Title :
Wind retrieval over the ocean using advanced synthetic aperture radar
Author :
Wang, Lihua ; Zhou, Yunxuan ; Liu, Yue ; Zhang, Min
Author_Institution :
State Key Lab. of Estuarine & Coastal Res., East China Normal Univ., Shanghai, China
Abstract :
Sea surface wind is a crucial parameter for the studies of marine environment, which can help us to get a better understanding of processes in coastal areas and the lower atmospheric boundary layer. Synthetic aperture radar (SAR) with the unique advantages of high spatial resolution, typically below 100 m, can provide detailed wind vector information of marine and coastal areas. The wind fields retrieval include wind speeds and wind directions. The most widely used CMOD4 are suitable for ocean SAR data to extract wind speeds information. In addition, the CMOD4 algorithms are originally developed for the C-band, VV-Polarized data and thus need to be extended for HH polarization. The wind directions are obtained from wind-induced streaks that are visible in SAR images. And the 180° ambiguity is removed using the additional data from ECMWF. Compared with the data from ECMWF, the error in the wind direction and average wind speed are very small. The results show that image radiometric calibration and image filtering, smoothing, together with CMOD4 algorithms, can offer high quality specification on wind fields.
Keywords :
atmospheric boundary layer; atmospheric techniques; geophysical image processing; oceanographic regions; radar imaging; remote sensing by radar; synthetic aperture radar; wind; C-band data; CMOD4 algorithms; ECMWF; HH polarization; VV-Polarized data; advanced synthetic aperture radar; atmospheric boundary layer; image filtering; image radiometric calibration; sea surface wind; spatial resolution; wind directions; wind retrieval; wind speed; wind vector information; Sea measurements; Sea surface; Synthetic aperture radar; Wind speed; CMOD4; polarization ratio; sea surface; synthetic aperture radar (SAR); wind directi; wind speed;
Conference_Titel :
Geoinformatics, 2011 19th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-849-5
DOI :
10.1109/GeoInformatics.2011.5980730