DocumentCode :
2118641
Title :
High resolution wind fields retrieved from SAR in comparison to numerical models
Author :
Horstmann, Jochen ; Koch, Wolfgang ; Lehner, Susanne
Author_Institution :
GKSS Res. Center, Geesthacht, Germany
Volume :
3
fYear :
2002
fDate :
24-28 June 2002
Firstpage :
1877
Abstract :
An algorithm is introduced, which is designed to retrieve high-resolution wind fields from C-band synthetic aperture radars (SARs) operating at vertical or horizontal polarization. Wind directions are extracted from wind-induced streaks, which are approximately in line with the mean wind direction near to the ocean surface. Wind speeds are derived from the normalized radar cross section (NRCS) and image geometry of the calibrated SAR data, together with the prior retrieved wind direction. Therefore the semi empirical C-band model CMOD4, which describes the dependency of the NRCS on wind and image geometry, is used. CMOD4 was originally developed for the scatterometer of the European remote sensing satellites ERS-1 and ERS-2 operating at C-band with vertical polarization. Consequently CMOD4 requires modification for horizontal polarization, which is performed by considering the polarization ratio. To verify the algorithm, wind fields were computed from 159 ERS SAR and 20 RADARSAT-1 ScanSAR images and compared to co-located results from the numerical models REMO and HIRLAM.
Keywords :
atmospheric techniques; radar polarimetry; remote sensing by radar; synthetic aperture radar; wind; C-band model CMOD4; C-band synthetic aperture radars; ERS SAR images; HIRLAM; RADARSAT-1 ScanSAR images; REMO; calibrated SAR data; high resolution wind fields retrieval algorithm; horizontal polarization; image geometry; mean wind direction; normalized radar cross section; numerical models comparison; ocean surface; vertical polarization; wind speeds; wind-induced streaks; Algorithm design and analysis; Data mining; Geometry; Numerical models; Oceans; Polarization; Radar cross section; Sea surface; Synthetic aperture radar; Wind speed;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
Type :
conf
DOI :
10.1109/IGARSS.2002.1026285
Filename :
1026285
Link To Document :
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