ESA e l’utilizzo di tecnologia Grid e SOA per l’Osservazione della Terra

Roberto Cossu, Luigi Fusco

Abstract


ESA grid and SOA Technologies for Earth Observation
Due to its intensive data processing and highly distributed
organization, the multidisciplinary Earth Science (ES) applications community is uniquely positioned for the uptake and exploitation of Grid technologies. This article describes a number of initiatives that the European Space Agency is carrying focusing on a ES e-collaboration platform that makes use of Grid and SOA technologies. Starting from the experience gained so far with ESA Grid Processing on Demand, we will discuss the vision of a dedicated ES platform. The aim is to enable scientists to locate, access, combine and integrate historical and fresh Earth-related data from space, airborne and in-situ sensors archived in large distributed repositories. The big challenge is to allow Earth Science communities to easil and quickly derive objective information and share knowledge based on all environmentally sensitive domains. The GENESIDR project is already taking important steps in developing this platform.


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Riferimenti bibliografici


ESA Grid Processing on-Demand (G-POD) Web portal: http://eogrid.esrin.esa.int.

L.Fusco, R.Cossu, C.Retscher, “Open Grid services for Envisat and Earth observation applications” in High Performance Computing in Remote Sensing, Ed: Antonio Plaza, Taylor and Francis Group, Chapter 13.

Category-1 data users on the Earth Observation GRID Processing-on-Demand environment: http://eopi.esa.int/esa/esa

R.Cossu, E.Schoepfer,Ph.Bally, and L. Fusco “Near real-time SAR-based processing to support flood monitoring”, Journal Real Time Image Processing, March 2009

International Charter “Space and Major Disasters” website: http://www.disasterscharter.org Ground European Network for Earth Science Interoperations - Digital Repositories (GENESI-DR) website: http://www.genesi-dr.eu/

P. Berardino, G. Fornaro, R. Lanari, and E. Sansosti, “A new Algorithm for Surface Deformation Monitoring based on Small Baseline Differential SAR Interferograms”, IEEE Transactions on Geoscience and Remote Sensing, v. 40, p. 2375-2383, 2002.


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