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Grid Interest Group Grid Interest Group Conclusion Conclusion Prof. Nataliia Kussul, Space Research Institute NASU-NSAU, Ukraine WGISS-28, September 29, 2009 Pretoria, South Africa
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Grid Interest Group Conclusion Prof. Nataliia Kussul, Space Research Institute NASU-NSAU, Ukraine WGISS-28, September 29, 2009 Pretoria, South Africa.

Dec 26, 2015

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Page 1: Grid Interest Group Conclusion Prof. Nataliia Kussul, Space Research Institute NASU-NSAU, Ukraine WGISS-28, September 29, 2009 Pretoria, South Africa.

Grid Interest Group Grid Interest Group ConclusionConclusion

Prof. Nataliia Kussul,Space Research Institute NASU-NSAU, Ukraine

WGISS-28, September 29, 2009Pretoria, South Africa

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Lessons LearnedLessons 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: ProblemsLessons 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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Delays in information on flood event

Delays in data delivery

Flood Events Information Flood Events Information BreakdownBreakdown

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Solution: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 Example: workflow for Malaria projectproject

Flood warnings

EO products

Socio-economic inf

Infrastructure

Models

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DataData

• 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– wells, channels, …

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Actuality – contribution to Actuality – contribution to Health SBAHealth 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– 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.)Actuality – Health SBA (cont.)

• GEOSS Health SBA– “… Earth observation data can contribute to

improving our understanding of how the environment affects human health and well-being ”

– “… 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 CallsEuropean 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– 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 2009-2011GEO 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– 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 ProposalGIG Proposal

• WGISS should participate at the consortiums. • WGISS possible contribution to the projects:

– “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:– 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!