最新公告：
《矿业科学学报》入选北大中文核心期刊 2023-12-27 喜报丨《矿业科学学报》首次入围“中国科技核心期刊” 2023-09-20 “矿物分选智能化理论及其应用”专刊征稿通知 2023-08-22 “矿井地质灾害隐患透明化”专刊征稿通知 2023-07-11 喜报！《矿业科学学报》再次被国际数据库收录！ 2023-02-08 喜报！《矿业科学学报》被Scopus数据库收录！ 2022-03-07

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于时序InSAR技术的大光包滑坡变形监测

陈磊,  赵学胜,  汤益先,  张红

downloadPDF
文章导航 > 矿业科学学报  > 2016 >  1(2): 113-119
陈磊, 赵学胜, 汤益先, 张红. 基于时序InSAR技术的大光包滑坡变形监测[J]. 矿业科学学报, 2016, 1(2): 113-119.
引用本文: 陈磊, 赵学胜, 汤益先, 张红. 基于时序InSAR技术的大光包滑坡变形监测[J]. 矿业科学学报, 2016, 1(2): 113-119.
shu
Chen Lei, Zhao Xuesheng, Tang Yixian, Zhang Hong. Deformation monitoring of the Daguangbao landslide with time series InSAR technique[J]. Journal of Mining Science and Technology, 2016, 1(2): 113-119.
Citation: Chen Lei, Zhao Xuesheng, Tang Yixian, Zhang Hong. Deformation monitoring of the Daguangbao landslide with time series InSAR technique[J]. Journal of Mining Science and Technology, 2016, 1(2): 113-119.
shu

基于时序InSAR技术的大光包滑坡变形监测

  • 1中国矿业大学(北京)地球科学与测绘工程学院,北京100083;2中国科学院遥感与数字地球研究所数字地球重点实验室,北京100094

基金项目: 国家自然科学基金(41271425);高校博士点专项科研基金(20130023110001)
详细信息
    作者简介:

    陈磊(1989—),男,山西晋中人,博士研究生,主要从事合成孔径雷达干涉测量方面的研究.

  • 中图分类号: P236

Deformation monitoring of the Daguangbao landslide with time series InSAR technique

  • 1College of Geoscience and Surveying Engineering,China University of Mining and Technology,Beijing 100083,China;2Key Laboratory of Digital Earth Science,Institute of Remote Sensing and Digital Earth,CAS,Beijing 100094,China

