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Interoperability Among EOS Data Gateway, ECHO and CEOS’ INFEO Systems

Interoperability Among EOS Data Gateway, ECHO and CEOS’ INFEO Systems. CEOS WGISS Subgroup Meeting May 9, 2002 Frascati Italy Chao-Hsi Chang NASA/EDG. Overview. EOSDIS/EDG Review ECHO Operation Overview Interoperability Issues Conclusions. EOSDIS Manages Data from.

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Interoperability Among EOS Data Gateway, ECHO and CEOS’ INFEO Systems

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  1. Interoperability Among EOS Data Gateway, ECHO and CEOS’ INFEO Systems CEOS WGISS Subgroup Meeting May 9, 2002 Frascati Italy Chao-Hsi Chang NASA/EDG

  2. Overview • EOSDIS/EDG Review • ECHO Operation Overview • Interoperability Issues • Conclusions

  3. EOSDIS Manages Data from • EOS missions Landsat-7, QuikSCAT, Terra ACRIMSAT and Aqua • Pre-EOS missions (UARS, SeaWIFS, TOMS-EPm, TOPEX/Poseidon and TRMM) • All of the Earth Science Enterprise legacy data (e.g., Pathfinder and field experiments data sets)

  4. EOS Data Gateway (EDG) • Provides easy/centralized access to EOSDIS Products • http://eos.nasa.gov/imswelcome • Started as EOSDIS V0 IMS (1994) • 7 Core, plus Extended Attributes

  5. EDG Core Attributes • DATA_CENTER_ID • DATASET_ID • SOURCE • SENSOR • PARAMETER • CAMPAIGN • PROCESSING_LEVEL

  6. EDG Access • Currently: • 9 U.S. DAACs • 4 ECS Data Centers • 7 International Data Centers • Future: • Link to INFEO? • Other Data Providers through ECHO

  7. US DAACs • ASF – sea ice, polar processes • EDC (LP) – land processes • GHRC – hydrologic cycle, lighting • GSFC –atmospheric dynamics, global biosphere • JPL – ocean circulation, air-sea interaction • LaRC – radiation, clouds, aerosols • NSIDC – snow, ice, cryosphere and climate • ORNL – biogeochemical dynamics • SEDAC – human interaction with environment

  8. International Data Centers • BOM - Bureau of Meteorology (Australia) • CCRS - Canadian Centre for Remote Sensing • DLR_DFD - Deutsche Forschungsanstalt fur Luft-und Raumfahrt (Germany) • DSRS - Dundee Satellite Receiving Station (Scotland) • HEOC - Hatoyama Earth Observation Center (Japan) • IRE_CPSSI - IRE RAS Center of Processing and Storing the Space Information (Russia) • ISA_MEIDA - Israel Space Agency Middle East Interactive Data Archive

  9. EOSDIS Core System (ECS) • Four ECS Data Centers • EDC-ECS – Landsat 7, ASTER, MODIS (land) • GSFC-ECS – MODIS (atmospheric) • LaRC-ECS – ACRIM, CERES, MISR, MOPITT • NSIDC-ECS – MODIS (ice/snow)

  10. EOSDIS Data Volume • Terra spacecraft produces 194 gigabytes raw data per day. It exceeds 850 GB When processed to higher levels • In Aug. 1999 EOSDIS’ data totaled 284 terabytes. Within less than a year, Terra data have double EOSDIS total holdings • In addition, Landsat 7 is producing 150 MG of data per day

  11. ECS Data Model • Comprehensive and complex • 127 Classes (tables) • 297 Attributes • 8 categories • Data Originator, Collection, Granule, Spatial, Temporal, Contact, Algorithm, Document • Product Specific Attributes: PSA

  12. ECHO Operational Roles • Database administrator • Scheduler • Metadata knowledge-base expert • Valids coder

  13. ECHO Operation Activities • Account setup support • Data ingest support • Catalog maintenance • Order brokering support • Database table/oracle maintenance • System operations

  14. Account Set Up Support • Provider registration • Provider policy establishment & update • Access control management • Client initialization • User registration • Account status check

  15. Data Ingest Support • Metadata mapping • Provider testing • Metadata ingest • Metadata update

  16. Catalog Maintenance • Catalog service maintenance • Subscription service maintenance

  17. System Operations • System monitoring • System backups • Disaster recovery

  18. CINTEX/ECHO Link • Link through INFEO/EDG • Valids mapping for • MissionId vs. SOURCE (84/52%; 166 vs. 415) • ProcessingLevelId vs PROCESSING_LEVEL (8/62%; 13 vs. 9) • SensorId vs. SENSOR (140/47%; 294 vs. 672) • ThemeKeyword vs. PARAMETER (100% ?; 1135)

  19. CINTEX/ECHO Link (Cont.) • INFEO as ECHO Client? • Data centers join as ECHO data providers • Data centers’ client connects to ECHO • Link trough other regional metadata clearing-houses (e.g., CNES’ Metadata Office)

  20. Enhance Interoperability • Implement GCMD fourth level (Variable) science keywords in INFEO • Map existing valids regularly • Adapt each other’s un-matched valids • Reconcile valids naming guideline

  21. Conclusions • ECHO, a next generation framework for interoperability • Metadata quality is still the key to its success • Efforts like CIP is essential to bridge systems down the road

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