• DocumentCode
    2675161
  • Title

    ERS-1 SAR backscatter modeling and interpretation of sea ice signatures

  • Author

    Askne, J. ; Carlstrom, A. ; Dierking, W. ; Ulander, L.

  • Author_Institution
    Dept. of Radio & Space Sci., Chalmers Univ. of Technol., Goteborg, Sweden
  • Volume
    1
  • fYear
    1994
  • fDate
    8-12 Aug 1994
  • Firstpage
    162
  • Abstract
    The sea ice backscatter signature observed in images of the ERS-1 SAR depends on a large number of geophysical parameters, some of which may vary considerably. Backscatter modeling is a useful tool, to investigate the sensitivity of radar signatures to various ice properties. Scattering models must be developed on the basis of ground based radar observations which are linked with ice characterization measurements. Results of model simulations help to specify constraints on observations using a single-frequency single polarization SAR as the one onboard ERS-1. This presentation will illustrate various sea ice conditions using backscatter modeling for the interpretation
  • Keywords
    backscatter; electromagnetic wave scattering; oceanographic techniques; radar applications; radar cross-sections; remote sensing; remote sensing by radar; sea ice; spaceborne radar; synthetic aperture radar; ERS-1; SAR; backscatter modelling; measurement technique; model; ocean; radar remote sensing; radar scattering; radiowave reflection; satellite; sea ice; sea ice signature; sea surface; synthetic aperture radar; Backscatter; Optical scattering; Radar scattering; Remote sensing; Rough surfaces; Scanning probe microscopy; Sea ice; Snow; Space technology; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
  • Conference_Location
    Pasadena, CA
  • Print_ISBN
    0-7803-1497-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1994.399068
  • Filename
    399068