Long-Term Ground Deformation Monitoring and Quantitative Interpretation in Shanghai Using Multi-Platform TS-InSAR, PCA, and K-Means Clustering

Long-Term Ground Deformation Monitoring and Quantitative Interpretation in Shanghai Using Multi-Platform TS-InSAR, PCA, and K-Means Clustering

Ground subsidence in urban areas is mainly due to natural or anthropogenic activities, and it seriously threatens the healthy and sustainable development of the city and the security of individuals’ lives and assets. Shanghai is a megacity of China, and it has a long history of ground subsidence due...

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Bibliographic Details
Main Authors: Yahui Chong, Qiming Zeng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Remote Sensing
Subjects:
multi-platform TS-InSAR
ground subsidence
principal component analysis
deformation interpretation
subsidence driving factors
K-means clustering
Online Access:https://www.mdpi.com/2072-4292/16/22/4188

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https://www.mdpi.com/2072-4292/16/22/4188

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