«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:

第47卷

期数:

2025年第01期

页码:

128-142

栏目:

大地测量、遥感与地学大数据

出版日期:

2025-01-15

文章信息/Info

Title:

InSAR Wide-area Identification and Monitoring of Landslide Hazards in Zhaotong Area of Yunnan, China

文章编号:

1672-6561(2025)01-0128-15

作者:

张雪¹; 魏云杰^2*; 杨成生¹; 刘勇³; 杨佳艺¹

(1. 长安大学 地质工程与测绘学院,陕西 西安 710054; 2. 中国地质环境监测院(自然资源部地质灾害技术指导中心),北京 100081; 3. 长安大学 公路学院,陕西 西安 710064)

Author(s):

ZHANG Xue¹;  WEI Yun-jie^2*;  YANG Cheng-sheng¹;  LIU Yong³;  YANG Jia-yi¹

(1. School of Geological Engineering and Geomatics, Chang'an University, Xi'an 710054, Shaanxi, China; 2. China Institute of Geo-environment Monitoring(Guide Center of Prevention Technology for Geo-hazards, MNR), Beijing 100081, China; 3. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China)

关键词:

InSAR技术;  R-index方法;  干涉图堆叠技术;  多维短基线集技术;  适宜性;  滑坡;  隐患识别;  分布规律

Keywords:

InSAR technology;  R-index method;  stacking-InSAR technology;  MSBAS technology;  suitability;  landslide;  hidden danger identification;  distribution pattern

分类号:

P237; P694

DOI:

10.19814/j.jese.2024.04030

文献标志码:

A

摘要:

云南昭通地区位于我国西南山区,受自然条件和人类活动影响,成为我国地质灾害多发地区之一。针对该地区开展滑坡隐患识别与监测对防灾减灾工作具有重要意义。采用R-index方法,分析了升降轨Sentinel-1A数据在该区域进行滑坡隐患识别的适宜性,为后续滑坡识别提供参考; 基于干涉图堆叠技术在研究区内共圈定出80处潜在滑坡隐患点,同时选取吉那古滑坡为典型灾害体,在获取升降轨Sentinel-1A数据雷达视线(LOS)向形变速率和形变时间序列的基础上,采用MSBAS InSAR技术获取吉那古滑坡2020～2021年的二维形变结果,并分析其二维时空形变特征。结果表明:2020年1月至2021年12月吉那古滑坡东西向累积形变最高达106.2 mm,垂直向累积形变达-100.3 mm。

Abstract:

Located in the southwestern mountainous areas of China, Zhaotong area is highly susceptible to geological disasters due to the combined influences of natural conditions and human activities. The identification and monitoring of landslide hazards in this region are crucial for effective disaster prevention and mitigation efforts. The R-index method was employed to assess the suitability of Sentinel-1A track lifting and lowering data for identifying landslide hazards in the area, aiming to contribute valuable insights for subsequent landslide detection; by utilizing interferometric stacking technology, a total of 80 potential landslide hazard points were distinguished within the study area; furthermore, Jinagu landslide was singled out as a representative disaster body for in-depth analysis; leveraging the LOS deformation rate and deformation time series derived from Sentinel-1A data from both ascending and descending orbits, MSBAS InSAR technology was employed to generate two-dimensional deformation results for Jinagu landslide from 2020 to 2021; subsequent analysis focused on unraveling the spatiotemporal deformation characteristics of the landslide. The results show that from January 2020 to December 2021, Jinagu landslide exhibits a cumulative deformation of 106.2 mm in the EW-direction and -100.3 mm in the vertical direction.

