InSAR Displacement with High-Resolution Optical Remote Sensing for the Early Detection and Deformation Analysis of Active Landslides in the Upper Yellow River

被引:3
|
作者
Tu, Kuan [1 ]
Ye, Shirong [1 ]
Zou, Jingui [2 ]
Hua, Chen [3 ]
Guo, Jiming [2 ]
机构
[1] Wuhan Univ, GNSS Res Ctr, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Sch Geodesy & Geomatics, Wuhan 430079, Peoples R China
[3] Inst Disaster Prevent, Sch Emergency Management, Sanhe, Peoples R China
关键词
landslide detection; InSAR; optical remote sensing; Upper Yellow River (China); PERMANENT SCATTERERS; SURFACE DEFORMATION; HYDROPOWER STATION; SAR; RESERVOIR;
D O I
10.3390/w15040769
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Frequent landslides and other geological disasters pose a serious threat to human life and infrastructure in the Upper Yellow River. Detecting active landslides and ascertaining their impact necessitate the determination of deformation characteristics. In this study, we developed an integrated method combining interferometric synthetic aperture radar and high-resolution optical satellite remote sensing to detect active landslides in the Upper Yellow River region from Longyang Gorge to Lijia Gorge. Sentinel-1 satellite data from January 2019 to April 2021 with ascending and descending orbits were adopted to obtain deformation using the STACKING and interferometric point target analysis techniques. A 97.08% overlap rate in the detected results from the two InSAR technologies confirmed the suitability of both approaches. The missing detection rates (6.79% & 8.73%) from single line-of-sight (LOS) InSAR results indicate the necessity of different orbit direction data. Slight deformation rate changes (<4 mm/month) before and after rainy seasons of the Lijia Gorge landslide group indicate that precipitation exerted little impact on slope activity. This study supports the feasibility of integrated methods for the detection and analysis of active landslides in the Upper Yellow River and other regions.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Analysis on Saliency Estimation Methods in High-Resolution Optical Remote Sensing Imagery for Multi-Scale Ship Detection
    Li, Zezhong
    You, Yanan
    Liu, Fang
    [J]. IEEE ACCESS, 2020, 8 (08): : 194485 - 194496
  • [22] High-Resolution Network with Transformer Embedding Parallel Detection for Small Object Detection in Optical Remote Sensing Images
    Zhang, Xiaowen
    Liu, Qiaoyuan
    Chang, Hongliang
    Sun, Haijiang
    [J]. REMOTE SENSING, 2023, 15 (18)
  • [23] Deformation Monitoring of Posttensioned Bridges Using High-Resolution Satellite Remote Sensing
    Hoppe, Edward J.
    Novali, Fabrizio
    Rucci, Alessio
    Fumagalli, Alfio
    Del Conte, Sara
    Falorni, Giacomo
    Toro, Nora
    [J]. JOURNAL OF BRIDGE ENGINEERING, 2019, 24 (12)
  • [24] Military reconnaissance application of high-resolution optical satellite remote sensing
    Wang Zheng-gang
    Kang Qing
    Xun Yi-jia
    Shen Zhi-qiang
    Cui Chang-bin
    [J]. INTERNATIONAL SYMPOSIUM ON OPTOELECTRONIC TECHNOLOGY AND APPLICATION 2014: OPTICAL REMOTE SENSING TECHNOLOGY AND APPLICATIONS, 2014, 9299
  • [25] HIGH-RESOLUTION OPTICAL AND ACOUSTIC REMOTE-SENSING FOR UNDERWATER EXPLORATION
    STEWART, WK
    [J]. OCEANUS, 1991, 34 (01) : 10 - 22
  • [26] Automated object recognition in high-resolution optical remote sensing imagery
    Yao, Yazhou
    Chen, Tao
    Bi, Hanbo
    Cai, Xinhao
    Pei, Gensheng
    Yang, Guoye
    Yan, Zhiyuan
    Sun, Xian
    Xu, Xing
    Zhang, Hai
    [J]. NATIONAL SCIENCE REVIEW, 2023, 10 (06)
  • [27] Aircraft Recognition in High-Resolution Optical Satellite Remote Sensing Images
    Wu, Qichang
    Sun, Hao
    Sun, Xian
    Zhang, Daobing
    Fu, Kun
    Wang, Hongqi
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 12 (01) : 112 - 116
  • [28] Automated object recognition in high-resolution optical remote sensing imagery
    Yazhou Yao
    Tao Chen
    Hanbo Bi
    Xinhao Cai
    Gensheng Pei
    Guoye Yang
    Zhiyuan Yan
    Xian Sun
    Xing Xu
    Hai Zhang
    [J]. National Science Review, 2023, 10 (06) : 38 - 41
  • [29] BUILDING DETECTION AND HEIGHT ESTIMATION FROM HIGH-RESOLUTION INSAR AND OPTICAL DATA
    Wegner, Jan Dirk
    Ziehn, Jens R.
    Soergel, Uwe
    [J]. 2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2010, : 1928 - 1931
  • [30] High-Resolution Polar Network for Object Detection in Remote Sensing Images
    He, Xu
    Ma, Shiping
    He, Linyuan
    Ru, Le
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19