• DocumentCode
    576460
  • Title

    Radar and optical modelling of forest remote sensing

  • Author

    Albinet, C. ; Borderies, P.

  • Author_Institution
    Dept. Electromagn. et Radar, Office Nat. d´´Etudes et de Rech. Aerospatiales (ONERA), Toulouse, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    7181
  • Lastpage
    7184
  • Abstract
    This paper describes a parallel model which goal is to carry out sensibility studies on simulated radar and optical remote sensing forest data. It presents how the model has been set up, with a forest growth model as an input of an optical hyperspectral model and a Synthetic Aperture Radar (SAR) model. The first results obtained by both models outputs are presented and a fusion of these output has been made and shows a complementarity of radar and optical data for biomass and moisture content inversions of forests.
  • Keywords
    atmospheric optics; forestry; geophysical signal processing; inverse problems; optical radar; remote sensing by radar; synthetic aperture radar; SAR model; biomass content inversions; forest growth model; forest remote sensing optical modelling; forest remote sensing radar modelling; moisture content inversions; optical hyperspectral model; parallel model; simulated optical remote sensing forest data; simulated radar remote sensing forest data; synthetic aperture radar model; Biological system modeling; Biomass; Biomedical optical imaging; Laser radar; Moisture; Optical sensors; Remote sensing; biomass; forest electromagnetic scattering; forest height estimation; hyperspectral simulation; moisture content estimation; radar polarimetry; radar simulation;
  • 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.2012.6352006
  • Filename
    6352006