FN Archimer Export Format
PT J
TI Statistical Descriptors of Ocean Regimes From the Geometric Regularity of SST Observations
BT 
AF BA, Sileye O.
   AUTRET, Emmanuelle
   CHAPRON, Bertrand
   FABLET, Ronan
AS 1:1,3;2:2;3:2;4:1,3;
FF 1:;2:PDG-ODE-LOS;3:PDG-ODE-LOS;4:;
C1 Univ Europeenne Bretagne, Lab STICC, F-29238 Plouzane, France.
   IFREMER, CERSAT, F-29238 Plouzane, France.
C2 UEB, FRANCE
   IFREMER, FRANCE
   TELECOM BRETAGNE, FRANCE
SI BREST
SE PDG-ODE-LOS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-univ-france
IF 1.82
TC 4
UR https://archimer.ifremer.fr/doc/00109/21993/20230.pdf
LA English
DT Article
DE ;Geosciences and remote sensing;image analysis;image classification;image processing;oceans;ocean temperature;sea surface
AB 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.
PY 2012
PD SEP
SO Ieee Geoscience And Remote Sensing Letters
SN 1545-598X
PU Ieee-inst Electrical Electronics Engineers Inc
VL 9
IS 5
UT 000310915500011
BP 851
EP 855
DI 10.1109/LGRS.2012.2184258
ID 21993
ER

EF