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
Link To Document :
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