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Urban ground subsidence monitoring and prediction using time-series InSAR and machine learning approaches: a case study of Tianjin, China

Jinlai Zhang, Pinglang Kou, Yuxiang Tao, Zhao Jin, Yijian Huang, Jinhu Cui, Wenli Liang, Rui Liu

2024Environmental Earth Sciences26 citationsDOI

Topics & Concepts

Interferometric synthetic aperture radarSynthetic aperture radarGround subsidenceRemote sensingSupport vector machineInterferometryGNSS augmentationRandom forestTime seriesSubsidenceGeologyEnvironmental scienceComputer scienceMachine learningGeotechnical engineeringGeomorphologyGlobal Positioning SystemTelecommunicationsPhysicsStructural basinGNSS applicationsAstronomySynthetic Aperture Radar (SAR) Applications and TechniquesCryospheric studies and observationsGeophysical Methods and Applications
Urban ground subsidence monitoring and prediction using time-series InSAR and machine learning approaches: a case study of Tianjin, China | Litcius