Title :
Wind vector inversion from RADARSAT SAR images: a new algorithm
Author :
Zou, Qingping ; He, Yijun ; Perrie, Will ; Vachon, Paris
Author_Institution :
Fisheries & Oceans Canada, Bedford Inst. of Oceanogr., Dartmouth, NS, Canada
Abstract :
Wind speed and direction are estimated from backscatter σ0 measurements at two adjacent subscenes of RADARSAT-1 synthetic aperture radar (SAR) images, each subscene 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 colocated 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 copolarization ratio for Kirchhoff scattering. The new algorithm displays improved skill in wind vector estimation from RADARSAT-1 SAR data.
Keywords :
atmospheric techniques; radar cross-sections; radar imaging; remote sensing by radar; synthetic aperture radar; wind; C-band copolarization ratio; CMOD-IFR2 model function; Kirchhoff scattering; Quick Scatterometer measurement; QuikSCAT measurement; RADARSAT SAR image spectral analysis; VV polarization; hybrid wind retrieval model; in-situ buoy measurement; radar backscatter measurement; wind speed/direction; wind vector inversion algorithm; Backscatter; Image retrieval; Oceans; Polarization; Radar measurements; Sea measurements; Spaceborne radar; Synthetic aperture radar; Velocity measurement; Wind speed;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1368942
