A new wind vector algorithm for C-band SAR

Yijun He; William Perrie; Qingping Zou; Paris W. Vachon

doi:10.1109/TGRS.2005.848411

A new wind vector algorithm for C-band SAR

Yijun He^*, William Perrie, Qingping Zou, Paris W. Vachon

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

49 Citations (Scopus)

35 Downloads (Pure)

Abstract

Ocean wind speed and wind direction are estimated simultaneously using the normalized radar cross sections σ ⁰ corresponding to two neighboring (25-km) blocks, within a given synthetic aperture radar (SAR) image, having slightly different incidence angles. This method is motivated by the methodology used for scatterometer data. The wind direction ambiguity is removed by using the direction closest to that given by a buoy or some other source of information. We demonstrate this method with 11 ENVISAT Advanced SAR sensor images of the Gulf of Mexico and coastal waters of the North Atlantic. Estimated wind vectors are compared with wind measurements from buoys and scatterometer data. We show that this method can surpass other methods in some cases, even those with insufficient visible wind-induced streaks in the SAR images, to extract wind vectors.

Original language	English
Pages (from-to)	1453-1458
Number of pages	6
Journal	IEEE Transactions on Geoscience and Remote Sensing
Volume	43
Issue number	7
DOIs	https://doi.org/10.1109/TGRS.2005.848411
Publication status	Published - Jul 2005

Keywords

Retrieval
Synthetic aperture radar (SAR)
Wind vector

ASJC Scopus subject areas

Geochemistry and Petrology
Geophysics
Computers in Earth Sciences
Electrical and Electronic Engineering

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10.1109/TGRS.2005.848411

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AU - He, Yijun

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AU - Zou, Qingping

AU - Vachon, Paris W.

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N2 - Ocean wind speed and wind direction are estimated simultaneously using the normalized radar cross sections σ 0 corresponding to two neighboring (25-km) blocks, within a given synthetic aperture radar (SAR) image, having slightly different incidence angles. This method is motivated by the methodology used for scatterometer data. The wind direction ambiguity is removed by using the direction closest to that given by a buoy or some other source of information. We demonstrate this method with 11 ENVISAT Advanced SAR sensor images of the Gulf of Mexico and coastal waters of the North Atlantic. Estimated wind vectors are compared with wind measurements from buoys and scatterometer data. We show that this method can surpass other methods in some cases, even those with insufficient visible wind-induced streaks in the SAR images, to extract wind vectors.

AB - Ocean wind speed and wind direction are estimated simultaneously using the normalized radar cross sections σ 0 corresponding to two neighboring (25-km) blocks, within a given synthetic aperture radar (SAR) image, having slightly different incidence angles. This method is motivated by the methodology used for scatterometer data. The wind direction ambiguity is removed by using the direction closest to that given by a buoy or some other source of information. We demonstrate this method with 11 ENVISAT Advanced SAR sensor images of the Gulf of Mexico and coastal waters of the North Atlantic. Estimated wind vectors are compared with wind measurements from buoys and scatterometer data. We show that this method can surpass other methods in some cases, even those with insufficient visible wind-induced streaks in the SAR images, to extract wind vectors.

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KW - Wind vector

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A new wind vector algorithm for C-band SAR

Abstract

Keywords

ASJC Scopus subject areas

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