• DocumentCode
    3349015
  • Title

    Monitoring grasslands with radarsat 2 quad-pol imagery

  • Author

    Buckley, Joseph R. ; Smith, Anne M.

  • Author_Institution
    Dept. of Phys., R. Mil. Coll. of Canada, Kingston, ON, Canada
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    3090
  • Lastpage
    3093
  • Abstract
    Radarsat 2 quad polarization imagery has been used to study the effectiveness of polarimetric radar to monitor the extent and health of prairie grasslands in southern Alberta, Canada. In this report of preliminary findings, the imagery is shown to be effective in the separation of cropped lands from rangelands, and in the separation of native grasslands and improved pastures. Classification was more accurate using Freeman-Durden decomposition parameters than using Cloude-Pottier parameters. Incidence angle differeces were noted and use of multiple angles in classification improved accuracy. In a second part of the study, it was shown that polarimetric imagery was capable of identifying weeds and brush growing in native rangland, and in separating different kinds of brush and weeds. Validated sample sets were too small to allow proper accuracy assessment, but a `performance metric´ showed that accuracy would be improved by use of multiple incidence angles, and by the use of Freeman-Durden or coherency matrix parameters.
  • Keywords
    geophysical image processing; radar polarimetry; vegetation mapping; Canada; Cloude-Pottier parameters; Freeman-Durden decomposition parameters; Radarsat 2 quad polarization imagery; brush; coherency matrix parameters; incidence angle differeces; multiple angles; multiple incidence angles; native rangland; pastures; performance metric; polarimetric imagery; polarimetric radar; prairie grasslands; southern Alberta; weeds; Accuracy; Agriculture; Radar imaging; Radar polarimetry; Scattering; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5652367
  • Filename
    5652367