DocumentCode
828843
Title
Measurement of ocean surface winds using synthetic aperture radars
Author
Horstmann, Jochen ; Koch, Wolfgang
Author_Institution
GKSS Res. Center, Geesthacht, Germany
Volume
30
Issue
3
fYear
2005
fDate
7/1/2005 12:00:00 AM
Firstpage
508
Lastpage
515
Abstract
A methodology for retrieving high-resolution ocean surface wind fields from satellite-borne synthetic aperture radar (SAR) data is introduced and validated. The algorithms developed are suited for ocean SAR data, which were acquired at the C band of either vertical (VV) or horizontal (HH) polarization in transmission and reception. Wind directions are extracted from wind-induced streaks that are visible in SAR images of the ocean at horizontal scales greater than 200 m. These wind streaks are very well aligned with the mean surface wind direction. To extract the orientation of these streaks, two algorithms are introduced, which are applied either in the spatial or spectral domain. Ocean surface wind speeds are derived from the normalized radar cross section (NRCS) and image geometry of the calibrated SAR images, together with the local SAR-retrieved wind direction. Therefore, several C-band models (CMOD IFR2, CMOD4, and CMODS) are available, which were developed for VV polarization, and have to be extended for HH polarization. To compare the different algorithms and C-band models as well as demonstrate their applicability, SAR-retrieved wind fields are compared to numerical-model results considering advanced SAR (ASAR) data from Environmental Satellite (ENVISAT), a European satellite.
Keywords
atmospheric boundary layer; atmospheric techniques; meteorological radar; ocean waves; radar imaging; radar polarimetry; wind; C band; SAR; ocean surface winds; polarization; synthetic aperture radars; wind directions; wind streaks; Data mining; Information retrieval; Oceans; Polarization; Radar cross section; Satellites; Sea measurements; Sea surface; Synthetic aperture radar; Wind speed; Ocean winds; polarization ratio (PR); radar backscatter; remote sensing; synthetic aperture radar (SAR);
fLanguage
English
Journal_Title
Oceanic Engineering, IEEE Journal of
Publisher
ieee
ISSN
0364-9059
Type
jour
DOI
10.1109/JOE.2005.857514
Filename
1593798
Link To Document