• DocumentCode
    299060
  • Title

    Crop type identification and biomass estimation by SAR

  • Author

    de Matthaeis, P. ; Ferrazzoli, P. ; Schiavon, G. ; Solimini, D.

  • Author_Institution
    Dept. di Ingegneria Elettronica, Tor Vergata Univ., Rome, Italy
  • Volume
    2
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    957
  • Abstract
    AIRSAR data collected over-agricultural fields of the Italian Montespertoli site have been analyzed. Results indicate that a combined use of L- and C-bands allows discrimination between low density and high density crops. To monitor biomass, L-band is more effective for crops with low plant density, while C-band is better for high plant density crops. HV, circular copolar and 45° crosspolar polarizations are important for biomass retrieval
  • Keywords
    agriculture; airborne radar; geophysical techniques; radar applications; remote sensing by radar; synthetic aperture radar; AIRSAR; C-band; Italy; L-band; Montespertoli; SAR; UHF SHF; agriculture; airborne radar; biomass estimation; biomass retrieval; crop type identification; crops; crosspolar polarization; farmland; geophysical measurement technique; image classification; radar polarimetry; radar remote sensing; rural area; vegetation mapping; Biomass; Biosensors; Crops; L-band; Microwave sensors; Monitoring; Polarization; Radar applications; Radar remote sensing; Remote monitoring; Soil moisture; 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.1995.521107
  • Filename
    521107