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Historical Disaster Data Grid for Natural Disaster Events

Historical Disaster Data Grid for Natural Disaster Events. Prof. Guoqing Li CEODE/CAS March 30, 2009, Newport Beach, USA Presented to 4th China-US Roundtable Meeting on CODATA. Why we need Historical Disaster Data?. Global distribution of natural disasters.

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Historical Disaster Data Grid for Natural Disaster Events

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  1. Historical Disaster Data Grid for Natural Disaster Events Prof. Guoqing Li CEODE/CAS March 30, 2009, Newport Beach, USA Presented to 4th China-US Roundtable Meeting on CODATA

  2. Why we need Historical Disaster Data? Global distribution of natural disasters Climate Change is the mixed and interactive result of earth evaluation and human activities. Natural Disaster is getting much more serious from such interactivities.

  3. Hotspots of major natural disasters

  4. Global Major Natural Disasters

  5. Disaster affect the poor strongly

  6. Scientific Data and Disaster Mitigation • The mitigation activities from scientific society • Prediction • Monitoring • Re-Construction • Well-using of Scientific Data is very important for disaster reductions • Earth Observation Data • In-situ Data • Thematic Data • Background Data • Social-economic Data

  7. The Gap of Data using in Disaster Mitigation • Capacity of satellite observation • orbit, sensor, weather condition….. • Capacity of real-time processing • Disaster thematic model • Fast detection software • Supporting from Supercomputers • Capacity of data infrastructure • Distributed data providers • Complicated searching and accessing • Historical Data • Background Data • ComparativeData • Pass Events’ Data

  8. Data Using Analyses of Wenchuan Earthquake Disaster (12 May, 2008) The duration of high frequent data using in Wenchuan case is only three weeks Case 1：Wenchuan Earthquake

  9. Case 2：World Flood Monitoring Grid - Materials from Prof. Nataliia Kussul, NASU-NSAU

  10. Ukraine, river Tisza, 2001 China, river Huaihe, 2007 Mozambique, river Zambezi, 2008 India and Nepal, river Koshi, 2008 Zambia, river Zambezi, 2009 Vietnam, 2008

  11. World Flood Monitoring Grid

  12. HDDG as an e-infrastructure • Targets of Historical Disaster Data Grid • To archive the scientific data of each disaster (above certain level) • To bridge disaster event with international EO data infrastructures • To make easy accessing of assistant EO data from volunteer space agencies • To collect and provide the necessary background data and disaster evaluation data • To keep and promote the data democracy around the world • To make it possible for disaster suffering country and region to generate thematic disaster information by themselves

  13. Data on certain disaster event should • be captured • (ordering, imaging, receiving and preprocessing) • be provided • (authorization, publishing and transfer) • be stored • (save to disks and databases, temporary storage) • be managed • (metadata generating, re-formatting, registration) • be archived • (operational and long term storage) • be reused • (scientific study and comparative using) We are here Way to go

  14. Ecosystem of HDDG UNOOSA ISDR UN-Spider ICSU HDDG IRDR IPO Disaster SBA GEOSS Tasks ADC Disaster Suffered Country CEOS & UN Disaster Charter

  15. Data Collection Points (DCPs) of HDDG DCP @Europe DCP @NA DCP @Aisa HDDG DCP @Africa DCP @SA

  16. HDDG Technical Overview • For data provider • Distributed data collection storages around the world (At least one DCP for every continental ?) • Decentralized architecture (Grid..) • OGC compatible integration middleware for existent data infrastructures • Original format data upload • Multi-point upload • For data user • One-stop portal for accessing • Self-defined portal and Local language service • Free access to all metadata and security access to physical data

  17. HDDG Architecture Regional Portal Thematic Portal Portal Engine Distributed Clearinghouse GEOSS Data Infrastructure Data Collection Points Space Agency Data Resource Data Resource

  18. Disaster Field Portals Data Modeling Fast Process Tools Data Harvest Clearinghouse Data Collection Data Storage

  19. Future of HDDG • HDDG is widely being consulted with potential support communities and users • Interest and supports have given by • CEOS/WGISS • UN-SPIDER • ICSU/IRDR • UNGaid /e-SDDC • ISDE • China (CAS) • GENESI-DR • ……

  20. Questions to be thought • Data Policy • from observation data provider • from thematic information provider • from data covered country • Cooperate with world-level activities • International Charter, UN-SPIDER, ICSU/IRDR • to connect with and response to the disaster call • Collaboration with operational Data System • technical approach (NG-SDI) • Long term operation mechanism

  21. Suggested Cooperation Opportunities • To contribute the DCP (data collection point) for Asia and North American • DCP@Asia • CAS (CNIC&CEODE) has decided to provide 100TB on-line space • DCP@NA • Who will be the hoster? • To collaborate on the developing of the virtual SDI components • A prototype is scheduled to be presented by CAS(CEODE&CNIC) to UN-SPIDER and ICSU/IRDR this November (GEOSS summit @ Beijing). • Similar prototype study is desired to be taken by US partner. • Joint team to work together

  22. Chinese Prototype @ 2010-11

  23. Guoqing Li (gqli@ceode.ac.cn)

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