Spatial-Correlation Based Persistent Scatterer Interferometric Study for Ground Deformation

被引:0
|
作者
Kousik Biswas
Debashish Chakravarty
Pabitra Mitra
Arundhati Misra
机构
[1] Indian Institute of Technology Kharagpur,Advanced Technology Development Centre
[2] Indian Institute of Technology Kharagpur,Department of Mining Engineering
[3] Indian Institute of Technology Kharagpur,Department of Computer Science and Engineering
[4] Space Applications Centre,undefined
[5] ISRO,undefined
关键词
InSAR; Persistent scatterer; PSInSAR; SBAS; Ground deformation; Spatial correlation;
D O I
暂无
中图分类号
学科分类号
摘要
Interferometric Synthetic Aperture Radar (InSAR), nowadays, is a precise technique for monitoring and detecting ground deformation at a millimetric level over large areas using multi-temporal SAR images. Persistent Scatterer Interferometric SAR (PSInSAR), an advanced version of InSAR, is an effective tool for measuring ground deformation using temporally stable reference points or persistent scatterers. We have applied both PSInSAR and Small Baseline Subset (SBAS) methods, based on the spatial correlation of interferometric phase, to estimate the ground deformation and time-series analysis. In this study, we select Las Vegas, Nevada, USA as our test area to detect the ground deformation along satellite line-of-sight (LOS) during November 1992–September 2000 using 44 C-band SAR images of the European Remote Sensing (ERS-1 and ERS-2) satellites. We observe the ground displacement rate of Las Vegas is in the range of −19 to 8 mm/year in the same period. We also cross-compare PSInSAR and SBAS using mean LOS velocity and time-series. The comparison shows a correlation coefficient of 0.9467 in the case of mean LOS velocity. Along this study, we validate the ground deformation results from the satellite with the ground water depth of Las Vegas using time-series analysis, and the InSAR measurements show similar patterns with ground water data.
引用
收藏
页码:913 / 926
页数:13
相关论文
共 50 条
  • [21] Spatial analysis of surface deformation distribution detected by persistent scatterer interferometry in Lanzhou Region, China
    Xue, Yating
    Meng, Xingmin
    Wasowsk, Janusz
    Chen, Guan
    Li, Kai
    Guo, Peng
    Bovenga, Fabio
    Zeng, Runqiang
    ENVIRONMENTAL EARTH SCIENCES, 2016, 75 (01) : 1 - 12
  • [22] A persistent scatterer interpolation for retrieving accurate ground deformation over InSAR-decorrelated agricultural fields
    Chen, Jingyi
    Zebker, Howard A.
    Knight, Rosemary
    GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (21) : 9294 - 9301
  • [23] DEFORMATION OF BHUJ EARTHQUAKE AREA OBTAINED WITH PERSISTENT SCATTERER INTERFEROMETRIC ANALYSIS OF ALOS L-BAND SAR DATA
    Vaka, Divya Sekhar
    Rao, Y. S.
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 513 - 516
  • [24] Monitoring of the ground displacement in the Isfahan, Iran, metropolitan area using persistent scatterer interferometric synthetic aperture radar technique
    Goorabi, Abolghasem
    Maghsoudi, Yasser
    Perissin, Daniele
    JOURNAL OF APPLIED REMOTE SENSING, 2020, 14 (02)
  • [25] Monitoring ground surface deformation in the Kharga and Dakhla Oases in Egypt using persistent scatterer interferometry technique
    Kurokami, Kyotaro
    Hama, Akira
    Iwasaki, Erina
    Matsuoka, Nobuhiro
    REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, 2025, 37
  • [26] PERSISTENT SCATTERER CLUSTERING FOR STRUCTURE DISPLACEMENT ANALYSIS BASED ON PHASE CORRELATION NETWORK
    Tanaka, Taichi
    Hoshuyama, Osamu
    2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4618 - 4621
  • [27] Polarimetric Persistent Scatterer Interferometry for Ground Deformation Monitoring with VV-VH Sentinel-1 Data
    Zhao, Feng
    Wang, Teng
    Zhang, Leixin
    Feng, Han
    Yan, Shiyong
    Fan, Hongdong
    Xu, Dongbiao
    Wang, Yunjia
    REMOTE SENSING, 2022, 14 (02)
  • [28] Polarimetric Persistent Scatterer Interferometry for Urban Ground Deformation Monitoring with Sentinel-1 Dual Polarimetric Data
    Zhao F.
    Zhang L.
    Wang T.
    Wang Y.
    Yan S.
    Fan H.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2022, 47 (09): : 1507 - 1514
  • [29] A spatial-correlation analysis of the cubic 3-torus topology based on the Planck 2013 data
    Aurich, R.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2015, 452 (02) : 1493 - 1501
  • [30] Deformation vector measurement by means of ground based interferometric radar system
    Michelini, Alberto
    Coppi, Francesco
    ACTIVE AND PASSIVE MICROWAVE REMOTE SENSING FOR ENVIRONMENTAL MONITORING, 2017, 10426