Application of GIS for Data Quality Monitoring

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Application of GIS for Data Quality Monitoring in
the NPOESS Ground Data Processing System
Bonnie Reed, Scott Shipley, JoAnn Stauch, Daniel
Gillespie, Michael Walth Raytheon Steve Young,
Chunming Wang Northrop Grumman Joseph Mulligan,
John Overton, Joseph Zajic, Alan Goldberg NPOESS
IPO
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GIS Adaptation for Satellite Data Quality
Monitoring

• GIS-based Satellite Data Quality Monitoring
• Prototyped in ArcView 3.x ArcGIS 8.3 using EOS
  data
• Transitioning to ArcGIS 9.x with ArcGlobe

• Map to Sensor Space Transformations
• User-defined Sensor Space domain
• Analysis of satellite data without image
  transformation

• Automated data collection and analysis
• Quick Look comparison with in situ data
• Match-up records for off-line analysis
• User-defined responses to Data Quality
  Notification (DQN) events
• Manual ad hoc interaction
• Exploits out of the box GIS capabilities

• Addressed in this presentation

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Orthographic Map Space
N
Ephemeris
i
Orbital plane
Ground track
Vsat
h sat
Cross-track granules
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Sensor Space MODIS/Terra Band 8 (413 nm)
Cross-track pixel (x) by scan line (y,t)
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ArcGIS 8.3 Raster Calculator MODIS Cloud Mask
SST
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MODIS Cloud Mask SST ArcGIS 8.3 Raster
Calculator or User Scripts
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Quick Look Comparisonwith in situ Data MODIS
Buoy SST
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Automated Constructionof Quick Look records

• Acquire AQUA/Terra ephemeris and hourly buoys
• 2. Calculate MODIS granule plan
• Select concurrent/collocated granules
• Acquire MODIS granules

?
FTP//
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Automated Constructionof Quick Look Records
41009
41001
41003

• Extract SDR/EDR sections around buoy sites
• (Declare Sensor Space)
• Assemble intercomparison records
• 7. Analyze long term collection of
  intercomparison records

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10
User-defined Responses to Data Quality
Notification (DQN) Events
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Interactive Data AcquisitionMODIS/Terra 18 Aug
2003
? Spatial/relational granule selection
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Summary

• GIS supports automated and manual Satellite
  Data Visualization and Data Quality Monitoring
• demonstrated with ESRI ArcGIS 8.x
• Map-Sensor Space Transformations support
  Analysis of satellite data without image
  transformation
• Automated data collection and analysis
  addresses a full range of satellite and ancillary
  data
• surface obs (buoy, METAR, AERONET)
• upper air (RAOB, Dobson, aircraft, )
• model analyses and forecasts (NCEP, )
• heritage products (Terra, Aqua, )