• DocumentCode
    299089
  • Title

    Vegetation and soil characteristics in SIR-C data

  • Author

    van den Broek, A.C. ; Rijckenberg, G.J. ; Davidson, M. ; Freeman, A.

  • Author_Institution
    TNO-FEL, The Hague, Netherlands
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    1064
  • Abstract
    The authors compared polarimetric C- and L-band and ground truth data from bare soil, young wheat and mature maize fields of the agricultural test site Flevoland in the Netherlands collected during the SIR-C campaign in April and October 1994. The authors find that the L-band is more sensitive to the soil roughness than the C-band. In particular L-band HH gives the best discrimination between different degrees of soil roughness. The influence of young wheat with a ground cover of less than 25% is first noticeable in the C-band co-polarised correlation coefficient. By applying a decomposition technique to resolve different backscatter components in polarimetric data the authors find that the backscatter from mature maize fields is dominated by the vegetation in the C-band, while both the soil and vegetation contribute significantly to the backscatter in the L-band
  • Keywords
    agriculture; backscatter; geophysical techniques; radar applications; radar cross-sections; radar polarimetry; remote sensing by radar; soil; spaceborne radar; surface topography measurement; synthetic aperture radar; C-band; Flevoland Netherlands; L-band; SAR imaging; SIR; SIR-C; UHF SHF; agriculture crops; bare soil; geophysical measurement technique; ground truth; land surface; maize; microwave decimetric; radar polarimetry backscatter; radar remote sensing; radar scattering; roughness; soil characteristics; terrain mapping; vegetation; young wheat; Backscatter; Covariance matrix; Crops; L-band; Polarization; Production; Radar scattering; Soil; Soil measurements; Testing; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.521139
  • Filename
    521139