Wind-vector estimation for RADARSAT-1 SAR images: Validation of wind-direction estimates based upon geometry diversity

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

Research output: Contribution to journalArticle

9 Citations (Scopus)
15 Downloads (Pure)

Abstract

In this letter, a new wind-vector algorithm is presented that uses radar backscatter σo measurements at two adjacent subscenes of RADARSAT-1 synthetic aperture radar (SAR) images, with each subscene having slightly different geometry. Resultant wind vectors are validated using in situ buoy measurements and compared with wind vectors determined from a hybrid wind-retrieval model using wind directions determined by spectral analysis of wind-induced image streaks and observed by colocated QuikSCAT measurements. The hybrid wind-retrieval model consists of CMOD-IFR2 [applicable to C-band vertical-vertical (VV) polarization] and a C-band copolarization ratio according to Kirchhoff scattering. The new algorithm displays improved skill in wind-vector estimation for RADARSAT-1 SAR data when compared to conventional wind-retrieval methodology. In addition, unlike conventional methods, the present method is applicable to RADARSAT-1 images both with and without visible streaks. However, this method requires ancillary data such as buoy measurements to resolve the ambiguity in retrieved wind direction.

Original languageEnglish
Pages (from-to)176-180
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume4
Issue number1
DOIs
Publication statusPublished - Jan 2007

Keywords

  • Air-sea interaction
  • RADARSAT
  • Synthetic aperture radar (SAR)
  • Wind-vector retrieval

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Electrical and Electronic Engineering

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