Monitoring and assessing reclamation settlement in coastal areas with advanced InSAR techniques: Macao city (China) case study
Publication in refereed journal

香港中文大學研究人員

引用次數
替代計量分析
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其它資訊
摘要In the present study, we have investigated spatial-temporal behaviours of the land subsidence induced by reclamation activities in Macao Special Administrative Region, a coastal city of southern China. An advanced Synthetic Aperture Radar Interferometry (InSAR) technique, referred to as Interferometric Point Target Analysis (IPTA), was applied to retrieve the deformation rate and displacement time series during the period from July 2006 to March 2009. Validated by levelling survey measurements, the InSAR-derived results showed a fairly stable and homogeneous pattern within the land of Macao before 1912, which consists mainly of the three granitic islands of Macao Peninsula, Taipa Island and Coloane Island. In contrast, relatively large deformation rates (between -15 and -41 mm year(-1)) and local spatial settlement variability were discovered within the latest reclamation areas. A quantitative comparison analysis of the relationship between the observed settlements and the evolution of land reclamation indicated a time-dependent settlement behaviour with respect to the age of the reclamation. Another key result was that differential settlements were detected over short distances in reclamation areas, particularly between the ground surfaces and the adjacent buildings, thus providing valuable information not only for early detection and remedial activities of potential settlement of such buildings but also for the design of future facilities adjacent to the buildings, particularly for that of large infrastructure developments.
著者Jiang LM, Lin H, Cheng SL
期刊名稱International Journal of Remote Sensing
詳細描述To ORKTS: duplicate record
出版年份2011
月份1
日期1
卷號32
期次13
出版社TAYLOR & FRANCIS LTD
頁次3565 - 3588
國際標準期刊號0143-1161
電子國際標準期刊號1366-5901
語言英式英語
Web of Science 學科類別Imaging Science & Photographic Technology; IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY; Remote Sensing; REMOTE SENSING

上次更新時間 2021-13-01 於 00:42