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2. WP9 – Earth Observation Applications

2. WP9 – Earth Observation Applications. Welcome and introduction (15m) WP9 – Earth Observation Applications (5 0 m) ESA and WP9: infrastr, appl, TB 0/1 (5 0 m) Demonstration of EO applications (45m) ESA and WP9 : scale up, effort, recovery plan (5 0 m)

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2. WP9 – Earth Observation Applications

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  1. 2. WP9 – Earth Observation Applications • Welcome and introduction (15m) • WP9 – Earth Observation Applications (50m) • ESA and WP9: infrastr, appl, TB 0/1 (50m) • Demonstration of EO applications (45m) • ESA and WP9: scale up, effort, recovery plan (50m) • Side ESA actions related to GRID (30m) • Reviewer separate meeting (60m) • Conclusions (30m) ESA DataGrid Review Frascati, 10 June 2002

  2. Summary item 2 • WP9 – Earth Observation Applications (50m) • DataGrid EO requirement (LF, 15m) • DataGrid WP9 tasks, WP9 Plan(JL, 15m)

  3. Review! Earth Observation Community GRID interactive scenario Common access to EO missions catalogues Acquisition plan, order, delivery On demand high level products generation Parametric data fusion and models integration Collaborative publishing of results

  4. EO and Network Computing data models:EO is more than “parallel task execution”!! • Distributed Computing • Integration of data from various instruments and missions • High-Throughput Computing • Interferometry … • On-Demand Computing • Generation of EO user products… • Data-Intensive Computing • Archive data re-processing, climate modeling… • Collaborative Computing • Scientists application interactions, Instrument cal/val … Ian Foster andCarl Kesselman, editors, “The Grid: Blueprint for a New Computing Infrastructure,” Morgan Kaufmann, 1999

  5. The Grid from a Services View Chemistry EO and Environment Cosmology Applications ... Biology High Energy Physics Science & Application Distributed Data- Remote Problem Remote Collaborative Computing Intensive Visualization Solving Instrumentation Application Applications Applications Applications Applications Applications Toolkits Toolkit Toolkit Toolkit Toolkit Toolkit Toolkit : E.g., Grid Services Resource-independent and application-independent services (Middleware) authentication, authorization, resource location, resource allocation, events, accounting, remote data access, information, policy, fault detection : System Resource-specific implementations of basic services Grid Fabric E.g., Transport protocols, name servers, differentiated services, CPU schedulers, public key (Resources) infrastructure, site accounting, directory service, OS bypass

  6. Review! Number crunching: interferometry, subsidence,DEM generation Pomona (Cal): subsidence velocity fields 40 ERS1/2 images (92-99), Ambiguity: 28 mm Digital Elevation Model • GRID requirements: • large data files (10+ GB) • stages with intensiveprocessing • science driven value adding

  7. Charter for Disaster Management • Provide a single access point to space systems to emergency & rescue organisations in case of disasters • Participating Space Agencies: CNES, CSA, ESA, ISRO, NOAA, … • Missions: RADARSAT; ERS, (Envisat); SPOT; IRS; NOAA, …

  8. ESA EO facilities real-time infrastructure SEAWIFS LANDSAT 7 TERRA/MODIS AVHRR SPOT IRS-P3 MATERA (I) HISTORICAL ARCHIVES KIRUNA (S) - ESRANGE TROMSO (N) MATERA (I) STANDARD PRODUCTION CHAINS MASPALOMAS (E) NEUSTREL.ITZ (D) METADATA BROWSE WEB PRODUCTS USERS MULTIMISSION DATABASES FOR REMOTE ACCESS AND USER SERVICES ESRIN USERS

  9. AOs: Stimulating scientific research world-wide 3500+ science Users of ESA data Countries No Projects 1-25 Projects 26-50 51-100 100+ Projects 120 New Cat-1 Projects in 2001 700 Envisat AOs to start in 2002 P.I. geographic distribution Envisat science community

  10. Why GRID in EO? (1) • EO Community: Progressive refinement of data from many data sources to produce higher quality products • Product generation chain involving distributedorganisations and users • Collaborative: distributed users and data – large international cooperation • Discovery: large numbers of products & resources • Interoperabiltiy of catalogue and metadata already in operation • Web based data services

  11. Why GRID in EO? (2) • Massive, non-stop data volumes • New instruments, sensors & product types • Distributedarchives • Historical dataset reprocessing • Complex numerical processing algorithms • Near real-time turnover

  12. Needed GRID technologies • Resource-independent and application-independent services (middleware) • authentication, authorization, resource location, resource allocation, remote data access, • accounting, security, quality of services, fault detection, real time services, … • Specialized protocols, procedures, data standards, operational environments, interfaces to EO legacy systems… • EO dedicated portal and user access…

  13. OZONE: a case of Global Environmental Monitoring Review! • GRID requirements: • Multi instrument data fusion • Distributed data sources, science and institutional users • Complex data processing (1d data = 20 d • processing • Near real • time deliv. GOME analysis detected ozone thinningoverEurope 31 Jan 2002

  14. Application of DataGrid in EO • Focus on One EO application (Ozone) but explore: • Collaborative environment, parallel data processing, … • Interface to legacy and COTS systems • Develop generic components • Re-use components to add new applications • Integrate compatible technologies • Integrate other data types (new envisat instruments) • Testing in “controlled” GRID environment (ESRIN-ENEA) and in “wide-European” environment • Feedback to DataGrid developers and Architecture Group

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