参考文献/References:

[1] 高志良,解明礼,巨能攀,等.堆积层滑坡多源遥感动态演变特征分析研究[J].武汉大学学报(信息科学版),2024,49(8):1482-1491.
GAO Zhi-liang,XIE Ming-li,JU Neng-pan,et al.Mul-ti-source Remote Sensing Dynamic Deformation Monitoring of Accumulation Landslide[J].Geomatics and Information Science of Wuhan University,2024,49(8):1482-1491.
[2] 朱 淳,龚逸非,宋盛渊,等.滑坡多源监测技术及预警模型研究进展与展望[J].西南交通大学学报,2024,https:∥link.cnki.net/urlid/51.1277.U.20240927.1634.009.
ZHU Chun,GONG Yi-fei,SONG Sheng-yuan,et al.Progress and Prospects of Landslide Multi-source Monitoring Technology and Early Warning Modelling Research[J].Journal of Southwest Jiaotong Univer-sity,2024,https:∥link.cnki.net/urlid/51.1277.U.202409-27.1634.009.
[3] 陶昶旭,张永双,任三绍.InSAR技术在滑坡识别与监测中应用的研究进展[J].中国地质,2024,https:∥link.cnki.net/urlid/11.1167.P.20240923.1754.004.
TAO Chang-xu,ZHANG Yong-shuang,REN San-shao.Research Progresses of InSAR Technology Application on Landslide Identification and Monitoring[J].Geology in China,2024,https:∥link.cnki.net/urlid/11.1167.P.20240923.1754.004.
[4] 冉 涛,徐如阁,李 奇.川藏交通廊道怒江段斜坡地质灾害发育特征及主控因素分析[J].自然灾害学报,2024,33(4):176-187.
RAN Tao,XU Ru-ge,LI Qi.Development Characteri-stics and Main Controlling Factors of the Slope Geohazards in Nujiang River Section of Sichuan-Xizang Traffic Corridor[J].Journal of Natural Disasters,2024,33(4):176-187.
[5] 戴可人,吴明堂,卓冠晨,等.西南山区大型水电工程库岸滑坡InSAR早期识别与监测研究进展[J].地球科学与环境学报,2023,45(3):559-577.
DAI Ke-ren,WU Ming-tang,ZHUO Guan-chen,et al.Review on InSAR Early Identification and Monitoring of Reservoir Landslides for Large Hydropower Engineering Projects in Southwest Mountainous Area of China[J].Journal of Earth Sciences and Environment,2023,45(3):559-577.
[6] 刘排英,贺少帅,王鹏生,等.基于升降轨Sentinel-1A SBAS InSAR的西南山区滑坡隐患早期识别研究[J].大地测量与地球动力学,2022,42(9):892-897.
LIU Pai-ying,HE Shao-shuai,WANG Peng-sheng,et al.Early Identification of Landslide Hazards in Southwest Mountainous Area Using Ascending and Descending Sentinel-1A and SBAS InSAR[J].Journal of Geodesy and Geodynamics,2022,42(9):892-897.
[7] 陆会燕,李为乐,许 强,等.光学遥感与InSAR结合的金沙江白格滑坡上下游滑坡隐患早期识别[J].武汉大学学报(信息科学版),2019,44(9):1342-1354.
LU Hui-yan,LI Wei-le,XU Qiang,et al.Early Detection of Landslides in the Upstream and Downstream Areas of the Baige Landslide,the Jinsha River Based on Optical Remote Sensing and InSAR Technologies[J].Geomatics and Information Science of Wuhan University,2019,44(9):1342-1354.
[8] 廖明生,董 杰,李梦华,等.雷达遥感滑坡隐患识别与形变监测[J].遥感学报,2021,25(1):332-341.
LIAO Ming-sheng,DONG Jie,LI Meng-hua,et al.Radar Remote Sensing for Potential Landslides Detection and Deformation Monitoring[J].National Remote Sensing Bulletin,2021,25(1):332-341.
[9] 张茂省,薛 强,贾 俊,等.山区城镇地质灾害调查与风险评价方法及实践[J].西北地质,2019,52(2):125-135.
ZHANG Mao-sheng,XUE Qiang,JIA Jun,et al.Me-thods and Practices for the Investigation and Risk Assessment of Geo-hazards in Mountainous Towns[J].Northwestern Geology,2019,52(2):125-135.
[10] 杨 桄,刘湘南.遥感影像解译的研究现状和发展趋势[J].国土资源遥感,2004(2):7-10,15.
YANG Guang,LIU Xiang-nan.The Present Research Condition and Development Trend of Remotely Sen-sed Imagery Interpretation[J].Remote Sensing for Land & Resources,2004(2):7-10,15.
[11] 费新峰,田 野,赵超英,等.基于多时相InSAR技术的黄河上游龙羊峡库区不稳定边坡识别与形变监测[J].地球科学与环境学报,2023,45(3):578-589.
