SAR POLARIMETRIC FEATURES OF AGRICULTURAL AREAS (Articolo in rivista)

Type
Label
  • SAR POLARIMETRIC FEATURES OF AGRICULTURAL AREAS (Articolo in rivista) (literal)
Anno
  • 1995-01-01T00:00:00+01:00 (literal)
Alternative label
  • S. Baronti, F. Del Frate, P. Ferrazzoli, S. Paloscia, P. Pampaloni and G. Schiavon (1995)
    SAR POLARIMETRIC FEATURES OF AGRICULTURAL AREAS
    in International journal of remote sensing (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • S. Baronti, F. Del Frate, P. Ferrazzoli, S. Paloscia, P. Pampaloni and G. Schiavon (literal)
Pagina inizio
  • 2639 (literal)
Pagina fine
  • 2656 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=CitationReport&qid=4&SID=R25oCaeo68@i25Mm1d2&page=2&doc=11 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 16 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 18 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 14 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Baronti, Paloscia, Pampaloni: IFAC-CNR; Del Frate, Ferrazzoli, Schiavon Dip. Ingegneria Elettronica, Univ. Tor Vergata. (literal)
Titolo
  • SAR POLARIMETRIC FEATURES OF AGRICULTURAL AREAS (literal)
Abstract
  • The potential of synthetic aperture radar (SAR) in monitoring soil and vegetation parameters is being evaluated in extensive investigations, worldwide. A significant experiment on this subject, the Multi-sensor Airborne Campaign (MAC 91), was carried out in the summer of 1991 on several sites in Europe, based on the NASA/JPL polarimetric synthetic aperture radar (AIRSAR). The site of Montespertoli (Italy) was imaged three times during this campaign at P-, L-, and C-band and at different incidence angles between 20 degrees and 50 degrees. Calibrated full polarimetric data collected over the agricultural area of this site have been analysed and a critical analysis of the information contained in linear and circular co-polar and cross-polar data has also been carried out. Here a guideline for the formulation of crop discrimination algorithms is suggested. It has been found that P-band data are rather effective only in discriminating broad classes of agricultural landscape, while finer detail can be obtained by integrating data at L- and C-bands. Indeed at L-band well developed 'broad leaf' crops can be separated from the others, whereas at C-band discrimination seems feasible in the case of moderate growth as well. Finally the sensitivity of backscattering coefficient to soil moiture and vegetation biomass is discussed. (literal)
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