• DocumentCode
    2606638
  • Title

    SSM/I-based surface temperature retrieval methods for boreal forest zone

  • Author

    Palliainen, J. ; Grandell, Jochen ; Hallikainen, Martti

  • Author_Institution
    Lab. of Space Technol., Helsinki Univ. of Technol., Espoo, Finland
  • Volume
    4
  • fYear
    1996
  • fDate
    27-31 May 1996
  • Firstpage
    2110
  • Abstract
    Novel inversion methods for the retrieval of surface temperature (air temperature at ground level) in forested areas using space-borne multi-channel microwave radiometer data are presented and analyzed. The first technique is an inversion method based on the use of a semi-empirical emission model. The other methods discussed are empirical approaches: multiple linear regression and polarization difference formulas. The methods are evaluated in the case of Finnish boreal forests. The results show that for conifer dominated boreal forests the surface temperature can be estimated reliably from SSM/I measurements during snow-free conditions. The highest test site-wise correlation coefficients (r) between the ground-based reference values and the SSM/I-based estimates are above 0.97 and the corresponding unbiased rms errors are smaller than 1.3°C
  • Keywords
    atmospheric boundary layer; atmospheric techniques; atmospheric temperature; microwave measurement; millimetre wave measurement; radiometry; remote sensing; EHF; SHF; SSM/I; air temperature; atmosphere; boreal forest; boundary layer; conifer; inversion method; measurement technique; meteorolgy; microwave radiometry; mm wave; retrieval; satellite remote sensing; surface layer temperature; vegetation; Information retrieval; Laboratories; Lakes; Land surface temperature; Linear regression; Microwave technology; Polarization; Snow; Space technology; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
  • Conference_Location
    Lincoln, NE
  • Print_ISBN
    0-7803-3068-4
  • Type

    conf

  • DOI
    10.1109/IGARSS.1996.516904
  • Filename
    516904