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SeaWIFS discrimination of harmful algal bloom evolution / P.I. Miller in International Journal of Remote Sensing IJRS, vol 27 n° 11 (June 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n° 11 (June 2006) . - pp 2287 - 2301 Titre : SeaWIFS discrimination of harmful algal bloom evolution Type de document : Article/Communication Auteurs : P.I. Miller, Auteur ; J.D. Shutler, Auteur ; G.F. Moore, Auteur ; S.B. Groom, Auteur Année de publication : 2006 Article en page(s) : pp 2287 - 2301 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] algue [Termes IGN] analyse diachronique [Termes IGN] analyse multivariée [Termes IGN] Baltique, mer [Termes IGN] couleur de l'océan [Termes IGN] image Seawifs [Termes IGN] Manche (mer) [Termes IGN] Nord, mer du [Termes IGN] série temporelle [Termes IGN] température de surface de la mer Résumé : (Auteur) The discrimination of harmful algal blooms (HABs) from space would benefit both the capability of early warning systems and the study of environmental factors affecting the initiation of blooms. Unfortunately, there are no published techniques using global monitoring satellite sensors to distinguish the resulting subtle changes in ocean colour, so in situ sampling is needed to identify the species in any observed bloom. This paper investigates multivariate classification as an objective means to discriminate harmful and harmless algae and monitor their dynamics using ocean colour data derived from satellite sensors. The classifier is trained and tested using Sea-viewing Wide Field-of-view Sensor (SeaWiFS) data, though the method is designed to be generic for other sensors. Time-series results are presented using the new HAB likelihood index and suggest that SeaWiFS has some capability for observing the dynamic evolution of harmful blooms of Karenia mikimotoi, Chattonella verruculosa and cyanobacteria. Further, a multi-band spatial subtraction algorithm is described to automate the identification of bloom regions and improve the accuracy in discriminating HABs. Copyright Taylor & Francis Numéro de notice : A2006-301 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500396816 En ligne : https://doi.org/10.1080/01431160500396816 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28028 [article]

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080-06061	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt