• DocumentCode
    1469654
  • Title

    The relationship between the backscattering coefficient and the biomass of narrow and broad leaf crops

  • Author

    Macelloni, Giovanni ; Paloscia, Simonetta ; Pampaloni, Paolo ; Marliani, Filippo ; Gai, Marco

  • Author_Institution
    Istituto di Ricerca sulle Onde Elettromagnetiche, CNR, Firenze, Italy
  • Volume
    39
  • Issue
    4
  • fYear
    2001
  • fDate
    4/1/2001 12:00:00 AM
  • Firstpage
    873
  • Lastpage
    884
  • Abstract
    The influence of the shape and dimensions of plant constituents on the backscattering of agricultural vegetation is investigated. Multifrequency multitemporal polarimetric data, collected at C- and L-bands by means of airborne and satellite synthetic aperture radar (SAR), showed that the relations between the backscattering of crops and the vegetation biomass depend on plant type, and that there are different trends for “narrow” and “broad” leaf crops. In the latter crops, backscattering increases with an increase in the biomass, especially at L-band. This behavior is typical of media in which scattering is dominant, whereas on “narrow leaf” plants, the trend is flat or decreasing, denoting a major contribution of absorption. Theoretical simulations obtained with a discrete element radiative transfer model have confirmed that a different backscattering of crops with the same biomass may be due to plant geometry
  • Keywords
    agriculture; backscatter; geophysical techniques; radar cross-sections; remote sensing by radar; spaceborne radar; synthetic aperture radar; vegetation mapping; C-band; L-band; SAR; SHF; UHF; agriculture; backscattering coefficient; biomass; broad leaf crops; crop; dimensions; geophysical measurement technique; narrow leaf crops; plant geometry; plant type; radar remote sensing; radar scattering; shape; spaceborne radar; synthetic aperture radar; vegetation mapping; Backscatter; Biomass; Crops; L-band; Plants (biology); Satellites; Shape; Solid modeling; Synthetic aperture radar; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.917914
  • Filename
    917914