Advanced Search

Indexed by SCI、CA、РЖ、PA、CSA、ZR、etc .

Volume 36 Issue 6
Dec 2025
Turn off MathJax
Article Contents
Wandi Wang, Mahdi Motagh, Chao Zhou, Zhuge Xia, Sen Lyu, Mimi Peng, Guangchao Tan, Chengjin Yan. Slope Deformation Analysis of Muyubao Landslide, China, Using Lutan-1 InSAR Data. Journal of Earth Science, 2025, 36(6): 2825-2829. doi: 10.1007/s12583-025-2043-y
Citation: Wandi Wang, Mahdi Motagh, Chao Zhou, Zhuge Xia, Sen Lyu, Mimi Peng, Guangchao Tan, Chengjin Yan. Slope Deformation Analysis of Muyubao Landslide, China, Using Lutan-1 InSAR Data. Journal of Earth Science, 2025, 36(6): 2825-2829. doi: 10.1007/s12583-025-2043-y

Slope Deformation Analysis of Muyubao Landslide, China, Using Lutan-1 InSAR Data

doi: 10.1007/s12583-025-2043-y
More Information
  • Corresponding author: Chao Zhou, zhouchao@cug.edu.cn
  • Received Date: 29 Jun 2025
  • Accepted Date: 17 Sep 2025
  • Issue Publish Date: 30 Dec 2025
  • Conflict of Interest
    The authors declare that they have no conflict of interest.
  • loading
  • Chen, H. S., Qin, Z. H., Liu, B., et al., 2025. Assessing the Landslide Identification Capability of LuTan-1 in Hilly Regions: A Case Study in Longshan County, Hunan Province. Remote Sensing, 17(6): 960. https://doi.org/10.3390/rs17060960
    Dai, C., Li, W. L., Wang, D., et al., 2021. Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China. Journal of Earth Science, 32(5): 1092–1103. https://doi.org/10.1007/s12583-020-1380-0
    Farr, T. G., Rosen, P. A., Caro, E., et al., 2007. The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(2): 2005RG000183. https://doi.org/10.1029/2005rg000183
    Hooper, A., 2008. A Multi-Temporal InSAR Method Incorporating both Persistent Scatterer and Small Baseline Approaches. Geophysical Research Letters, 35(16): 2008GL034654. https://doi.org/10.1029/2008gl034654
    Hu, L. R., Tang, X. M., Tomás, R., et al., 2024. Monitoring Surface Deformation Dynamics in the Mining Subsidence Area Using LT-1 InSAR Interferometry: A Case Study of Datong, China. International Journal of Applied Earth Observation and Geoinformation, 131: 103936. https://doi.org/10.1016/j.jag.2024.103936
    Ji, Y. N., Zhang, X., Li, T., et al., 2023. Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data. Remote Sensing, 15(24): 5668. https://doi.org/10.3390/rs15245668
    Kamran, M., Hu, X. W., Hussain, M. A., et al., 2023. Dynamic Response and Deformation Behavior of Kadui-2 Landslide Influenced by Reservoir Impoundment and Rainfall, Baoxing, China. Journal of Earth Science, 34(3): 911–923. https://doi.org/10.1007/s12583-022-1649-6
    Liu, X. J., Zhao, C. Y., Zhang, Q., et al., 2021. Three-Dimensional and Long-Term Landslide Displacement Estimation by Fusing C- and L-Band SAR Observations: A Case Study in Gongjue County, Tibet, China. Remote Sensing of Environment, 267: 112745. https://doi.org/10.1016/j.rse.2021.112745
    Meyer, F. J., 2011. Performance Requirements for Ionospheric Correction of Low-Frequency SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 49(10): 3694–3702. https://doi.org/10.1109/tgrs.2011.2146786
    Wang, W. D., Motagh, M., Mirzaee, S., et al., 2023. The 21 July 2020 Shaziba Landslide in China: Results from Multi-Source Satellite Remote Sensing. Remote Sensing of Environment, 295: 113669. https://doi.org/10.1016/j.rse.2023.113669
    Xia, Z. G., Zhou, C., Wang, W. D., et al., 2025. Collapse of Meilong Expressway as Seen from Space: Detecting Precursors of Failure with Satellite Remote Sensing. Journal of Earth Science, 36(2): 835–838. https://doi.org/10.1007/s12583-025-0171-z
    Yang, F. Q., Shi, X. L., Dai, K. R., et al., 2024. Utilizing LuTan-1 SAR Images to Monitor the Mining-Induced Subsidence and Comparative Analysis with Sentinel-1. Remote Sensing, 16(22): 4281. https://doi.org/10.3390/rs16224281
    Zheng, W. J., Hu, J., Lu, Z., et al., 2023. Enhanced Kinematic Inversion of 3-D Displacements, Geometry, and Hydraulic Properties of a North-South Slow-Moving Landslide in Three Gorges Reservoir. Journal of Geophysical Research: Solid Earth, 128(6): e2022JB026232. https://doi.org/10.1029/2022jb026232
    Zhou, C., Cao, Y., Gan, L. L., et al., 2024. A Novel Framework for Landslide Displacement Prediction Using MT-InSAR and Machine Learning Techniques. Engineering Geology, 334: 107497. https://doi.org/10.1016/j.enggeo.2024.107497
    Zhou, C., Cao, Y., Yin, K. L., et al., 2020. Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China. Remote Sensing, 12(20): 3385. https://doi.org/10.3390/rs12203385
    Zhou, C., Ye, M. Y., Zhuge, X., et al., 2025. An Interpretable Attention-Based Deep Learning Method for Landslide Prediction Based on Multi-Temporal InSAR Time Series: A Case Study of Xinpu Landslide in the TGRA. Remote Sensing of Environment, 318: 114580. https://doi.org/10.1016/j.rse.2024.114580
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)

    Article Metrics

    Article views(21) PDF downloads(2) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return