• DocumentCode
    576391
  • Title

    Relating tropical forest biomass to P-band SAR tomography

  • Author

    Dinh, H.T.M. ; Rocca, F. ; Tebaldini, S. ; Alessandro, M. Mariotti d ; Toan, T. Le ; Villard, L.

  • Author_Institution
    DEI, Politec. di Milano, Milan, Italy
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7589
  • Lastpage
    7592
  • Abstract
    The retrieval of above-ground biomass in dense tropical forests using Synthetic Aperture Radar (SAR) images is widely recognized as a challenging task, because of the backscatter saturation effect at high biomass values and the ground topography effect. The study presented in this paper is an attempt to overcome these issues based on direct three-dimensional imaging of the forest volume, which is possible through multi-baseline SAR tomography. In this way, forest biomass can be investigated by considering not only the backscattered power at each slant range, azimuth location, but also its vertical distribution. It was found that the power from the a layer at 30m ± 10m above the ground yields the best correlation and best sensitivity with forest biomass in all polarizations, for biomass ranging from 250 to 450 tons/ha.
  • Keywords
    remote sensing by radar; synthetic aperture radar; vegetation; P-band SAR tomography; SAR images; above-ground biomass retrieval; dense tropical forests; forest volume three-dimensional imaging; ground topography effect; high biomass values; multibaseline SAR tomography; synthetic aperture radar; tropical forest biomass; Backscatter; Biomass; Correlation; Scattering; Surfaces; Synthetic aperture radar; Tomography; P-band SAR tomography; Synthetic Aperture Radar; forest vertical structure; tropical forest biomass;
  • 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.2012.6351871
  • Filename
    6351871