Transcript 3 - wgiss

Grid Interest Group
Conclusion
Prof. Nataliia Kussul,
Space Research Institute NASU-NSAU, Ukraine
WGISS-28, September 29, 2009
Pretoria, South Africa
Lessons Learned
• Positives
– Grid – powerful infrastructure for data integration and complex
workflow management
– Satisfies GEO requirements to the service based architecture
– All over the world there are Grid-infrastructures for Disaster
Management &Civil Protection
– They could be used for End-to-End Systems Development
• Challenge
– Catalogs &Technologies themselves are not very useful for end users
– Users require not source (row) data, but products (risk management
assessment or loss assessment)
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Lessons Learned: Problems
– Main problem:
There is a gap between data
acquisition and data
processing
International Charter guarantees
only satellite images, not
products
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Flood Events Information
Breakdown
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Delays in information on flood event
Delays in data delivery
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Solution:
– Organizational:
• CEOS level agreement is necessary for data availability
(democracy)& disaster response:
» For CEOS countries
» For specific disasters (special datasets)
– Technical:
• Data provision & processing (unlike Charter)
• Should be done in automated mode (workflow is necessary)
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Example: workflow for Malaria
project
Flood warnings
Infrastructure
EO products
Models
Socio-economic inf
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Data
• Models
– GFS, hydro-predictors, …
• Statistical data
– on infectious diseases
• Remote sensing
– land and water related products
• Socio-economic information
– distribution of population, administrative
boundaries…
• Infrastructure
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– wells, channels, …
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Actuality – contribution to
Health SBA
• Africa
– rising flood waters intensifies health risks for
millions of people, and exacerbates health threats
for conditions including malaria, diarrhoea and
other potentially fatal communicable diseases [UN,
WHO]
• Ukraine
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– major threats to health by water related diseases
– contamination of drinking water in wells
– leads to infectious diseases like hepatitis,
leptospirosis etc with long incubation period
[Ministry of Health of Ukraine]
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Actuality – Health SBA (cont.)
• GEOSS Health SBA
– “… Earth observation data can contribute to
improving our understanding of how the
environment affects human health and wellbeing ”
– “… remote-sensing observations of weather, land
and ocean parameters can now be used to predict
outbreaks or trends in infectious diseases such
as meningitis, malaria and cholera…”
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European response: FP7 Calls
• ‘Environment’: Activity 6.4 Earth observation
and assessment tools for sustainable
development
– Area 6.4.1.1 Integration of European activities within
GEO
• ENV.2010.4.1.1-1 Supporting the integration of
European and international R&D programmes in GEO
– Deadline – 05 January 2010
• ‘Health’: 2.3.2. HIV/AIDS, malaria and
tuberculosis
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– HEALTH.2010.2.3.2-4: Controlling malaria by hitting
the vector: New or improved Vector Control Tools.
– Deadline – 14 January 2010
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GEO WP 2009-2011
• SCIENCE AND TECHNOLOGY
– ST-09-01: Catalyzing Research and Development (R&D)
Funding for GEOSS
• Led by EC (DG-RTD, [email protected]) and IIASA
– ST-09-02: Promoting Awareness and Benefits of GEO in
the Science and Technology Community
• This Task is led by EC (DG-RTD, [email protected]),
COSPAR and IIASA
• HEALTH
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– HE-09-03: End to End Projects for Health –
b) Towards a Globally Coordinated Malaria Warning
System
– Led by France (CNES), USA (NOAA) and CEOS
([email protected])
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GIG Proposal
• WGISS should participate at the consortiums.
• WGISS possible contribution to the projects:
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“Satellite arm” at applied projects;
Networking (we have real working group);
Satellite data availability;
Distribution of GEO principles to disaster warning &
response systems & communities (liaison).
• WGISS benefits:
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Framework for WGISS technologies integration & implementation;
Framework for Application Subgroup IG collaboration;
Framework for WGISS deliverables development;
Sustainable services (not prototypes) creation;
Common funding source .
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Thank You!
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