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.
| Original language | English |
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| Title of host publication | Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
| DOIs | |
| State | Published - 2011 |
| Externally published | Yes |
| Event | 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China Duration: 24 Jun 2011 → 26 Jun 2011 |
Publication series
| Name | Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
|---|
Conference
| Conference | 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 24/06/11 → 26/06/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- CMOD4
- polarization ratio
- sea surface
- synthetic aperture radar (SAR)
- wind directi
- wind speed
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