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Integration and Management of Diverse Environmental Data Sets Cameron Kiddle Research Fellow Grid Research Centre University of Calgary
Outline Data Challenges GeoChronos (Spectral Libraries)  Spectral Library Demonstration Cloud Services for Water Management Cloud Services for Water Management Demonstration Summit 09  Oct. 14, 2009
Data Challenges - Acquisition Many different data sources Different regulations/mechanisms for accessing data Lack of automation Finding the right data Summit 09  Oct. 14, 2009
Data Challenges - Management Scattered and unorganized data Inadequate tools for recording/maintaining metadata Data without metadata is meaningless Lack of suitable metadata standards Validation of metadata Tracking provenance of data Summit 09  Oct. 14, 2009
Data Challenges – Pre-processing Raw data typically cannot be directly analyzed Significant amount of time spent preparing data for analysis Lack of automation  Summit 09  Oct. 14, 2009
GeoChronos Partners CANARIE (NEP-1)  Center for Earth Observation Sciences, University of Alberta  Cybera  Grid Research Centre, University of Calgary  Summit 09  Oct. 14, 2009
GeoChronos An on-line platform (http://geochronos.org/) For: Earth Observation Scientists Facilitating: Collaboration  between scientists Application  access, management and sharing Data  access, management and sharing Leveraging: Web 2.0 and social networking technologies Cloud computing technologies Semantic Web technologies Summit 09  Oct. 14, 2009
GeoChronos Data Solutions - Spectral Libraries Store, share and browse spectral data View spectral plots, metadata, ancillary data and maps Manage and generate metadata for spectra Create and share metadata schemas Technology iRODS ( http://www.irods.org/ ) for data storage/management Semantic Web technologies such as RDF (Resource Description Framework) to link/relate data Next Steps Generalization of spectral library solution - acquire, store, manage, browse and share other types of data (i.e., satellite, flux, phenology, meteorological, etc.) Automate data workflows (i.e., mosaic, reproject and subset MODIS data) using cloud-based services Summit 09  Oct. 14, 2009
Spectral Library - Demonstration Summit 09  Oct. 14, 2009
Spectral Library - Browse Summit 09  Oct. 14, 2009
Spectral Library - Metadata Summit 09  Oct. 14, 2009
Spectral Library - Ancillary Data Summit 09  Oct. 14, 2009
Cloud Services for Water Management Partners Alberta Advanced Education and Technology Alberta WaterSMART Cybera Geosensor Web Lab, University of Calgary Grid Research Centre, University of Calgary Tesera Systems Inc Summit 09  Oct. 14, 2009
Cloud Services for Water Management In preliminary stages of project Explore use of cloud services to store, manipulate and expose data related to water management Link and correlate a wide variety of data from a large number of sources Cloud-based analysis and visualization tools Investigate integration with existing Alberta WaterPortal (http://www.albertawater.com/) Summit 09  Oct. 14, 2009
Cloud Services for Water Management -  Demonstration Summit 09  Oct. 14, 2009
Data Types and Locations Displayed on Google Earth Summit 09  Oct. 14, 2009
Water Flow Data Shown using Google Visualization API Summit 09  Oct. 14, 2009
Integrating and Visualizing Different Data Sets From Calgary’s Flood in 2005 on Google Earth Summit 09  Oct. 14, 2009
Contact Information Summit 09  Oct. 14, 2009 Cameron Kiddle [email_address] http://pages.cspc.ucalgary.ca/~kiddlec/ http://grid.ucalgary.ca/

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Integration and Management of Diverse Environmental Data Sets

  • 1. Integration and Management of Diverse Environmental Data Sets Cameron Kiddle Research Fellow Grid Research Centre University of Calgary
  • 2. Outline Data Challenges GeoChronos (Spectral Libraries) Spectral Library Demonstration Cloud Services for Water Management Cloud Services for Water Management Demonstration Summit 09 Oct. 14, 2009
  • 3. Data Challenges - Acquisition Many different data sources Different regulations/mechanisms for accessing data Lack of automation Finding the right data Summit 09 Oct. 14, 2009
  • 4. Data Challenges - Management Scattered and unorganized data Inadequate tools for recording/maintaining metadata Data without metadata is meaningless Lack of suitable metadata standards Validation of metadata Tracking provenance of data Summit 09 Oct. 14, 2009
  • 5. Data Challenges – Pre-processing Raw data typically cannot be directly analyzed Significant amount of time spent preparing data for analysis Lack of automation Summit 09 Oct. 14, 2009
  • 6. GeoChronos Partners CANARIE (NEP-1) Center for Earth Observation Sciences, University of Alberta Cybera Grid Research Centre, University of Calgary Summit 09 Oct. 14, 2009
  • 7. GeoChronos An on-line platform (http://geochronos.org/) For: Earth Observation Scientists Facilitating: Collaboration between scientists Application access, management and sharing Data access, management and sharing Leveraging: Web 2.0 and social networking technologies Cloud computing technologies Semantic Web technologies Summit 09 Oct. 14, 2009
  • 8. GeoChronos Data Solutions - Spectral Libraries Store, share and browse spectral data View spectral plots, metadata, ancillary data and maps Manage and generate metadata for spectra Create and share metadata schemas Technology iRODS ( http://www.irods.org/ ) for data storage/management Semantic Web technologies such as RDF (Resource Description Framework) to link/relate data Next Steps Generalization of spectral library solution - acquire, store, manage, browse and share other types of data (i.e., satellite, flux, phenology, meteorological, etc.) Automate data workflows (i.e., mosaic, reproject and subset MODIS data) using cloud-based services Summit 09 Oct. 14, 2009
  • 9. Spectral Library - Demonstration Summit 09 Oct. 14, 2009
  • 10. Spectral Library - Browse Summit 09 Oct. 14, 2009
  • 11. Spectral Library - Metadata Summit 09 Oct. 14, 2009
  • 12. Spectral Library - Ancillary Data Summit 09 Oct. 14, 2009
  • 13. Cloud Services for Water Management Partners Alberta Advanced Education and Technology Alberta WaterSMART Cybera Geosensor Web Lab, University of Calgary Grid Research Centre, University of Calgary Tesera Systems Inc Summit 09 Oct. 14, 2009
  • 14. Cloud Services for Water Management In preliminary stages of project Explore use of cloud services to store, manipulate and expose data related to water management Link and correlate a wide variety of data from a large number of sources Cloud-based analysis and visualization tools Investigate integration with existing Alberta WaterPortal (http://www.albertawater.com/) Summit 09 Oct. 14, 2009
  • 15. Cloud Services for Water Management - Demonstration Summit 09 Oct. 14, 2009
  • 16. Data Types and Locations Displayed on Google Earth Summit 09 Oct. 14, 2009
  • 17. Water Flow Data Shown using Google Visualization API Summit 09 Oct. 14, 2009
  • 18. Integrating and Visualizing Different Data Sets From Calgary’s Flood in 2005 on Google Earth Summit 09 Oct. 14, 2009
  • 19. Contact Information Summit 09 Oct. 14, 2009 Cameron Kiddle [email_address] http://pages.cspc.ucalgary.ca/~kiddlec/ http://grid.ucalgary.ca/