Wind vector inversion from RADARSAT SAR images: A new algorithm

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

doi:10.1109/IGARSS.2004.1368942

Wind vector inversion from RADARSAT SAR images: A new algorithm

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings
Pages	51-54
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2004.1368942
Publication status	Published - 2004
Event	2004 IEEE International Geoscience and Remote Sensing Symposium - Anchorage, United States Duration: 20 Sept 2004 → 24 Sept 2004

Conference

Conference	2004 IEEE International Geoscience and Remote Sensing Symposium
Abbreviated title	IGARSS 2004
Country/Territory	United States
City	Anchorage
Period	20/09/04 → 24/09/04

Keywords

RARDARSAT
SAR
Wind vector

ASJC Scopus subject areas

Software
Geology

Access to Document

10.1109/IGARSS.2004.1368942

Cite this

@inproceedings{19eb9f925a3b42f8af80d9df820d924d,

title = "Wind vector inversion from RADARSAT SAR images: A new algorithm",

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.",

keywords = "RARDARSAT, SAR, Wind vector",

author = "Qingping Zou and Yijun He and William Perrie and Vachon, {Paris W.}",

year = "2004",

doi = "10.1109/IGARSS.2004.1368942",

language = "English",

isbn = " 0-7803-8742-2",

pages = "51--54",

booktitle = "2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings",

note = "2004 IEEE International Geoscience and Remote Sensing Symposium , IGARSS 2004 ; Conference date: 20-09-2004 Through 24-09-2004",

}

TY - GEN

T1 - Wind vector inversion from RADARSAT SAR images

T2 - 2004 IEEE International Geoscience and Remote Sensing Symposium

AU - Zou, Qingping

AU - He, Yijun

AU - Perrie, William

AU - Vachon, Paris W.

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - RARDARSAT

KW - SAR

KW - Wind vector

UR - http://www.scopus.com/inward/record.url?scp=15944418624&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2004.1368942

DO - 10.1109/IGARSS.2004.1368942

M3 - Conference contribution

AN - SCOPUS:15944418624

SN - 0-7803-8742-2

SP - 51

EP - 54

BT - 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings

Y2 - 20 September 2004 through 24 September 2004

ER -

Wind vector inversion from RADARSAT SAR images: A new algorithm

Abstract

Conference

Keywords

ASJC Scopus subject areas

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