Land Subsidence in Coastal Environments: Knowledge Advance in the Venice Coastland by TerraSAR-X PSI

被引:39
|
作者
Tosi, Luigi [1 ]
Da Lio, Cristina [1 ]
Teatini, Pietro [1 ,2 ]
Strozzi, Tazio [3 ]
机构
[1] CNR, Inst Marine Sci, Arsenale Tesa 104,Castello 2737-F, I-30122 Venice, Italy
[2] Univ Padua, Dept Civil Environm & Architectural Engn, Via Loredan 20, I-35131 Padua, Italy
[3] Gamma Remote Sensing, Worbstr 225, CH-3073 Gumlingen, Switzerland
来源
REMOTE SENSING | 2018年 / 10卷 / 08期
关键词
land subsidence; TerraSAR-X; SAR interferometry; coastal environments; Venice lagoon; SALT MARSHES; DEFORMATION; INTERFEROMETRY; LAGOON;
D O I
10.3390/rs10081191
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The use of satellite SAR interferometric methods has significantly improved the monitoring of ground movements over the last decades, thus opening new possibilities for a more accurate interpretation of land subsidence and its driving mechanisms. TerraSAR-X has been extensively used to study land subsidence in the Venice Lagoon, Italy, with the aim of quantifying the natural and anthropogenic causes. In this paper, we review and update the main results achieved by three research projects supported by DLR AOs (German Aerospace Center Announcement of Opportunity) and conducted to test the capability of TerraSAR-X PSI (Persistent Scatterer Interferometry) to detect ground movements in the complex physiographic setting of the Venice transitional coastal environment. The investigations have been focused on the historical center of Venice, the lagoon inlets where the MoSE is under construction, salt marshes, and newly built-up areas in the littoral. PSI on stacks of stripmap TerraSAR-X images covering short- to long-time periods (i.e., the years 2008-2009, 2008-2011 and 2008-2013) has proven particularly effective to measure land subsidence in the Venice coastland. The very high spatial resolution (3 m) and the short repeat time interval (11 days) of the TerraSAR-X acquisitions make it possible to investigate ground movements with a detail unavailable in the past. The interferometric products, properly calibrated, allowed for a millimetric vertical accuracy of the land movements at both the regional and local scales, even for short-term analyses, i.e., spanning one year only. The new picture of the land movement resulted from processing TerraSAR-X images has significantly contributed to update the knowledge on the subsidence process at the Venice coast.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Exploration of Subsidence Estimation by Persistent Scatterer InSAR on Time Series of High Resolution TerraSAR-X Images
    Liu, Guoxiang
    Jia, Hongguo
    Zhang, Rui
    Zhang, Huixin
    Jia, Hongliang
    Yu, Bing
    Sang, Mingzhi
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2011, 4 (01) : 159 - 170
  • [42] Current measurements in coastal waters and rivers by TerraSAR-X along-track InSAR
    Romeiser, Roland
    [J]. PROCEEDINGS OF THE IEEE/OES/CMTC NINTH WORKING CONFERENCE ON CURRENT MEASUREMENT TECHNOLOGY, 2008, : 165 - 167
  • [43] PERSISTENT SCATTERER INTERFEROMETRY IN COMPLEX URBAN ENVIRONMENTS EXPLOITING TERRASAR-X AND TANDEM-X DATA
    Goel, Kanika
    Adam, Nico
    [J]. 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013, : 4182 - 4185
  • [44] Classification of Land Cover Types in TerraSAR-X Images Using Copula and Speckle Statistics
    Yao, Wei
    Cui, Shiyong
    Nies, Holger
    Loffeld, Otmar
    [J]. 10TH EUROPEAN CONFERENCE ON SYNTHETIC APERTURE RADAR (EUSAR 2014), 2014,
  • [45] Assessment of subsidence in Delhi NCR due to groundwater depletion using TerraSAR-X and persistent scatterers interferometry
    Malik, Kapil
    Kumar, Dheeraj
    Perissin, Daniele
    [J]. IMAGING SCIENCE JOURNAL, 2019, 67 (01): : 1 - 7
  • [46] COMPARISON OF COSMO-SKYMED AND TERRASAR-X DATA FOR THE RETRIEVAL OF LAND HYDROLOGICAL PARAMETERS
    Paloscia, Simonetta
    Pampaloni, Paolo
    Santi, Emanuele
    Pettinato, Simone
    Brogioni, Marco
    Palchetti, Enrico
    Crepaz, Andrea
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 5510 - 5513
  • [47] BEIJING SUBWAY TUNNELINGS AND HIGH-SPEED RAILWAY SUBSIDENCE MONITORING WITH PSINSAR AND TERRASAR-X DATA
    Ge, Daqing
    Zhang, Ling
    Li, Man
    Liu, Bin
    Wang, Yan
    [J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 6883 - 6886
  • [48] SEA SURFACE WIND FIELD RETRIEVAL FROM TERRASAR-X AND ITS APPLICATIONS TO COASTAL AREAS
    Li, XiaoMing
    Lehner, Susanne
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2059 - 2062
  • [49] MONITORING GROUND SUBSIDENCE IN AREAS COVERED BY DENSE VEGETATION USING TERRASAR-X IMAGES: A CASE STUDY OF HANGZHOU
    Wu, H. A.
    Zhang, Y. H.
    Luo, G. F.
    Kang, Y. K.
    Zhu, Y. M.
    [J]. XXIII ISPRS CONGRESS, COMMISSION VII, 2016, 41 (B7): : 55 - 59
  • [50] COSMO-SKYMED VERSUS TERRASAR-X -BASED INTERFEROMETRY FOR MONITORING THE MOSE SETTLEMENTS AT THE VENICE LAGOON INLETS
    Tosi, Luigi
    Strozzi, Tazio
    Teatini, Pietro
    [J]. 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 2837 - 2840