FEI Xin-feng,TIAN Ye,ZHAO Chao-ying,et al.Identification and Deformation Monitoring of Unstable Slopes in Longyangxia Reservoir Area,the Upper Reach of Yellow River,China Based on Multi-temporal InSAR Technology[J].Journal of Earth Sciences and Environment,2023,45(3):578-589.
[12] 董 岳,丁明涛,李鑫泷,等.基于光学遥感像素偏移量的金沙江流域2018年白格滑坡演变过程[J].地球科学与环境学报,2022,44(6):1002-1015.
DONG Yue,DING Ming-tao,LI Xin-long,et al.Evolution of the 2018 Baige Landslides Revealed by Optical Remote Sensing Pixel Offsets in Jinsha River Basin,China[J].Journal of Earth Sciences and Environment,2022,44(6):1002-1015.
[13] 朱建军,李志伟,胡 俊.InSAR变形监测方法与研究进展[J].测绘学报,2017,46(10):1717-1733.
ZHU Jian-jun,LI Zhi-wei,HU Jun.Research Progress and Methods of InSAR for Deformation Monitoring[J].Acta Geodaetica et Cartographica Sinica,2017,46(10):1717-1733.
[14] 李显巨.基于LiDAR技术的复杂地质环境区滑坡识别研究[D].武汉:中国地质大学,2012.
LI Xian-ju.Research of the Landslide Recognition Based on LiDAR Technology in the Complex Geologi-cal Environment Area[D].Wuhan:China University of Geosciences,2012.
[15] 李德仁,周月琴,马洪超.卫星雷达干涉测量原理与应用[J].测绘科学,2000,25(1):9-12.
LI De-ren,ZHOU Yue-qin,MA Hong-chao.Principles and Applications of Interferometry SAR[J].Science of Surveying and Mapping,2000,25(1):9-12.
[16] 葛大庆,戴可人,郭兆成,等.重大地质灾害隐患早期识别中综合遥感应用的思考与建议[J].武汉大学学报(信息科学版),2019,44(7):949-956.
GE Da-qing,DAI Ke-ren,GUO Zhao-cheng,et al.Early Identification of Serious Geological Hazards with Integrated Remote Sensing Technologies:Th-oughts and Recommendations[J].Geomatics and Information Science of Wuhan University,2019,44(7):949-956.
[17] 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.
QU Fei-fei,YANG Cheng-sheng,ZHANG Qin.Monitoring and Identification of Active Faults in Urban Areas Using MT-InSAR Technology:A Case of Houston Area,USA[J].Journal of Earth Sciences and Environment,2022,44(4):617-631.
[18] 张本浩,魏云杰,杨成生,等.西藏然乌地区地质灾害隐患点InSAR识别与监测[J].中国地质灾害与防治学报,2022,33(1):18-26.
ZHANG Ben-hao,WEI Yun-jie,YANG Cheng-sheng,et al.InSAR Identification and Monitoring of Geolo-gical Hazards in Ranwu Region of Tibet[J].The Chinese Journal of Geological Hazard and Control,2022,33(1):18-26.
[19] 杨成生,董继红,朱赛楠,等.金沙江结合带巴塘段滑坡群InSAR探测识别与形变特征[J].地球科学与环境学报,2021,43(2):398-408.
YANG Cheng-sheng,DONG Ji-hong,ZHU Sai-nan,et al.Detection,Identification and Deformation Cha-racteristics of Landslide Groups by InSAR in Batang Section of Jinsha River Convergence Zone,China[J].Journal of Earth Sciences and Environment,2021,43(2):398-408.
[20] 许 强,董秀军,李为乐.基于天-空-地一体化的重大地质灾害隐患早期识别与监测预警[J].武汉大学学报(信息科学版),2019,44(7):957-966.
XU Qiang,DONG Xiu-jun,LI Wei-le.Integrated Spa-ce-air-ground Early Detection,Monitoring and Warn-ing System for Potential Catastrophic Geohazards[J].Geomatics and Information Science of Wuhan University,2019,44(7):957-966.
[21] 涂 宽,王文龙,谌 华,等.联合升降轨InSAR与高分辨率光学遥感的滑坡隐患早期识别:以宁夏隆德为例[J].中国地质灾害与防治学报,2021,32(6):72-81.
TU Kuan,WANG Wen-long,CHEN Hua,et al.Early Identification of Hidden Dangers of Lanslides Based on the Combination of Ascending and Descending Orbits InSAR and High Spatial Resolution Optical Remote Sensing:A Case Study of Landslides in Longde County,Southern Ningxia[J].The Chinese Journal of Geological Hazard and Control,2021,32(6):72-81.
