• DocumentCode
    69738
  • Title

    Deformation Parameter Estimation in Low Coherence Areas Using a Multisatellite InSAR Approach

  • Author

    Morishita, Yu. ; Hanssen, Ramon F.

  • Author_Institution
    Geospatial Inf. Authority of Japan, Tsukuba, Japan
  • Volume
    53
  • Issue
    8
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    4275
  • Lastpage
    4283
  • Abstract
    Persistent scatterer (PS) interferometry and small baseline subset algorithms 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 cumbersome. Here, we report a successful approach for estimating deformation at pasture on drained peat soils using the integrated use of data from several satellite missions, a parametric deformation model with a generalized least squares method, and spatial averaging over statistically homogeneous pixels. The developed methodology is analyzed and applied on a test site in The Netherlands, where we report local subsidence rates and periodic signal over the peat and pasture areas.
  • Keywords
    decorrelation; deformation; geophysical techniques; least mean squares methods; radar interferometry; remote sensing by radar; soil; synthetic aperture radar; time series; The Netherlands; drained peat soils; least squares method; local subsidence rates; low coherence areas; multisatellite InSAR; pasture periodic signal; peat periodic signal; persistent scatterer interferometry; satellite data; small baseline subset algorithms; statistically homogeneous pixels; surface deformation parameter estimation; Coherence; Decorrelation; Deformable models; Estimation; Satellites; Soil; Synthetic aperture radar; Decorrelation; radar interferometry; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2015.2394394
  • Filename
    7042919