• DocumentCode
    1133547
  • Title

    Forest Biophysical Parameter Estimation Using L- and P-Band Polarimetric SAR Data

  • Author

    Garestier, Franck ; Dubois-Fernandez, Pascale C. ; Guyon, Dominique ; Le Toan, Thuy

  • Author_Institution
    Continental & Coastal Morphodynamic Lab., Univ. de Caen-Basse Normandie, Caen, France
  • Volume
    47
  • Issue
    10
  • fYear
    2009
  • Firstpage
    3379
  • Lastpage
    3388
  • Abstract
    L- and P-band airborne polarimetric synthetic aperture radar (SAR) data acquired by the RAMSES system over different height maritime pine (Pinus Pinaster Ait.) stands of the Nezer forest (Landes, France) have been evaluated for forest biophysical parameter estimation. A pseudolinear correlation has been brought to evidence at P-band between polarimetric anisotropy and mean tree height, which is also linked to other biophysical parameters in the Nezer forest, meaning that SAR polarimetry constitutes a promising tool for forest parameter retrieval at low frequency. The spatial conditions have been evaluated through the quantification of the impact of signal-to-noise ratio diminution and resolution degradation on the forest height inversion. It has been shown that the inversion accuracy remains acceptable for N Esigma0, representing the noise level of the SAR image, which is lower than -15 dB, and for spatial resolution increasing up to 15 m.
  • Keywords
    airborne radar; data acquisition; image processing; radar polarimetry; synthetic aperture radar; vegetation; France; L-band polarimetric SAR data; Landes; Nezer forest; P-band polarimetric SAR data; Pinus Pinaster Ait; RAMSES system; SAR image; airborne polarimetric synthetic aperture radar; data acquisition; forest biophysical parameter estimation; forest height inversion; height maritime pine stands; pseudolinear correlation; signal-to-noise ratio; spatial resolution; tree height; Forestry; polarimetric radar; synthetic aperture radar (SAR);
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2022947
  • Filename
    5164921