• DocumentCode
    677546
  • Title

    Estimation of forest biomass from L-band polarimetric decomposition components

  • Author

    Tanase, Mihai A. ; Panciera, Rocco ; Lowell, Kim ; Hacker, Jorg ; Walker, Jeffrey P.

  • Author_Institution
    Cooperative Res. Centre for Spatial Inf., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    949
  • Lastpage
    952
  • Abstract
    Using an airborne L-band system the impact of increased spatial resolution and a fully polarized sensor on biomass retrieval was investigated. A water cloud type model was used to retrieve biomass from backscatter intensities and polarimetric target decomposition components. The analysis revealed similar biomass estimation errors (around 60%) when using backscatter intensity and polarimetric decomposition metrics. These results indicate that fully polarized L-band missions would not significantly improve the accuracy of biomass estimation using existing modelling approaches. New methods, such as polarimetric interferometry, have to be perfected and tested over a wide range of conditions to take advantage of their increased capabilities.
  • Keywords
    radar polarimetry; remote sensing by laser beam; remote sensing by radar; vegetation; L-band polarimetric decomposition components; airborne L-band system; backscatter intensities; biomass estimation errors; biomass retrieval; forest biomass estimation; polarimetric decomposition metrics; polarimetric target decomposition components; polarized L-band missions; water cloud type model; Backscatter; Biological system modeling; Biomass; Estimation error; Measurement; Synthetic aperture radar; Biomass estimation; L-band SAR; polarimetric target decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6721318
  • Filename
    6721318