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Marine GIS: identification of mesoscale oceanic thermal fronts / V.D. Valavanis in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 19 n° 10 (november 2005) . - pp 1131 - 1147 Titre : Marine GIS: identification of mesoscale oceanic thermal fronts Type de document : Article/Communication Auteurs : V.D. Valavanis, Auteur ; I. Katara, Auteur ; A. Palialexis, Auteur Année de publication : 2005 Article en page(s) : pp 1131 - 1147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG [Termes IGN] ArcInfo [Termes IGN] bathymétrie [Termes IGN] carte thématique [Termes IGN] chlorophylle [Termes IGN] circulation océanique [Termes IGN] image satellite [Termes IGN] isobathe [Termes IGN] Méditerranée, mer [Termes IGN] système d'information géographique [Termes IGN] température de surface de la mer Résumé : (Auteur) A new method (the 'sink' method) is proposed for the mapping of productive mesoscale oceanic thermal fronts based on the combined analysis of satellite imagery for sea surface temperature (SST) distribution and chlorophyll (CHL) concentration under a Geographic Information System (GIS). In an SST lattice data array, data value sinks describe heterogeneous drops in SST distribution as this is compared to more homogeneously distributed SST in the surrounding area. Using Arc/Info GIS, these thermal discontinuities are flagged and applied on SST and CHL imagery for the calculation of differences in SST and CHL patterns (DSST and DCHL) inside and outside of these flagged areas. Spatially connected sinks that are characterized by simultaneous negative DSST and positive DCHL pattern are mapped as thermal fronts. Results include a time series of monthly front occurrence GIS maps in Eastern Mediterranean waters along with three calculated front characteristics (DSST, DCHL and bathymetry). Comparisons between the mapped fronts and isobath distributions present clearly visible front-to-isobath spatial and shape associations while spatial analysis between front and wind data explains 66% of the number of mapped fronts. Numéro de notice : A2005-503 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810500391206 En ligne : https://doi.org/10.1080/13658810500391206 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27639 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
079-05091	RAB	Revue	Centre de documentation	En réserve L003	Disponible
079-05092	RAB	Revue	Centre de documentation	En réserve L003	Disponible