• DocumentCode
    2206162
  • Title

    Sensitivity analysis of compact polarimetry parameters to crop growth using simulated RADARSAT-2 SAR data

  • Author

    Shang, Jiali ; McNairn, Heather ; Charbonneau, Francois ; Chen, Zhaohua ; Jiao, Xianfeng

  • Author_Institution
    Agric. & Agri-Food Canada, Ottawa, ON, Canada
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1825
  • Lastpage
    1828
  • Abstract
    The availability of advanced satellite radar sensors (C-band RADARSAT-2 and X-band TerraSAR-X) provides significant opportunities for timely monitoring of crop growth. Recent studies revealed that many polarimetric SAR parameters are sensitive to crop Leaf Area Index (LAI). However the reduced swath coverage of fully polarimetric SAR limits the operational application of these modes for large regional monitoring activities. Compact polarimetry mode, on the other hand, permits much larger swath coverage than fully polarimetric SAR. This study investigates the sensitivity of compact polarimetry SAR parameters to crop LAI using simulated data from RADARSAT-2 imagery collected in Canada over two growing seasons. Results revealed that compact polarimetric decomposition parameters associated with volumetric scattering are well correlated with crop LAI. This suggests that compact polarimetric SAR can be an important data source for large scale crop growth monitoring.
  • Keywords
    crops; radar polarimetry; remote sensing by radar; sensitivity analysis; vegetation mapping; C-band satellite radar sensor; Canada; TerraSAR-X; X-band satellite radar sensor; advanced satellite radar sensors; compact polarimetry mode; compact polarimetry parameters; crop growth monitoring; crop leaf area index; growing seasons; polarimetric SAR parameters; sensitivity analysis; simulated RADARSAT-2 SAR data; swath coverage; Agriculture; Correlation; Monitoring; Polarimetry; Scattering; Sensitivity; Synthetic aperture radar; RADARSAT-2; compact polarimetry; crop LAI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351156
  • Filename
    6351156