• DocumentCode
    670076
  • Title

    Deformation parameter estimation in low-coherence areas using a multi-satellite InSAR approach

  • Author

    Morishita, Yu. ; Hanssen, Ramon F.

  • Author_Institution
    Geodetic Dept., Geospatial Inf. Authority of Japan (GSI), Tsukuba, Japan
  • fYear
    2013
  • fDate
    23-27 Sept. 2013
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    Persistent Scatterer Interferometry (PSI) and Small Baseline Subset interferometry (SBAS) can be used to estimate time series of surface deformation with high precision. In areas with low coherence, and in the absence of sufficient PS, the estimation of reliable phase information can be very cumbersome. Here we report two methods to improve the feasibility and precision of deformation parameter estimation in low-coherence areas; adaptive multilook windowing and the integrated use of data from several satellite missions. Adaptive multilook windowing makes complex coherence estimation more precise. Combining multiple datasets improves the precision of deformation parameter estimation. These methods reveal significant subsidence and seasonal deformation in pasture on drained peat soils in the Netherlands, which have not been densely captured by conventional techniques.
  • Keywords
    deformation; radar interferometry; remote sensing by radar; soil; synthetic aperture radar; Netherlands; Persistent Scatterer Interferometry; Small Baseline Subset interferometry; adaptive multilook windowing; drained peat soils; low coherence areas; multisatellite InSAR approach; surface deformation parameter estimation; Coherence; Decorrelation; Estimation; Interferometry; Soil; Synthetic aperture radar; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar (APSAR), 2013 Asia-Pacific Conference on
  • Conference_Location
    Tsukuba
  • Type

    conf

  • Filename
    6705061