• DocumentCode
    1248133
  • Title

    The potential of multifrequency polarimetric SAR in assessing agricultural and arboreous biomass

  • Author

    Ferrazzoli, P. ; Paloscia, S. ; Pampaloni, P. ; Schiavon, G. ; Sigismondi, S. ; Solimini, D.

  • Author_Institution
    Dipartimento di Inf. Sistemi e Produzione, Tor Vergata Univ., Rome, Italy
  • Volume
    35
  • Issue
    1
  • fYear
    1997
  • fDate
    1/1/1997 12:00:00 AM
  • Firstpage
    5
  • Lastpage
    17
  • Abstract
    Polarimetric radar data collected by AIRSAR and SIR-C over agricultural fields, forests, and olive groves of the Italian Montespertoli site are analyzed. The objective is to investigate the radar capability in discriminating among various vegetation species and its sensitivity to agricultural and arboreous biomass. Results indicate that a combined use of P(0.45 GHz) and L- (1.2 GHz) bands allows one to discriminate between agricultural fields and other targets, while a combined use of L- and C- (5.3 GHz) bands allows the authors to discriminate within agricultural areas. To monitor biomass, P-band gives the best results for forests and olive groves, L-band appears to be good for crops with low plant density (m-2), while for crops with high plant density, both L- and C-bands are useful. The availability of crosspolarized data is important for both classification and biomass retrieval
  • Keywords
    agriculture; airborne radar; forestry; geophysical techniques; radar imaging; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; 0.45 GHz; 1.2 GHz; 5.3 GHz; AIRSAR an; C-band; Italian Montespertoli site; Italy; L-band; P-band; SHF; SIR-C; UHF; agriculture; airborne radar; arboreous biomass; crops; forest; forestry; geophysical measurement technique; image classification; multifrequency polarimetric SAR; olive grove; radar polarimetry; radar remote sensing; spaceborne radar; vegetation mapping; vegetation species discrimination; Biomass; Crops; Frequency; Information retrieval; Radar polarimetry; Remote monitoring; Soil; Spaceborne radar; Synthetic aperture radar; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.551929
  • Filename
    551929