Wind vector inversion from RADARSAT SAR images: A new algorithm

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Wind speed and direction are estimated from backscatter σ° measurements at two adjacent sub-scenes of RADARSAT-1 synthetic aperture radar (SAR) images, each sub-scene with slightly different incidence angles. Resultant wind vectors are validated using in-situ buoy measurements, and compared with SAR-derived wind vectors obtained by using the wind directions determined from a spectral analysis of SAR images and co-located QuikSCAT measurements, as inputs to a hybrid model wind retrieval model. The implemented hybrid model consists CMOD-IFR2 (applicable to C-band, VV polarization) and the C-band co-polarization ratio for Kirchhoff scattering. The new algorithm displays improved skill in wind vector estimation from RADARSAT-1 SAR data.

Original languageEnglish
Title of host publication2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Pages51-54
Number of pages4
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Geoscience and Remote Sensing Symposium - Anchorage, United States
Duration: 20 Sep 200424 Sep 2004

Conference

Conference2004 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS 2004
CountryUnited States
CityAnchorage
Period20/09/0424/09/04

Keywords

  • RARDARSAT
  • SAR
  • Wind vector

ASJC Scopus subject areas

  • Software
  • Geology

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