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Author Linlin Ge; Alex Ng; Zheyuan Du pdf  openurl
  Title Time Series Satellite InSAR Technique for Disaster Prevention? Type Conference Article
  Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018  
  Volume Issue Pages 200-212  
  Keywords InSAR, Foshan, Guangzhou, CSK, subsidence  
  Abstract Interferometric synthetic aperture radar (InSAR) has been widely used for mapping terrain and monitoring ground deformation. For example, the advanced time series InSAR (TS-InSAR) technique has been increasingly used to measure mm-level urban deformation. Subsidence from underground tunnel excavation has been known for more than a decade in Guangzhou and Foshan in Southern China, but past studies have only monitored the subsidence patterns as far as 2011 using InSAR. In this study, the deformation occurring during the most recent time-period between 2011 and 2017 has been measured using COSMO-SkyMed (CSK). We found that significant surface displacement rates occurred in the study area varying from -35 mm/year to 10 mm/year. A comparison between temporal and spatial patterns of deformations from our TS-InSAR measurements and different land use types in Guangzhou shows that there is no clear relationship between them. A detailed analysis on the sinkhole collapsed in early 2018 has been conducted, suggesting that surface loading may be a controlling factor of the subsidence, especially along the road and highway. Continuous monitoring of the deforming areas is important in order to minimise the risk of land subsidence and prevention of disasters.  
  Address UNSW Sydney; Guangdong University of Technology; UNSW Sydney  
  Corporate Author Thesis  
  Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Track (up) Geospatial and temporal information capture, management, and analytics in support of Disaster Decision Making Expedition Conference  
  Notes Approved no  
  Call Number Serial 1674  
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