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Doppler Velocity Characteristics During Tropical Cyclones Observed Using ScanSAR Raw Data
Author(s) -
Ki-mook Kang,
Duk-jin Kim,
Seung Hee Kim,
Wooil M. Moon
Publication year - 2016
Publication title -
ieee transactions on geoscience and remote sensing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.141
H-Index - 254
eISSN - 1558-0644
pISSN - 0196-2892
DOI - 10.1109/tgrs.2015.2499443
Subject(s) - geoscience , signal processing and analysis
Doppler velocity can be derived by calculating Doppler shift anomalies between predicted and estimated Doppler centroids. The predicted Doppler centroid is calculated based on a geometric model of satellite assuming that the target is not moving. The estimated Doppler centroid can be directly extracted from the raw SAR signal data by applying the average cross-correlation coefficient method. It is known that wind-generated ocean waves can significantly contribute to Doppler velocity due to the correlation between orbital motions of the waves and (tilt and hydrodynamic) modulated radar cross sections, in addition to what sea surface current contributes. In this study, the characteristics of Doppler velocities under hurricane conditions were investigated using RADARSAT-1 ScanSAR raw data. Five different hurricanes (Hurricane Dean, Hurricane Ivan, Hurricane Kyle, Hurricane Lili, and Typhoon Xangsane) and sequential acquisitions of two hurricanes (Hurricane Kyle and Hurricane Lili) were selected to study the contribution of wind-induced waves to Doppler velocities and compared with in situ measurements of drifting buoys. The results show that hurricane-generated seas and associated winds and waves appear to be different from ordinary sea state. This leads to lower estimates of Doppler velocities than expected and much closer to sea surface current velocities.

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