A first approach for displacement analysis in Lisbon Downtown using PS-InSAR

被引:5
|
作者
Roque, Dora [1 ]
Fonseca, Ana Maria [1 ]
Henriques, Maria Joao [1 ]
Falcao, Ana Paula [2 ]
机构
[1] Lab Nacl Engn Civil, P-1700066 Lisbon, Portugal
[2] Univ Lisbon, Inst Super Tecn, P-1049001 Lisbon, Portugal
关键词
Permanent Scatterers; subsidence; seasonal trend; Lisbon downtown; INTERFEROMETRY; DEFORMATION; SCATTERERS; SHANGHAI;
D O I
10.1016/j.protcy.2014.10.094
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Lisbon Downtown presents unique geomorphologic properties which makes it an area prone to terrain instability. Serious accidents have occurred there, namely, during the 1755 earthquake and a flooding event at the extension of a subway line, demanding a frequent monitorization for safety reasons and expense minimization. In this study, Permanent Scatterers technique is applied. The calculated displacement velocities are compared to those obtained from levelling operations. Possible causes for the discrepancy are presented in the paper. Besides a subsidence trend, a seasonal behaviour is also detected, probably related to aquifer recharge or tides. (C) 2014 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:288 / 293
页数:6
相关论文
共 50 条
  • [1] Displacement Measuring of Coastal Area using PS-InSAR
    Youm, Minkyo
    Timothy, Tasliman Michael
    Lee, Sanghwa
    Kim, Hyukgil
    JOURNAL OF COASTAL RESEARCH, 2019, : 291 - 295
  • [2] Monitoring of ground displacement-induced railway anomalies using PS-InSAR techniques
    Tao, Rui
    Lau, Albert
    Mossefin, Mats Emil
    Kong, Gefei
    Nordal, Steinar
    Pan, Yutao
    MEASUREMENT, 2025, 248
  • [3] Detecting seasonal and trend components in PS-InSAR displacement time series
    Bai, Zechao
    Wang, Yanping
    Fang, Shibo
    Liu, Xianglei
    Gao, Mingliang
    Zhang, Ziwen
    GEOCARTO INTERNATIONAL, 2022, 37 (27) : 16212 - 16231
  • [4] PS-INSAR TARGET CLASSIFICATION USING DEEP LEARNING
    Aguiar, Pedro
    Cunha, Antonio
    Bakon, Matus
    Ruiz-Armenteros, Antonio M.
    Sousa, Joaquim J.
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2931 - 2934
  • [5] ASSESSMENT OF SLOPE STABILITY USING PS-INSAR TECHNIQUE
    Dwivedi, Ramji
    Varshney, Prabal
    Tiwari, Ashutosh.
    Singh, Ajai Kumar
    Dikshit, Onkar
    ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 : 35 - 38
  • [6] Remote monitoring of a concrete bridge using PS-InSAR
    Lasri, Othmane
    Giordano, Pier Francesco
    Limongelli, Maria Pina
    Previtali, Mattia
    EUROPEAN ASSOCIATION ON QUALITY CONTROL OF BRIDGES AND STRUCTURES, EUROSTRUCT 2023, VOL 6, ISS 5, 2023, : 893 - 899
  • [7] Ground instability detection using PS-InSAR in Lanzhou, China
    Zeng, R. Q.
    Meng, X. M.
    Wasowski, J.
    Dijkstra, T.
    Bovenga, F.
    Xue, Y. T.
    Wang, S. Y.
    QUARTERLY JOURNAL OF ENGINEERING GEOLOGY AND HYDROGEOLOGY, 2014, 47 (04) : 307 - 321
  • [8] Analysis of the Deformation Behavior and Sinkhole Risk in Kerdabad, Iran Using the PS-InSAR Method
    Azar, Mahdi Khoshlahjeh
    Hamedpour, Amir
    Maghsoudi, Yasser
    Perissin, Daniele
    REMOTE SENSING, 2021, 13 (14)
  • [9] TOMOSAR AND PS-INSAR ANALYSIS OF HIGH-RISE BUILDINGS IN BERLIN
    Balz, Timo
    Wei, Lianhuan
    Jendryke, Michael
    Perissin, Daniele
    Liao, Mingsheng
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 447 - 450
  • [10] DEFORMATION EXTRACTION METHOD OF TRANSMISSION TOWER FOUNDATION USING PS-INSAR
    Zhang, Bing
    Chen, Yan
    Chen, Yunping
    Bu, Xianghang
    2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 2935 - 2938