• DocumentCode
    575926
  • Title

    On the estimation of forest vertical structure from multibaseline polarimetric SAR data

  • Author

    Pardini, M. ; Caicoya, A. Toraño ; Kugler, F. ; Lee, S.-K. ; Hajnsek, I. ; Papathanassiou, K.

  • Author_Institution
    Microwave & Radar Inst., German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    3443
  • Lastpage
    3446
  • Abstract
    Forest characterization and biomass estimation by means of remote sensing systems are nowadays “hot topics” within the remote sensing community, given their importance in the terrestrial carbon budget. In fact, forest vertical structure is a key variable for assessing biodiversity and structural degradation and/or regeneration. Moreover, the (vertical) structure information is important as it can allow the development of accurate and robust (alometric) estimators of the forest biomass. In this paper, potentials and challenges of forest vertical structure estimation with low frequency multibaseline polarimetric synthetic aperture radar are reviewed and discussed.
  • Keywords
    geophysical image processing; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation mapping; biodiversity; biomass estimation; forest biomass; forest characterization; forest vertical structure estimation; low frequency multibaseline polarimetric synthetic aperture radar; multibaseline polarimetric SAR data; remote sensing community; remote sensing systems; structural degradation; structural regeneration; structure information; terrestrial carbon budget; Coherence; Estimation; L-band; Synthetic aperture radar; Tomography; Synthetic aperture radar (SAR); forest structure; parameter inversion; polarimetry; spectral estimation; tomography;
  • 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.2012.6350680
  • Filename
    6350680