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Wavelet Analysis of SAR Images for Coastal MonitoringThe mapping of mesoscale ocean features in the coastal zone is a major potential application for satellite data. The evolution of mesoscale features such as oil slicks, fronts, eddies, and ice edge can be tracked by the wavelet analysis using satellite data from repeating paths. The wavelet transform has been applied to satellite images, such as those from Synthetic Aperture Radar (SAR), Advanced Very High-Resolution Radiometer (AVHRR), and ocean color sensor for feature extraction. In this paper, algorithms and techniques for automated detection and tracking of mesoscale features from satellite SAR imagery employing wavelet analysis have been developed. Case studies on two major coastal oil spills have been investigated using wavelet analysis for tracking along the coast of Uruguay (February 1997), and near Point Barrow, Alaska (November 1997). Comparison of SAR images with SeaWiFS (Sea-viewing Wide Field-of-view Sensor) data for coccolithophore bloom in the East Bering Sea during the fall of 1997 shows a good match on bloom boundary. This paper demonstrates that this technique is a useful and promising tool for monitoring of coastal waters.
Document ID
19990024877
Acquisition Source
Goddard Space Flight Center
Document Type
Preprint (Draft being sent to journal)
Authors
Liu, Antony K. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Wu, Sunny Y. (NASA Goddard Space Flight Center Greenbelt, MD United States)
Tseng, William Y. (National Environmental Satellite Service Washington, DC United States)
Pichel, William G. (National Environmental Satellite Service Washington, DC United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1998
Subject Category
Oceanography
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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