DocumentCode
2200115
Title
An exeriment for high speed retrieval by ENVISAT-ASAR cross-polarized observations
Author
Jie, Guo ; He, Yijun
Author_Institution
Key Lab. of Coastal Zone Environ. Processes, Yantai Inst. of Coastal Zone Res., Yantai, China
fYear
2012
fDate
22-27 July 2012
Firstpage
2809
Lastpage
2812
Abstract
We present a new empirical C-band cross-polarization ocean backscatter model for high wind retrievals, from ENVISAT-ASAR. The model relates normalized radar cross section (NRCS) in cross-polarization (VV/VH) to the wind speed at 10-m height. This wind retrieval model has the remarkable characteristic that it is independent of SAR radar incidence angles or wind directions but is extremely linear with respect to wind speeds, especially high winds. To evaluate the accuracy of the proposed model, winds were retrieved from a dual-polarization ASAR image of storm surge and to retrieve wind direction by CMOD5, using the new model and compared with ASAR data. A root mean square error of retrieval wind speed is about 1.13m/s in new empirical C-band model and wind direction is about 16.16°.
Keywords
atmospheric boundary layer; atmospheric techniques; backscatter; oceanography; radiowave propagation; remote sensing by radar; storms; synthetic aperture radar; wind; ENVISAT-ASAR cross polarized observations; NRCS; SAR radar incidence angle independence; dual polarization ASAR image; empirical C-band cross polarization ocean backscatter model; high speed wind retrievals; model accuracy; normalized radar cross section; storm surge; wind direction independence; wind direction retrieval; wind retrieval model; Radar cross section; Sea measurements; Synthetic aperture radar; Wind speed; Advanced Scatterometer; CMOD5; ENVISAT-ASAR; cross-polarization; high winds;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location
Munich
ISSN
2153-6996
Print_ISBN
978-1-4673-1160-1
Electronic_ISBN
2153-6996
Type
conf
DOI
10.1109/IGARSS.2012.6350848
Filename
6350848
Link To Document