A new wind vector algorithm for C-band SAR

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

Research output: Contribution to journalArticle

39 Citations (Scopus)

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 languageEnglish
Pages (from-to)1453-1458
Number of pages6
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume43
Issue number7
DOIs
Publication statusPublished - 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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