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...
        Saved in:
      
    
          | Main Authors: | Yahui Chong, Qiming Zeng | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | MDPI AG
    
        2024-11-01 | 
| Series: | Remote Sensing | 
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/16/22/4188 | 
| Tags: | Add Tag 
      No Tags, Be the first to tag this record!
   | 
Similar Items
- 
                
                    Risk Assessment of Ground Subsidence in Foshan (China) Based on the Integration of SBAS-InSAR Observations and Inducing Factors        
                          
 by: Shouyong Yi, et al.
 Published: (2024-12-01)
- 
                
                    Surface deformation monitoring of Raniganj coalfield, India, using advanced InSAR and DGPS        
                          
 by: Debjyoti Ghosh, et al.
 Published: (2024-12-01)
- 
                
                    SBAS-InSAR Analysis of tectonic derived ground deformation and subsidence susceptibility mapping via machine learning in Quetta City, Pakistan        
                          
 by: Sajid Hussain, et al.
 Published: (2025-12-01)
- 
                
                    Land subsidence monitoring using InSAR technique in the southwestern region of Bangladesh        
                          
 by: Md. Shahoriar Sarker, et al.
 Published: (2024-12-01)
- 
                
                    Spatio-temporal evolution of land subsidence and susceptibility zonation of associated ground fissures in the urban area of loess plateau: a case in Xianyang city, China        
                          
 by: Yuemin Sun, et al.
 Published: (2024-12-01)
 
       