• DocumentCode
    2233422
  • Title

    Specific biomass indicator for tropical dense forests over hilly terrains derived from the P-band SAR coherency matrix

  • Author

    Villard, Ludovic ; Toan, Thuy Le ; Lasne, Yannick ; Mermoz, Stéphane

  • Author_Institution
    CESBIO, Toulouse, France
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5344
  • Lastpage
    5347
  • Abstract
    Forest biomass retrieval using P-band SAR data has been demonstrated during the past 2 decades. However, little effort has been made to recover biomass in tropical forests, with biomass values typically ranges from 250 to 500 t/ha. In this high range of biomass, the radar backscatter coefficients exhibit poor sensitivity to biomass, which is often obscured by perturbing effects. The most important effect is caused by topography, which needs to be corrected before biomass inversion. In this work, we develop a new backscatter coefficient called t0 to account for (a) the non reflection symmetry of the forests in case of slopes and (b) the change in angular variation of the backscatter following the change of scattering mechanisms due to slopes. The method is tested on TropiSAR campaign data at two forest sites in French Guiana. The results shows the relevance of proposed correction methods to reduce the effects of topography in dense forests.
  • Keywords
    geophysical image processing; remote sensing by radar; synthetic aperture radar; topography (Earth); vegetation mapping; French Guiana; P-band SAR coherency matrix; P-band SAR data; TropiSAR campaign data; biomass inversion; biomass values; correction methods; forest biomass retrieval; forest sites; hilly terrains; nonreflection symmetry; perturbing effects; radar backscatter coefficients; scattering mechanisms; specific biomass indicator; topography; tropical dense forests; Backscatter; Biomass; Scattering; Surfaces; Synthetic aperture radar; Vectors; P-band SAR polarimetric intensities; Sensitivity to Forest Biomass; Topography effects;
  • 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.2012.6352400
  • Filename
    6352400