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Sensors 2008, 8(11), 7012-7034;

Mesoscale Near-Surface Wind Speed Variability Mapping with Synthetic Aperture Radar

The Pennsylvania State University, Department of Meteorology / 503 Walker Building, University Park, PA 16802, USA
Millersville University, Department of Earth Sciences / P.O. Box 1002, Millersville, PA 17551, USA
Johns Hopkins University, Applied Physics Laboratory / 11100 Johns Hopkins Road, Laurel, MD 20723, USA
Author to whom correspondence should be addressed.
Received: 8 October 2008 / Revised: 31 October 2008 / Accepted: 3 November 2008 / Published: 5 November 2008
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
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Operationally-significant wind speed variability is often observed within synthetic aperture radar-derived wind speed (SDWS) images of the sea surface. This paper is meant as a first step towards automated distinguishing of meteorological phenomena responsible for such variability. In doing so, the research presented in this paper tests feature extraction and pixel aggregation techniques focused on mesoscale variability of SDWS. A sample of twenty eight SDWS images possessing varying degrees of near-surface wind speed variability were selected to serve as case studies. Gaussian high- and low-pass, local entropy, and local standard deviation filters performed well for the feature extraction portion of the research while principle component analysis of the filtered data performed well for the pixel aggregation. The findings suggest recommendations for future research. View Full-Text
Keywords: Synthetic Aperture Radar; Digital Filter; Pattern Recognition Synthetic Aperture Radar; Digital Filter; Pattern Recognition

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Young, G.; Sikora, T.; Winstead, N. Mesoscale Near-Surface Wind Speed Variability Mapping with Synthetic Aperture Radar. Sensors 2008, 8, 7012-7034.

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