• DocumentCode
    3529794
  • Title

    Forest parameters inversion using Polarimetric and Interferometric SAR data

  • Author

    Lavalle, M. ; Solimini, D. ; Pottier, E. ; Desnos, Y.-L.

  • Author_Institution
    DISP Dept., Tor Vergata Univ., Rome, Italy
  • Volume
    4
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    In this paper we discuss some aspects of the forest height estimation using Polarimetric and Interferometric (POLINSAR) SAR data. Three main issues limit the inversion of the POLINSAR coherence from repeat-pass POLINSAR systems: temporal decorrelation, terrain slope distortions and effects of wave penetration. We show that, if temporal decorrelation is not severe, the distortions due to terrain slope can be removed and the wave penetration can be compensated using the predictions of the scattering simulator PolSARProSIM. A detailed procedure that applies to any POLINSAR data is presented and illustrated using ALOS/PALSAR data and the SRTM digital elevation model (DEM).
  • Keywords
    decorrelation; digital elevation models; geophysical signal processing; radar interferometry; radar polarimetry; remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; ALOS PALSAR data; PolInSAR coherence; PolSARProSIM; SRTM digital elevation model; forest height estimation; forest parameters inversion; polarimetric and interferometric SAR data; repeat-pass PolInSAR system; scattering simulator; temporal decorrelation; terrain slope distortions; wave penetration; Biomass; Biosensors; Coherence; Decorrelation; Digital elevation models; Information retrieval; Interferometry; Polarization; Predictive models; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5417355
  • Filename
    5417355