DocumentCode
484046
Title
RADARSAT ScanSAR Wind Retrieval and Rain Effects on ScanSAR Measurements Under Hurricane Conditions
Author
Nie, Congling ; Long, David G.
Author_Institution
Electr. & Comput. Eng. Dept., Brigham Young Univ., Provo, UT
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
RADARSAT-1 ScanSAR SWA images of Hurricane Katrina are used to retrieve surface wind vectors over the ocean. Collocated H*wind wind directions are used as the wind direction while the wind speed is derived from SAR sigmadeg by inversion of a C-band HH-polarization Geophysical Model Function (GMF) that is derived from the VV-polarization GMF, CMOD5, using a polarization ratio model. Because existing polarization models do not fit the ScanSAR SWA data well, a recalibration model is proposed to "recalibrate" the ScanSAR SWA images. Validated with collocated H*wind wind speed estimates, the mean difference between SAR-retrieved and H*wind speed is small and the root mean square (RMS) error is below 4 m/s. Rain effects on the ScanSAR measurements are analyzed for an incidence angle range of 22deg to 23.6deg using collocated ground-based Doppler weather radar (NEXRAD) rain measurements.
Keywords
Doppler radar; meteorological radar; rain; remote sensing by radar; storms; wind; C-band HH- polarization Geophysical Model Function; CMOD5; Hurricane Katrina; NEXRAD surface rain rate; RADARSAT-1 ScanSAR SWA images; VV-polarization Geophysical Model Function; ground-based Doppler weather radar; polarization ratio model; rain measurements; recalibration model; retrieve surface wind vectors; root mean square error; wind directions; wind speed; Geophysical measurements; Hurricanes; Image retrieval; Oceans; Polarization; Rain; Root mean square; Sea measurements; Sea surface; Wind speed;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4779036
Filename
4779036
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