• DocumentCode
    3070722
  • Title

    Observational analysis of soil moisture effects on DInSAR signals

  • Author

    Zwieback, Simon ; Hajnsek, Irena ; Hensley, Scott

  • Author_Institution
    Inst. of Environ. Eng., ETH Zurich, Zurich, Switzerland
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    4046
  • Lastpage
    4049
  • Abstract
    Different mechanisms for the impact of soil moisture on interferometric radar data have been proposed, but its magnitude, sign and even presence have barely been studied empirically and thus remain poorly understood. In this study the dependence of the phase and coherence magnitude on soil moisture was inferred empirically with regression techniques: this was done for two airborne data sets at L band. The phase dependence was significant (α = 0.05) for more than 70% of the fields at HH polarization, its sign corresponding to an increase in optical path upon wetting. This trend was similar in both campaigns, whereas the prevalence of soil moisture-related decorrelation differs. These results are only consistent with a dielectric origin of the soil moisture effects, and not with soil swelling or the penetration depth hypothesis.
  • Keywords
    geophysical signal processing; radar interferometry; regression analysis; remote sensing by radar; soil; DInSAR signals; coherence magnitude; interferometric radar data; observational analysis; phase dependence; regression technique; soil moisture effects; Coherence; Dielectrics; Soil moisture; Synthetic aperture radar; Vegetation mapping; DInSAR; deformation; polarimetry; soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723721
  • Filename
    6723721