The 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.
General
Imprint: |
Bibliogov
|
Country of origin: |
United States |
Release date: |
August 2013 |
First published: |
August 2013 |
Authors: |
Anthony K. Liu
|
Dimensions: |
246 x 189 x 2mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
34 |
ISBN-13: |
978-1-289-27792-5 |
Categories: |
Books >
Social sciences >
Politics & government >
General
|
LSN: |
1-289-27792-3 |
Barcode: |
9781289277925 |
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