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Computing coastal ocean surface curreants from infrared and ocean color satellite imagery / R.I. Crocker in IEEE Transactions on geoscience and remote sensing, vol 45 n° 2 (February 2007)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 45 n° 2 (February 2007) . - pp 435 - 447 Titre : Computing coastal ocean surface curreants from infrared and ocean color satellite imagery Type de document : Article/Communication Auteurs : R.I. Crocker, Auteur Année de publication : 2007 Article en page(s) : pp 435 - 447 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] Californie (Etats-Unis) [Termes IGN] corrélation croisée maximale [Termes IGN] couleur de l'océan [Termes IGN] courant marin [Termes IGN] image Aqua-MODIS [Termes IGN] image NOAA-AVHRR [Termes IGN] image Seawifs [Termes IGN] littoral [Termes IGN] rayonnement infrarouge thermique [Termes IGN] spectroradiométrie [Termes IGN] température de surface [Termes IGN] thermographie Résumé : (Auteur) Many previous studies have demonstrated the viability of estimating advective ocean surface currents from sequential infrared satellite imagery using the maximum cross-correlation (MCC) technique when applied to 1.1-km-resolution Advanced Very High Resolution Radiometer (AVHRR) thermal infrared imagery. Applied only to infrared imagery, cloud cover and undesirable viewing conditions (gaps in satellite data and edge-of-scan distortions) limit the spatial and temporal coverage of the resulting velocity fields. In addition, MCC currents are limited to those represented by the displacements of thermal surface patterns, and hence, isothermal flow is not detected by the MCC method. The possibility of supplementing MCC currents derived from thermal AVHRR imagery was examined, with currents calculated from 1.1-km-resolution Moderate Resolution Imaging Spectroradiometer (MODIS) and Sea-viewing Wide Field-of-view Sensor (SeaWiFS) ocean color imagery, which often have spatial patterns complementary to the thermal infrared patterns. Statistical comparisons are carried out between yearlong collections of thermal and ocean color derived MCC velocities for the central California Current. It is found that the image surface patterns and resulting MCC velocities complement one another to reduce the effects of poor viewing conditions and isothermal flow. The two velocity products are found to agree quite well with a mean correlation of 0.74, a mean rms difference of 7.4 cm/s, and a mean bias less than 2 cm/s which is considerably smaller than the established absolute error of the MCC method. Merging the thermal and ocean color MCC velocity fields increases the spatial coverage by approximately 25% for this specific case study. Copyright IEEE Numéro de notice : A2007-078 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2006.883461 En ligne : https://doi.org/10.1109/TGRS.2006.883461 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28443 [article]

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