• DocumentCode
    39033
  • Title

    Faraday Rotation Retrieval Using SMOS Radiometric Data

  • Author

    Corbella, I. ; Lin Wu ; Torres, F. ; Duffo, N. ; Martin-Neira, Manuel

  • Author_Institution
    Remote Sensing Lab., Univ. Politec. de Catalunya, Barcelona, Spain
  • Volume
    12
  • Issue
    3
  • fYear
    2015
  • fDate
    Mar-15
  • Firstpage
    458
  • Lastpage
    461
  • Abstract
    Faraday rotation is dynamically computed from L-band radiometric data acquired by the Soil Moisture and Ocean Salinity satellite. Improved full polarimetric image reconstruction and smart spatiotemporal filtering are used to obtain good estimations of Faraday rotation, which compare very well with the values theoretically predicted from available ionosphere and geomagnetic field data.
  • Keywords
    Faraday effect; UHF measurement; feature extraction; filtering theory; geophysical image processing; image reconstruction; polarimetry; radiometry; remote sensing; Faraday rotation retrieval; L-band radiometric data; SMOS radiometric data; Soil Moisture and Ocean Salinity satellite; full polarimetric image reconstruction; smart spatiotemporal filtering; Faraday effect; Microwave radiometry; Noise; Orbits; Remote sensing; Thermal noise; Faraday rotation; L-band radiometry; Soil Moisture and Ocean Salinity (SMOS); interferometric synthetic aperture radiometry;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2014.2345845
  • Filename
    6881640