[22] 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):2039-2049.
ZHANG Lu,LIAO Ming-sheng,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):2039-2049.
[23] 戴可人,铁永波,许 强,等.高山峡谷区滑坡灾害隐患InSAR早期识别:以雅砻江中段为例[J].雷达学报,2020,9(3):554-568.
DAI Ke-ren,TIE Yong-bo,XU Qiang,et al.Early Identification of Potential Landslide Geohazards in Alpine-canyon Terrain Based on SAR Interferometry:A Case Study of the Middle Section of Yalong River[J].Journal of Radars,2020,9(3):554-568.
[24] ROSI A,TOFANI V,TANTERI L,et al.The New Landslide Inventory of Tuscany(Italy)Updated with PS-InSAR:Geomorphological Features and Landslide Distribution[J].Landslides,2018,15(1):5-19.
[25] BEKAERT D P S,HANDWERGER A L,AGRAM P,et al.InSAR-based Detection Method for Mapping and Monitoring Slow-moving Landslides in Remote Regions with Steep and Mountainous Terrain:An Application to Nepal[J].Remote Sensing of Environment,2020,249(1):111983.
[26] 管新邦.云南省滑坡地质灾害危险性评价研究[D].北京:中国矿业大学,2018.
GUAN Xin-bang.Study on Risk Assessment of Landslide in Yunnan Province[D].Beijing:China Univer-sity of Mining and Technology,2018.
[27] 张 雪,杨成生,丁慧兰,等.基于时序InSAR的GRU-ARIMA云南昭通吉那古滑坡位移预测[J].大地测量与地球动力学,2024,44(10):1028-1033.
ZHANG Xue,YANG Cheng-sheng,DING Hui-lan,et al.GRU-ARIMA Model Displacement Prediction of Jinagu Landslide in Zhaotong,Yunnan Based on Ti-me-series InSAR[J].Journal of Geodesy and Geodynamics,2024,44(10):1028-1033.
[28] 张 超,陈 艳,张宇飞,等.基于多元线性回归模型的云南昭通地质灾害易发性评价[J].水文地质工程地质,2016,43(3):159-163.
ZHANG Chao,CHEN Yan,ZHANG Yu-fei,et al.Geoharzard Susceptibility Evaluation in Zhaotong of Yunnan Province Based on the Multiple Linear Regression Model[J].Hydrogeology & Engineering Geology,2016,43(3):159-163.
[29] 张 毅.基于InSAR技术的地表变形监测与滑坡早期识别研究:以白龙江流域中游为例[D].兰州:兰州大学,2018.
ZHANG Yi.Detecting Ground Deformation and Investigating Landslides Using InSAR Technique:Taking Middle Reach of Bailong River Basin as an Example[D].Lanzhou:Lanzhou University,2018.
[30] 刘 斌,葛大庆,王珊珊,等.TOPS和ScanSAR模式InSAR在广域地灾隐患识别中的联合应用[J].武汉大学学报(信息科学版),2020,45(11):1756-1762.
LIU Bin,GE Da-qing,WANG Shan-shan,et al.Combining Application of TOPS and ScanSAR InSAR in Large-scale Geohazards Identification[J].Geomatics and Information Science of Wuhan University,2020,45(11):1756-1762.
[31] SAMSONOV S,D'OREYE N,SMETS B.Ground Deformation Associated with Post-mining Activity at the French-German Border Revealed by Novel InSAR Ti-me Series Method[J].International Journal of Applied Earth Observation and Geoinformation,2013,23:142-154.
[32] LI Z Y,DAI K R,DENG J,et al.Identifying Potential Landslides in Steep Mountainous Areas Based on Improved Seasonal Interferometry Stacking-InSAR[J].Remote Sensing,2023,15(13):3278.
[33] 肖洪敏,张文江,田云锋,等.基于SBAS-InSAR方法的岷江上游峡谷区地表沉降的坡向分异规律研究[J].遥感技术与应用,2023,38(4):967-977.
XIAO Hong-min,ZHANG Wen-jiang,TIAN Yun-feng,et al.Controls Underlying the Aspect Pattern of SBAS-InSAR Retrieved Surface Subsidence in the Upper Minjiang Basin[J].Remote Sensing Technology and Application,2023,38(4):967-977.
[34] YUE X L,WU S H,HUANG M,et al.Spatial Association Between Landslides and Environmental Factors over Guizhou Karst Plateau,China[J].Journal of Mountain Science,2018,15(9):1987-2000.

