NDLI: Spatio-temporal segmentation and estimation of ocean surface currents from satellite sea surface temperature fields

Content Provider	IEEE Xplore Digital Library
Author	Tandeo, P. Ba, S. Fablet, R. Chapron, B. Autret, E.
Copyright Year	2013
Description	Author affiliation: Dept. Signal & Commun., Technopole Brest-Iroise, Brest, France (Tandeo, P.; Ba, S.; Fablet, R.) \|\| Spatial Oceanogr. Lab., Technopole Brest-Iroise, Brest, France (Chapron, B.; Autret, E.)
Abstract	The use of satellite Sea Surface Temperature (SST) fields to retrieve zonal and meridional surface currents (U, V) is now a widespread idea. Since the classical approach involves temporal differencing of SST fields, we investigate in this paper the extent to which mesoscale ocean dynamics may be decomposed into a superposition of dynamical modes, characterized by different linear relationships between surface currents and temperature fields. Based on a completely observation-driven approach, we propose a latent class regression model from local satellite surface currents and patches of SST measurements. Applied to the highly dynamical Agulhas region, we demonstrate and discuss the geophysical relevance of the proposed mixture model to achieve a spatio-temporal segmentation and tracking of the ocean surface dynamical modes. Moreover, we show the accuracy of the proposed model to predict mesoscale surface currents from SST single maps.
Starting Page	2344
Ending Page	2348
File Size	1576730
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sea surface current Observation-driven model Patch-based model Latent class regression Surface dynamical mode segmentation
Content Type	Text
Resource Type	Article

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