    摘要
  • 摘要: 大光包滑坡位于四川省安县高川乡,是2008年5月12日发生的8.0级汶川地震所引起的面积最大的滑坡,给人类财产、安全造成了巨大的损失.为监测该滑坡变形,防患于未然,本文采用时序InSAR技术来获取该滑坡的形变特征.为获取实验区的形变范围、形变速率和时序形变值,收集了实验区的11景2014年到2015年间的Radarsat-2影像以及一组TanDEM双站影像.实验结果表明,该滑坡在影像观测期间处于动态稳定状态,其滑动形变量较小,受降水和地震影响会产生轻微滑动,不会引起巨大的地质灾害.
    Abstract: The Daguangbao landslide is located in the Gaochuan village,Anxian county in the Sichuan province,China.It is the largest coseismic landslide triggered by the Ms 8.0 Wenchuan earthquake on May 12，2008 and it caused enormous human casualties and property damage.The time series InSAR technique is utilized to retrieve the deformation characteristics of the landslide to monitor the displacement and disasters warning.In order to get the deformation and deformation rate,eleven scenes of radar images collected from Radarsat-2 satellite between 2014 and 2015 and one pair of TanDEM bi-static images are used to obtain the time series values in the study.The study shows that the landslide is in a state of dynamic balance during the observation period,and its tiny deformation is induced by precipitation and earthquakes happened around the landslide.Therefore the landslide will not cause big geological disasters.
    • HTML全文
    • 参考文献(19)
  • [1] 刘国林, 张连蓬, 成枢, 等. 合成孔径雷达干涉测量与全球定位系统数据融合监测矿区地表沉降的可行性分析［J］. 测绘通报, 2005（11）: 10-13.Liu Guolin, Zhang Lianpeng, Cheng Shu, et al. Feasibility analysis of monitoring mining surface substance using InSARGPS data fusion［J］. Bulletin of Surveying and Mapping, 2005（11）:10-13.
    [2] Massonne T D,Feigl K L. Radar interferometry and its application to changes in the Earths surface［J］.Reviews of Geophysics, 1998, 36（4）: 441-500.
    [3] Yerro A, Corominas J, Monells D, et al. Analysis of the evolution of ground movements in a low densely urban area by means of DInSAR technique［J］.Engineering Geology, 2014, 170: 52-65.
    [4] Sun Q, Zhang L, Hu J, et al. Characterizing sudden geohazards in mountainous areas by DInSAR with an enhancement of topographic error correction［J］.Natural Hazards, 2015, 75（3）:2343-2356.
    [5] Pezzo G, Boncori J P M, Atzori S, et al. The 2013 Lunigiana （Central Italy） earthquake: seismic source analysis from DInSAR and seismological data, and geodynamical implications for the northern Apennines［J］.Tectonophysics, 2014, 636: 315-324.
    [6] Qin Yuxiao,Perissin D. Monitoring underground mining subsidence in South Indiana with C and Lband InSAR technique［C］∥Geoscience and Remote Sensing Symposium （IGARSS）, 2015Milan：IEEE International, 2015: 294-297.
    [7] Minh D,Van T L, Toan T, et al. Mapping ground subsidence phenomena in Ho Chi Minh City through the radar interferometry technique using ALOS PALSAR data［J］. Remote Sensing, 2015, 7（7）: 8543-8562.
    [8] Tofani V, Raspini F, Catani F, et al. Persistent scatterer interferometry （PSI） technique for landslide characterization and monitoring［J］. Remote Sensing, 2013, 5（3）: 1045-1065.
    [9] Ferretti A, Prati C,Rocca F. Permanent scatterers in SAR interferometry［J］.IEEE Transactions on Geoscience and Remote Sensing,2001, 39（1）: 8-20.
    [10] Dong Shaochun, Samsonov S, Yin Hongwei, et al. Spatiotemporal analysis of ground subsidence due to underground coal mining in Huainan coalfield, China［J］. Environmental Earth Sciences, 2015, 73（9）: 5523-5534.
    [11] Siles G L,Carlos AlcerrecaHuerta J, LopezQuiroz P, et al. Long term subsidence analysis and soil fracturing zonation based on InSAR time series modelling in Northern Zona Metropolitana del Valle de Mexico［J］. Remote Sensing, 2015, 7（6）: 6908-6931.
    [12] 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.
    [13] Tang Panpan, Chen Fulong, Guo Huadong, et al. Largearea landslides monitoring using advanced multitemporal InSAR technique over the Giant Panda Habitat, Sichuan, China［J］. Remote Sensing, 2015, 7（7）: 8925-8949.
    [14] Zhang Zhengjia, Wang Chao, Tang Yixian, et al. Subsidence monitoring in coal area using timeseries InSAR combining persistent scatterers and distributed scatterers［J］. International Journal of Applied Earth Observation and Geoinformation, 2015, 39: 49-55.
    [15] Goel K,Adam N. A distributed scatterer interferometry approach for precision monitoring of known surface deformation phenomena［J］.IEEE Transactions on Geoscience and Remote Sensing, 2014, 52（9）: 5454-5468.
    [16] 殷跃平, 成余粮, 王军, 等. 汶川地震触发大光包巨型滑坡遥感研究［J］.工程地质学报, 2011, 19（5）: 674-684.Yin Yueping, Cheng Yuliang, Wang Jun, et al. Remote sensing research on Daguangbao gigantic rockslide triggered by Wenchuan earthquake［J］. Journal of Engineering Geology, 2011, 19（5）: 674-684.
    [17] 李天涛, 裴向军, 黄润秋. 强震触发大光包巨型滑坡运动特征研究［J］.水文地质工程地质, 2014, 41（2）: 116-121.Li Tiantao, Pei Xiangjun, Huang Runqiu. A study of motion features of the Daguangbao largescale landslide induced by the Wenchuan Earthquake［J］. Hydrogeology and Engineering Geology, 2014, 41（2）: 116-121.
    [18] 许向宁, 李胜伟, 王小群,等.安县大光包滑坡形成机制与运动学特征讨论［J］.工程地质学报, 2013, 21（2）: 269-281.Xu Xiangning, Li Shengwei, Wang Xiaoqun, et al. Characteristics of formation mechanism and kinematics of Daguangbao landslide caused by Wenchuan earthquake, Sichuan, China［J］. Journal of Engineering Geology, 2013, 21（2）: 269-281.
    [19] Chen Qiang, Cheng Haiqin, Yang Yinghui, et al. Quantification of mass wasting volume associated with the giant landslide Daguangbao induced by the 2008 Wenchuan earthquake from persistent scatterer InSAR［J］. Remote Sensing of Environment, 2014, 152: 125-135.
    • 相关文章
    • 施引文献
  • 资源附件(0)
  • 加载中
WeChat 点击查看大图
计量
  • 文章访问数:  858
  • HTML全文浏览量:  71
  • PDF下载量:  479
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-06-21
  • 刊出日期:  2016-10-29

目录

    /

    返回文章
    返回

    京ICP备05066826号

    地址： 北京市海淀区学院路丁11号中国矿业大学（北京）3号办公楼

    联系电话： 010-62339662, 010-62339897, 010-62339528邮箱： kykxxb@cumtb.edu.cn

    本系统由 北京仁和汇智信息技术有限公司 设计开发