• DocumentCode
    2222016
  • Title

    Tropical forest structure estimation using polarimetric SAR tomography at P-band

  • Author

    Huang, Yue ; Ferro-Famil, Laurent ; Neumann, Maxim

  • Author_Institution
    Intermap Technol. Corp., Calgary, AB, Canada
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7593
  • Lastpage
    7596
  • Abstract
    This paper addresses the characterization of tropical forest structure by estimating their heights, underlying ground topography, vertical structure function and ground-to-volume ratio. The hybrid tomographic estimator can accurately estimate the tree top heights and the underlying topography. In order to separate the ground and volume contributions, model-based two-component fitting techniques are proposed to reconstruct the vertical structure function of forests. The proposed techniques are applied to P-Band Multi-baseline PolInSAR data acquired during the TropiSAR campaign over the test site of Paracou in French Guiana.
  • Keywords
    remote sensing by radar; vegetation; French Guiana; P-band; P-band multibaseline PolInSAR data; Paracou test site; TropiSAR campaign; forest vertical structure function; ground-to-volume ratio; hybrid tomographic estimator; model-based two-component fitting techniques; polarimetric SAR tomography; tree top heights; tropical forest structure estimation; underlying ground topography; vertical structure function; Estimation; Laser radar; Solid modeling; Surfaces; Synthetic aperture radar; Tomography; Vegetation;
  • 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.2012.6351870
  • Filename
    6351870