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

Wandi Wang , Mahdi Motagh , Chao Zhou , Zhuge Xia , Sen Lyu , Mimi Peng , Guangchao Tan , Chengjin Yan

Journal of Earth Science ›› 2025, Vol. 36 ›› Issue (6) : 2825 -2829.

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Journal of Earth Science ›› 2025, Vol. 36 ›› Issue (6) :2825 -2829. DOI: 10.1007/s12583-025-2043-y
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Slope Deformation Analysis of Muyubao Landslide, China, Using Lutan-1 InSAR Data

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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

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References

[1]

Chen H S, Qin Z H, Liu B, et al. . Assessing the Landslide Identification Capability of LuTan-1 in Hilly Regions: A Case Study in Longshan County, Hunan Province. Remote Sensing, 2025, 17(6): 960.

[2]

Dai C, Li W L, Wang D, et al. . Active Landslide Detection Based on Sentinel-1 Data and InSAR Technology in Zhouqu County, Gansu Province, Northwest China. Journal of Earth Science, 2021, 32(5): 1092-1103.

[3]

Farr T G, Rosen P A, Caro E, et al. . The Shuttle Radar Topography Mission. Reviews of Geophysics, 2007, 45(2): 2005RG000183.

[4]

Hooper A. A Multi-Temporal InSAR Method Incorporating both Persistent Scatterer and Small Baseline Approaches. Geophysical Research Letters, 2008, 35(16): 2008GL034654.

[5]

Hu L R, Tang X M, Tomás R, et al. . 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, 2024, 131: 103936.

[6]

Ji Y N, Zhang X, Li T, et al. . Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data. Remote Sensing, 2023, 15(24): 5668.

[7]

Kamran M, Hu X W, Hussain M A, et al. . Dynamic Response and Deformation Behavior of Kadui-2 Landslide Influenced by Reservoir Impoundment and Rainfall, Baoxing, China. Journal of Earth Science, 2023, 34(3): 911-923.

[8]

Liu X J, Zhao C Y, Zhang Q, et al. . 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, 2021, 267: 112745.

[9]

Meyer F J. Performance Requirements for Ionospheric Correction of Low-Frequency SAR Data. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(10): 3694-3702.

[10]

Wang W D, Motagh M, Mirzaee S, et al. . The 21 July 2020 Shaziba Landslide in China: Results from Multi-Source Satellite Remote Sensing. Remote Sensing of Environment, 2023, 295: 113669.

[11]

Xia Z G, Zhou C, Wang W D, et al. . Collapse of Meilong Expressway as Seen from Space: Detecting Precursors of Failure with Satellite Remote Sensing. Journal of Earth Science, 2025, 36(2): 835-838.

[12]

Yang F Q, Shi X L, Dai K R, et al. . Utilizing LuTan-1 SAR Images to Monitor the Mining-Induced Subsidence and Comparative Analysis with Sentinel-1. Remote Sensing, 2024, 16(22): 4281.

[13]

Zheng W J, Hu J, Lu Z, et al. . 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, 2023, 128(6): e2022JB026232.

[14]

Zhou C, Cao Y, Gan L L, et al. . A Novel Framework for Landslide Displacement Prediction Using MT-InSAR and Machine Learning Techniques. Engineering Geology, 2024, 334: 107497.

[15]

Zhou C, Cao Y, Yin K L, et al. . Landslide Characterization Applying Sentinel-1 Images and InSAR Technique: The Muyubao Landslide in the Three Gorges Reservoir Area, China. Remote Sensing, 2020, 12(20): 3385.

[16]

Zhou C, Ye M Y, Zhuge X, et al. . 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, 2025, 318: 114580.

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