• DocumentCode
    142870
  • Title

    Biomass of dense forests related to L-band SAR backscatter?

  • Author

    Mermoz, S. ; Rejou-Mechain, M. ; Villard, L. ; Le Toan, T. ; Rossi, V. ; Gourlet-Fleury, S.

  • Author_Institution
    CESBIO, Univ. of Paul Sabatier, Toulouse, France
  • fYear
    2014
  • fDate
    13-18 July 2014
  • Firstpage
    1037
  • Lastpage
    1040
  • Abstract
    Synthetic aperture radar (SAR) is one of the most promising remote sensor to map forest carbon. The unique spaceborne and long-wavelength SAR data currently available are L-band data, but their relationship with forest biomass is still under controversy, particularly for high biomass values. While many studies assume a complete loss of sensitivity above a saturation point, typically around 100 t.ha-1, others assume a continuous positive correlation between SAR backscatter and biomass. The objective of this paper is to revisit the relationship between L-band SAR backscatter and dense tropical forest biomass for a large range of biomass values, using both theoretical and experimental approaches. Both approaches revealed that after reaching a maximum value, SAR backscatter correlates negatively with forest biomass. This phenomenon is interpreted as a signal attenuation from the forest canopy as the canopy becomes denser. This result has strong implication for L-band vegetation mapping as it can lead to a more-than-expected biomass under-estimation.
  • Keywords
    remote sensing by radar; synthetic aperture radar; vegetation; vegetation mapping; L-band SAR backscatter; L-band data; L-band vegetation mapping; biomass values; dense forest biomass; dense tropical forest biomass; forest canopy; forest carbon map; long-wavelength SAR data; sensitivity loss; signal attenuation; synthetic aperture radar; Backscatter; Biomass; Carbon; Estimation; L-band; Synthetic aperture radar; Vegetation; ALOS PALSAR; Carbon mapping; Tropical forest;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
  • Conference_Location
    Quebec City, QC
  • Type

    conf

  • DOI
    10.1109/IGARSS.2014.6946605
  • Filename
    6946605