DocumentCode
576038
Title
Sea surface wind retrieval using both normalized radar cross section and polarization residual Doppler frequency from TerraSAR-X data
Author
Saïd, Faozi ; Johnsen, Harald
Author_Institution
Dept. of Phys. & Technol., Univ. of Tromso, Tromsø, Norway
fYear
2012
fDate
22-27 July 2012
Firstpage
2063
Lastpage
2066
Abstract
The polarization residual Doppler frequency (difference between the VV and HH Doppler centroids) is investigated as a valid parameter in a sea surface SAR wind retrieval scheme. This parameter along with the normalized radar cross section are used as inputs to two purely theoretical geophysical model functions based on the Generalized Curvature Ocean Surface Scattering model. A cost function minimization is implemented as part of the proposed wind retrieval method. The methodology is tested using 21 co-polarized TerraSAR-X scenes where retrieved winds are compared against collocated in situ measurements. A 5.23 degree bias along with a 45.3 degree standard deviation and 0.88 correlation are obtained for the wind direction comparison, while a 1.49 m/s bias, 2.36 m/s standard deviation, and 0.72 correlation are obtained for the wind speed comparison.
Keywords
Doppler radar; atmospheric boundary layer; atmospheric techniques; geophysical signal processing; minimisation; oceanography; radar signal processing; remote sensing by radar; synthetic aperture radar; velocity measurement; wind; TerraSAR-X data; VV-HH Doppler centroid difference; cost function minimization; generalized curvature ocean surface scattering model; normalized radar cross section; polarization residual Doppler frequency; sea surface SAR wind retrieval scheme; sea surface wind retrieval; theoretical geophysical model functions; wind speed comparison; Doppler effect; Mathematical model; Sea surface; Standards; Synthetic aperture radar; Wind speed; Doppler measurements; aperture radar; geophysical measurements; radar cross section; sea surface; synthetic;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350967
Filename
6350967
Link To Document