Article

Urban Ground Subsidence Monitoring and Prediction Using Time-Series InSAR and Machine Learning Approaches: A Case Study of Tianjin, China

2024-05-23

Abstract excerpt

<title>Abstract</title> <p>Urban ground subsidence, a major geo-hazard threatening sustainable urban development, has been increasingly reported worldwide, yet comprehensive investigations integrating multi-temporal ground deformation monitoring and predictive modeling are still lacking. This study aims to characterize the spatial-temporal evolution of ground subsidence in Tianjin's Jinnan District from 2016 to 2...

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Literature Corpus work: d8dab0ae-9036-588a-9bdb-b2c74bea2c6a
DOI: 10.21203/rs.3.rs-4370214/v1

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Urban Ground Subsidence Monitoring and Prediction Using Time-Series InSAR and Machine Learning Approaches: A Case Study of Tianjin, ChinaDOI 10.21203/rs.3.rs-4370214/v1Read

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