DocumentCode
26273
Title
A Study of Sea Surface Wind Vector Estimation From Near-Nadiral Cross-Track-Scanned Backscatter Data
Author
Nekrasov, A. ; Ouellette, Jacob ; Majurec, Ninoslav ; Johnson, Joel T.
Author_Institution
ElectroScience Lab., Ohio State Univ., Columbus, OH, USA
Volume
10
Issue
6
fYear
2013
fDate
Nov. 2013
Firstpage
1503
Lastpage
1506
Abstract
The possibility of recovering sea surface wind vectors from near-nadiral cross-track Ku- or Ka-band backscatter measurements using a measuring geometry similar to that of the Airborne Precipitation Radar 2 is discussed. The cross-track scanning geometry includes diversity in both elevation and azimuth angles, allowing the possibility of both wind speed and direction retrieval to within a 180 ° direction ambiguity. A simulation study of wind vector retrieval accuracy is performed based on the use of the “cutoff-invariant two-scale model” of sea surface backscatter returns. The results show that a maximum likelihood retrieval approach utilizing data from the cross-track scan can provide reasonable wind vector retrieval accuracy.
Keywords
airborne radar; atmospheric measuring apparatus; backscatter; maximum likelihood estimation; remote sensing by radar; wind; Airborne Precipitation Radar 2; azimuth angle; cross-track scan; cross-track scanning geometry; cutoff-invariant two-scale model; direction ambiguity; elevation angle; maximum likelihood retrieval approach; near-nadiral cross-track Ka-band backscatter measurement; near-nadiral cross-track Ku-band backscatter measurement; sea surface backscatter returns; sea surface wind vector estimation; wind direction retrieval; wind speed retrieval; wind vector retrieval accuracy; Near-nadir backscatter; sea wind retrieval;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2013.2261047
Filename
6553425
Link To Document