Evaluation of Synthetic Aperture Radar Satellite Remote Sensing for Pavement and Infrastructure Monitoring

被引:25
|
作者
Ozden, Abdulkadir [1 ]
Faghri, Ardeshir [1 ]
Li, Mingxin [1 ]
Tabrizi, Kaz [2 ]
机构
[1] Univ Delaware, Newark, DE 19716 USA
[2] Adv Infrastruct Design Inc, Hamilton, NJ USA
关键词
Synthetic Aperture Radar; InSAR; Pavement Monitoring; Satellite Remote Sensing;
D O I
10.1016/j.proeng.2016.04.098
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study aims to carry out investigation of the capability of Synthetic Aperture Radar (SAR) satellite data and interferometric synthetic aperture radar (InSAR) for use in advanced infrastructure monitoring, which is a tangible breakthrough allowing to assess pavement deformations and deformation velocities with millimetric accuracy. Recent developments in satellite remote sensing and availability of high-resolution SAR products have created an opportunity for SAR-based monitoring in pavement and infrastructure management. Therefore, SAR-based monitoring has become valuable for monitoring and rehabilitating the nation's deteriorating roadway infrastructure elements such as bridge settlements and displacements, roadway surface deformations, geohazards and sinkhole detection, historical analysis of problematic sites, etc. In this research study, the feasibility, and effectiveness of use of satellite remote sensing technology for pavement and infrastructure monitoring were evaluated. A cost benefit analysis for a possible SAR-based monitoring system was performed. It was found that SAR-based methods are useful as a complementary tool rather than a replacement for current technologies and practices, specifically in the sense of state of good repair. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:752 / 759
页数:8
相关论文
共 50 条
  • [31] Remote sensing of desert dune forms by polarimetric synthetic aperture radar (SAR)
    Blumberg, DG
    REMOTE SENSING OF ENVIRONMENT, 1998, 65 (02) : 204 - 216
  • [32] Monitoring Great Lakes ice cover with satellite synthetic aperture radar (SAR)
    Leshkevich, GA
    Nghiem, SV
    Kwok, R
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 478 - 480
  • [33] Angkor site monitoring and evaluation by radar remote sensing
    Chen, Fulong
    Jiang, Aihui
    Ishwaran, Natarajan
    LAND SURFACE REMOTE SENSING II, 2014, 9260
  • [34] Synthetic aperture radar for disaster monitoring
    Dunkel, R.
    Saddler, R.
    Doerry, A. W.
    RADAR SENSOR TECHNOLOGY XV, 2011, 8021
  • [35] Synthetic aperture characterization of radar satellite constellations
    Goodman, NA
    Stiles, JM
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 665 - 667
  • [36] Research Progress of Optical Satellite Remote Sensing Monitoring Asphalt Pavement Aging
    Wang, Jingwen
    Yang, Dayong
    Xie, Zhiwei
    Wang, Han
    Hao, Zhigang
    Zhou, Fanyu
    Wang, Xiaona
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2024, 90 (08): : 471 - 482
  • [37] PROCESSING OF SYNTHETIC APERTURE RADAR FROM A SATELLITE
    ELLIS, ABE
    GEC-JOURNAL OF SCIENCE & TECHNOLOGY, 1979, 45 (03): : 123 - 128
  • [38] Deformation monitoring of bridges applying remote sensing satellite radar measurements
    Vorwagner, Alois
    Kwapisz, Maciej
    Leopold, Philip
    Ralbovsky, Marian
    Gutjahr, Karl Heinz
    Moser, Thomas
    BETON- UND STAHLBETONBAU, 2024, 119 (09) : 636 - 647
  • [39] THE PERFORMANCE OF SATELLITE RADAR REMOTE SENSING TECHNOLOGY IN GROUND SETTLEMENT MONITORING
    Qin, Yuxiao
    Perissin, Daniele
    Pang, Matthew
    Wang, Zhiying
    Lin, Hui
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 3847 - 3850
  • [40] Use of Orbital Synthetic Aperture Radar Data in Monitoring Geotechnical and Transportation Infrastructure Assets
    Gajurel, Amit
    Puppala, Anand J.
    Biswas, Nripojyoti
    Chimauriya, Hiramani R.
    GEO-CONGRESS 2024: GEOTECHNICAL DATA ANALYSIS AND COMPUTATION, 2024, 352 : 513 - 522