xia,CHENG Chuan-lu,GUO Chun-xi,et al.Analysis and Monitoring of Crustal Deformation in Wenchuan Earthquake[J].Journal of Earth Sciences and Environment,2010,32(03):205.
[2]韩军强,黄观文,李哲.复杂环境下GNSS滑坡监测多路径效应分析及处理方法[J].地球科学与环境学报,2018,40(03):355.
HAN Jun-qiang,HUANG Guan-wen,LI Zhe.Multipath Effect Analysis and Processing Method of GNSS Landslide Monitoring Under Complicated Environment[J].Journal of Earth Sciences and Environment,2018,40(03):355.