A mining-area surface-subsidence prediction method based on SBAS-InSAR and STL-XGBoost. [PDF]
Guo J, Li C.
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Monitoring deformation of seasonally frozen Yellow River bank soil: A synergetic application of the SBAS InSAR approach. [PDF]
Mao Y, Ji H, Yang Z.
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Land Subsidence in the Loess Plateau: SBAS-InSAR Analysis of Yan'an New District During 2017-2022. [PDF]
Hong Y +6 more
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Ground subsidence monitoring and analysis of Lairong railway during its entire construction cycle based on SBAS-InSAR. [PDF]
Sheng F +8 more
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Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
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From Deformation Monitoring to Mechanism Insight: Assessing Sudden Subsidence Risk via an Improved 2D SBAS-InSAR and Physical Modeling Approach. [PDF]
Du Q +6 more
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Integration of SBAS-InSAR and RFE-RF-XGBoost for Landslide Vulnerability Assessment: A Case Study in Zhaotong City, Yongshan County. [PDF]
Huang J +6 more
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Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China). [PDF]
Shang J +5 more
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A method for monitoring three dimensional surface deformation in mining areas combining SBAS-InSAR, GNSS and probability integral method. [PDF]
Tao Q +7 more
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Research on geological hazard characteristics and susceptibility of the Duku Highway based on SBAS-InSAR and improved spatiotemporal clustering. [PDF]
Niu Y +7 more
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