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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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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High-precision monitoring and prediction of mining area surface subsidence using SBAS-InSAR and CNN-BiGRU-attention model. [PDF]
Zhu M +7 more
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Mining-Induced Time-Series Deformation Investigation Based on SBAS-InSAR Technique: A Case Study of Drilling Water Solution Rock Salt Mine. [PDF]
Liu X +6 more
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Research on Benggang identification and deformation monitoring based on optical and Radar data. [PDF]
Liu H +6 more
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Multi-sensor-based rock glacier detection over Sikkim Himalaya. [PDF]
Kumar A, Malviya A, Singh G.
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InSAR Techniques for Landslide Study: A Review of Methods, Challenges, and Emerging Trends. [PDF]
Zhang H, Liu B, Zhu D, Liu Z, Shi M.
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