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Preliminary study of Grid computing for remotely sensed information / Y. Xue in International Journal of Remote Sensing IJRS, vol 26 n° 16 (August 2005)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 26 n° 16 (August 2005) . - pp 3613 - 3630 Titre : Preliminary study of Grid computing for remotely sensed information Type de document : Article/Communication Auteurs : Y. Xue, Auteur ; Jing Wang, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 3613 - 3630 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] données localisées [Termes IGN] étude préliminaire [Termes IGN] interface graphique [Termes IGN] maille carrée [Termes IGN] ozone [Termes IGN] rayonnement ultraviolet [Termes IGN] temps réel [Termes IGN] traitement automatique de données Résumé : (Auteur) Observing the world-wide concentration and distribution of ozone is important for monitoring the evolution of the ozone layer, to derive the amount of UV, to provide ozone and UV forecasts and to improve weather forecasting. Monitoring ozone is the primary function of the Global Ozone Monitoring Experiment. Each day, space missions download, from space to ground, many raw images that are stored in ground stations located all over the world. How to process this data resource in real time - or almost real time - and effectively share spatial information among the remote sensing community is a pressing task. Grid computing can provide access to a globally distributed computing environment via authentication, authorization, negotiation and security. It can create a computational environment handling many PetaBytes of geographically distributed data, tens of thousands of heterogeneous computing resources and thousands of simultaneous users from many research institutions. It can provide a powerful tool for sharing both remote sensing data and processing middleware. This paper introduces the concept of grid computing, followed by its applications for atmospheric ozone retrieval. The special remote sensing data analysis note for the Spatial Information Grid (SIG) is addressed in detail. A series of remotely sensed image processing middleware is shown. Experience shows that near-realtime products, such as maps of ozone, from the processing and analysis of remotely sensed data are possible. Numéro de notice : A2005-348 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160500077028 En ligne : https://doi.org/10.1080/01431160500077028 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27484 [article]

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