Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations

Type Publication
Publication date 2012-09
Language English
Copyright 2012 IEEE
Author(s) Ba Sileye O.1, 3, Autret Emmanuelle2, Chapron Bertrand2, Fablet Ronan1, 3
Affiliation(s) 1 : Univ Europeenne Bretagne, Lab STICC, F-29238 Plouzane, France.
2 : IFREMER, CERSAT, F-29238 Plouzane, France.
Source Ieee Geoscience And Remote Sensing Letters (1545-598X) (Ieee-inst Electrical Electronics Engineers Inc), 2012-09 , Vol. 9 , N. 5 , P. 851-855
DOI 10.1109/LGRS.2012.2184258
WOS© Times Cited 4
Keyword(s) Geosciences and remote sensing, image analysis, image classification, image processing, oceans, ocean temperature, sea surface
Abstract In this letter, we evaluate to which extent the activity of ocean fronts can be retrieved from the geometric regularity of ocean tracer observations. Applied to sea surface temperature (SST), we propose a method for the characterization of this geometric regularity from curvature-based statistics along temperature level lines in front regions. To assess the effectiveness of the proposed descriptors, we used six years (from 2003 to 2008) of daily SST observations of the regions of Agulhas in the South of Africa and of Malvinas off the southern Brazilian coast. These experiments stress the relevance of geometric regularity features of tracer observation at ocean surface to characterize seasonal variations in ocean regimes.
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