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Interoperability Among EOS Data Gateway, ECHO and CEOS

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Interoperability Among EOS Data Gateway, ECHO and CEOS INFEO Systems CEOS WGISS Subgroup Meeting May 9, 2002 Frascati Italy Chao-Hsi Chang NASA/EDG – PowerPoint PPT presentation

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Title: Interoperability Among EOS Data Gateway, ECHO and CEOS


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 others 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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