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
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;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2013.2261047