• DocumentCode
    68699
  • Title

    Impact of Correlator Efficiency Errors on SMOS Land–Sea Contamination

  • Author

    Corbella, Ignasi ; Duran, Israel ; Lin Wu ; Torres, Francesc ; Duffo, Nuria ; Khazaal, Ali ; Martin-Neira, Manuel

  • Author_Institution
    Remote Sensing Lab., Univ. Politec. de Catalunya, Barcelona, Spain
  • Volume
    12
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    1813
  • Lastpage
    1817
  • Abstract
    Land-sea contamination observed in Soil Moisture and Ocean Salinity (SMOS) brightness temperature images is found to have two main contributions: the floor error inherent of image reconstruction and a multiplicative error either in the antenna temperature or in the visibility samples measured by the correlator. The origin of this last one is traced down to SMOS calibration parameters to yield a simple correction scheme, which is validated against several geophysical scenarios. Autoconsistency rules in interferometric synthesis together with redundant and complementary calibration procedures provide a robust SMOS calibration scheme.
  • Keywords
    artificial satellites; brightness; geophysical image processing; image reconstruction; ocean temperature; remote sensing; SMOS brightness temperature image; SMOS calibration parameter; SMOS land-sea contamination; Soil Moisture and Ocean Salinity; antenna temperature; correlator efficiency error impact; floor error; geophysical scenario; image reconstruction; interferometric synthesis; multiplicative error; robust SMOS calibration scheme; simple correction scheme; Antenna measurements; Antennas; Calibration; Ocean temperature; Sea measurements; Temperature measurement; Calibration; Soil Moisture and Ocean Salinity (SMOS); imaging; interferometry; radiometry;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2015.2428653
  • Filename
    7109874