• DocumentCode
    2401852
  • Title

    Sea Surface Salinity Retrieval Throughout a SMOS Half-Orbit Using Neural Networks

  • Author

    Ammar, A. ; Labroue, S. ; Obligis, E. ; Mejia, C. ; Thiria, S. ; Crépon, M.

  • Author_Institution
    CLS
  • fYear
    2006
  • fDate
    2006
  • Firstpage
    103
  • Lastpage
    108
  • Abstract
    This article explains the way to resolve one of the main difficulties of using neural networks to retrieve the ocean salinity from SMOS observations. By designing a set of networks which inputs are adapted to the variability of SMOS incidence angles, we are able to process practically any point on the ocean surface
  • Keywords
    neural nets; oceanographic techniques; seawater; SMOS half-orbit; SMOS incidence angles; neural networks; ocean salinity retrieval; sea surface salinity retrieval; Brightness temperature; Earth; Neural networks; Ocean salinity; Ocean temperature; SMOS mission; Sea measurements; Sea surface; Sea surface salinity; Soil moisture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IEEE MicroRad, 2006
  • Conference_Location
    SanJuan
  • Print_ISBN
    0-7803-9417-8
  • Type

    conf

  • DOI
    10.1109/MICRAD.2006.1677071
  • Filename
    1677071
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2401852