• DocumentCode
    3297595
  • Title

    A Novel Methodology for Parameter Retrieval from Multi-temporal Data Demonstrated for Forest Biomass Retrieval from C-band SAR Backscatter

  • Author

    Wegmuller, Urs ; Santoro, Maurizio ; Wiesmann, Andreas

  • Author_Institution
    Gamma Remote Sensing AG, Gumligen
  • fYear
    2007
  • fDate
    18-20 July 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A methodology for parameter retrieval from multi-temporal Earth observation data is proposed and applied to forest biomass retrieval from C-band SAR backscatter. The potential of single observation C-band SAR data to map forest biomass is limited mainly due to a low sensitivity and the dependence of C-band scattering on many other parameters. In this contribution a methodology to retrieve forest biomass from multi-temporal C-band SAR observations is presented. The method was applied to map forest biomass over a large area in Central Siberia using significant stacks of ENVISAT ASAR Wide-Swath data. The resulting forest biomass map is assessed by comparison with available inventory data. The quality achieved appears very promising.
  • Keywords
    geophysical techniques; radar cross-sections; remote sensing by radar; synthetic aperture radar; vegetation; C-band SAR backscatter; Central Siberia; ENVISAT ASAR Wide-Swath data; forest biomass map; forest biomass retrieval; multi-temporal Earth observation data; Backscatter; Biomass; Earth; Information retrieval; Interferometry; Phase noise; Remote sensing; Soil; Stacking; Vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007. International Workshop on the
  • Conference_Location
    Leuven
  • Print_ISBN
    1-4244-0846-6
  • Electronic_ISBN
    1-4244-0846-6
  • Type

    conf

  • DOI
    10.1109/MULTITEMP.2007.4293067
  • Filename
    4293067