Accurate Water Level Measurement in the Bridge Using X-Band SAR

被引:8
|
作者
Kim, S-W [1 ]
Lee, Y-K [1 ]
机构
[1] Sejong Univ, Dept Energy Resources & Geosyst Engn, Seoul 05006, South Korea
基金
新加坡国家研究基金会;
关键词
Bridges; Synthetic aperture radar; Radar polarimetry; Backscatter; Geometry; Reservoirs; Dams; Bridge; Constellation of Small Satellites for Mediterranean Basin Observation (COSMO-SkyMed); high-resolution synthetic aperture radar (SAR); relative water level; scattering characteristics; INTERFEROMETRY;
D O I
10.1109/LGRS.2021.3138396
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Bridges are an important infrastructure during natural hazards; however, the water levels of reservoirs on which exist bridges have often been restricted in practice owing to the lack of gauging stations. This letter presents a method for measuring the relative water level at bridges using synthetic aperture radar (SAR) single-look complex data with an X-band. Unique multiscattering between the bridge and water surface provides a basis for the range shifting of the strong backscattering in the SAR data according to the water level change. The performance was evaluated using multitemporal Constellation of Small Satellites for Mediterranean Basin Observation (COSMO-SkyMed) images with strong backscatter related to the bridge. A time-series of water level is estimated from double-and triple-bounced backscatters and compared with the gauged data. The estimated relative water levels at the subpixel shift aided by oversampling of Hough image have a squared correlation coefficient of 0.985 and 0.999 for the double and triple bounce, respectively. The triple bounce was more consistent with the gauged water level, as the sensitivity of the range distance change is twice that of the double bounce, and the disturbance by the bridge substructure is low. In particular, the standard deviation of the relative water level change using the triple bounce was 0.17 m. The results demonstrated accurate water level measurements with subpixel precision. Therefore, it can be effectively used to monitor hydrological changes in remote areas with bridges.
引用
收藏
页数:5
相关论文
共 50 条
  • [1] Sensitivity Study of X-Band Multiparametric SAR Data From Cabbage Fields
    Arii, Motofumi
    Yamada, Hiroyoshi
    Sakamoto, Hitoshi
    Kojima, Shoichiro
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [2] Characterization of the PAZ X-Band SAR Using the HITCHHIKER Ground Receiver
    Behner, Florian
    Reuter, Simon
    Nies, Holger
    Cuerda Munoz, Juan Manuel
    Garcia Rodriguez, Marcos
    Loffeld, Otmar
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [3] Polarimetric Characteristics of X-Band SAR Sea Clutter
    Stacy, N. J. S.
    Preiss, M.
    Crisp, D.
    2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006, : 4017 - 4020
  • [4] Airborne X-band SAR Tomography for Forest Volumes
    Muirhead, Fiona
    Woodhouse, Lain H.
    Mulgrew, Bernard
    SAR IMAGE ANALYSIS, MODELING, AND TECHNIQUES XVI, 2016, 10003
  • [5] Remote Sensing X-Band SAR Data for Land Subsidence and Pavement Monitoring
    Karimzadeh, Sadra
    Matsuoka, Masashi
    SENSORS, 2020, 20 (17) : 1 - 21
  • [6] X-Band SAR System for Light-Weight Aircrafts
    Vavriv, D. M.
    Bezvesilniy, O. O.
    Kozhyn, R. V.
    Vynogradov, V. V.
    Volkov, V. A.
    Gorovyi, Ie. M.
    Sekretarov, S. S.
    2014 15TH INTERNATIONAL RADAR SYMPOSIUM (IRS), 2014,
  • [7] RBX: The new X-band SAR system from INTA
    Larranaga, J. R.
    de Porras Bernacer, R.
    del Castillo, J.
    Gimeno, N.
    Aguilar, P.
    Baquero, A. M.
    Casal, N.
    Cifuentes, P.
    Cores, J. F.
    Cuerda, J. M.
    Garcia, M.
    Gomez, B.
    Gonzalez, M. J.
    Lopez, A.
    Madrono, D.
    Ojalvo, L.
    Pedreira, A.
    Sanchez, S.
    REVISTA DE TELEDETECCION, 2014, (41): : 89 - 96
  • [8] X-Band Interferometric SAR Observations of Baltic Fast Ice
    Berg, Anders
    Dammert, Patrik
    Eriksson, Leif E. B.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 53 (03): : 1248 - 1256
  • [9] CHARACTERIZATION OF TROPICAL RAINFOREST FOR X-BAND SPACEBORNE SAR CALIBRATION USING TANDEM-X DATA
    Dell'Amore, Luca
    Bueso-Bello, Jose-Luis
    Klenk, Patrick
    Reimann, Jens
    Rizzoli, Paola
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 1477 - 1480
  • [10] Using C/X-band SAR interferometry and GNSS measurements for the Assisi landslide analysis
    Bovenga, F. (bovenga@ba.issia.cnr.it), 1600, Taylor and Francis Ltd. (34):