• DocumentCode
    3348972
  • Title

    Estimation of forest biomass and soil moisture in boreal forests employing ERS-1 SAR data

  • Author

    Pulliainen, Jouni ; Mikkelä, Petri ; Hallikainen, Martti ; Tomppo, Erkki

  • Author_Institution
    Lab. of Space Technol, Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    2035
  • Abstract
    The results obtained in the retrieval of forest stem volume (forest biomass) and soil moisture using multi-temporal ERS-1 SAR data are presented. A novel inversion method for interpreting the ERS-1 SAR data is employed. The method is tested in conditions of Finland. The inversion technique is based on the use of (1) multi-temporal ERS-1 SAR data, (2) reference sample plot information and (3) a semi-empirical forest backscattering model. It is shown that multi-temporal ERS-1 SAR images can be successfully used for estimating the forest stem volume. The effect of soil moisture has been analyzed using hydrological soil moisture model-based results as a reference. The results indicate that the soil moisture of a forest area can be determined from an ERS-1 image
  • Keywords
    backscatter; electromagnetic wave scattering; forestry; geophysical signal processing; geophysical techniques; hydrological techniques; inverse problems; moisture measurement; parameter estimation; radar cross-sections; radar imaging; remote sensing by radar; soil; spaceborne radar; synthetic aperture radar; ERS-1 SAR data; Finland; boreal forests; forest biomass; forest stem volume; inversion method; reference sample plot information; semi-empirical forest backscattering model; soil moisture; Area measurement; Backscatter; Biomass; Information retrieval; Radar imaging; Radar scattering; Soil measurements; Soil moisture; Space technology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.524101
  • Filename
    524101