DocumentCode :
1165672
Title :
Comparison of SIR-B SAR wave image spectra with wave model predictions: implications on the SAR modulation transfer function
Author :
Monaldo, Frank M. ; Gerling, Thomas G. ; Tilley, David G.
Author_Institution :
Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
Volume :
31
Issue :
6
fYear :
1993
fDate :
11/1/1993 12:00:00 AM
Firstpage :
1199
Lastpage :
1209
Abstract :
During the Spaceborne Imaging Radar (SIR-B) mission in October 1984, the onboard synthetic aperture radar (SAR) acquired data in the vicinity of Hurricane Josephine. Ocean wave spectra computed from the SAR imagery are compared with Ocean Data Gathering Project (ODGP) model forecasts. Because the apparent propagation direction of the dominant wave system rotated over 90° along the pass, the data set affords a unique opportunity to observe the same wave system as imaged by different SAR mechanisms. It is shown that, for the SIR-B geometry, the wave numbers and propagation directions extracted from the wave spectra are not strongly dependent on the exact nature of the SAR imaging mechanism. However,the estimation of ocean significant wave height (SWH) requires accurate knowledge of such mechanisms. The spatial variation of SWH as estimated from SAR-derived wave spectra and ODGP model spectra compare most favorably when the phase of the hydrodynamic portion of the SAR modulation transfer function is approximately 90° past the long wave crest
Keywords :
ocean waves; oceanographic techniques; remote sensing by radar; synthetic aperture radar; AD 1984 10; Hurricane Josephine; ODGP; Ocean Data Gathering Project; SAR wave image spectra; SIR; SIR-B; Spaceborne Imaging Radar; apparent propagation direction; dominant wave; modulation transfer function; ocean wave; remote sensing; satellite measurement technique; significant wave height; storm wave; wave model; Data mining; Geometry; Hurricanes; Ocean waves; Phase estimation; Predictive models; Radar imaging; Radar polarimetry; Spaceborne radar; Synthetic aperture radar;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.317443
Filename :
317443
Link To Document :
بازگشت