相似文献/References:

[1]张永红,刘冰,吴宏安,等.雄安新区2012~2016年地面沉降InSAR监测[J].地球科学与环境学报,2018,40(05):652.
　ZHANG Yong-hong,LIU Bing,WU Hong-an,et al.Ground Subsidence in Xiong’an New Area from 2012 to 2016 Monitored by InSAR Technique[J].Journal of Earth Sciences and Environment,2018,40(01):652.
[2]朱 武,杨璐瑶,张金敏,等.联合InSAR和质量守恒法估计西藏贡觉地区雄巴滑坡厚度[J].地球科学与环境学报,2023,45(03):535.[doi:10.19814/j.jese.2022.12081]
　ZHU Wu,YANG Lu-yao,ZHANG Jin-min,et al.Thickness Estimation of Xiongba Landslide in Gongjue Area of Tibet, China by Combining InSAR and Mass Conservation Method[J].Journal of Earth Sciences and Environment,2023,45(01):535.[doi:10.19814/j.jese.2022.12081]
[3]戴可人,吴明堂,卓冠晨,等.西南山区大型水电工程库岸滑坡InSAR早期识别与监测研究进展[J].地球科学与环境学报,2023,45(03):559.[doi:10.19814/j.jese.2022.12080]
　DAI Ke-ren,WU Ming-tang,ZHUO Guan-chen,et al.Review on InSAR Early Identification and Monitoring of Reservoir Landslides for Large Hydropower Engineering Projects in Southwest Mountainous Area of China[J].Journal of Earth Sciences and Environment,2023,45(01):559.[doi:10.19814/j.jese.2022.12080]
[4]王伟卓,赵超英*,刘晓杰,等.澜沧江德钦段地质灾害隐患InSAR识别与形变监测[J].地球科学与环境学报,2024,46(04):557.[doi:10.19814/j.jese.2023.12042]
　WANG Wei-zhuo,ZHAO Chao-ying*,LIU Xiao-jie,et al.Identification and Deformation Monitoring of PotentialGeotechnical Hazards in the Deqin Section of the Lancang River, China[J].Journal of Earth Sciences and Environment,2024,46(01):557.[doi:10.19814/j.jese.2023.12042]

备注/Memo

备注/Memo:

收稿日期:2024-04-24; 修回日期:2024-11-25
基金项目:云南省科技计划项目(202403AA080001); 陕西省教育厅服务地方专项计划项目(23JE001); 长安大学中央高校基本科研业务费专项资金资助项目(300102262206)
*通信作者:魏云杰(1973-),男,河南柘城人,正高级工程师,工学博士,E-mail:wyj1973@126.com。

常用功能

更新日期/Last Update: 2025-01-20