Getting%20to%20and%20Using%20our%20Data

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Getting to and Using our Data

• by
• Tom Whittaker
• University of Wisconsin-Madison
• SSEC/CIMSS
• for the
• Workshop on Satellite Data Applications and
  Information Extraction
• August, 2003

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The New Tools

• Whats common?
• Network enabled
• Java and Python
• No end-user cost
• Focus tools
• VISITview
• Unidatas IDV
• NASAs I.C.E.
• Hyper-spectral tools

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VISITview

• Developed for NWS/NESDIS teletraining
• used by FMI, ABoM, WMO, others
• AnimationS (AniS) applet spin-off
• Used for realtime collaborations
• Distance-learning
• Weather briefings
• Easy to use from your desktop
• On-line, always-available collaborations

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Unidatas Integrated Data Viewer

• Building a software toolkit framework for
  education community
• Community-driven development
• VisAD component library
• Remote and local data access in variety of
  formats
• Collaborations and scripting built-in
• IDV is first application - still evolving
• 5-year development project
• Designed to replace existing user applications
  (Gempak, WXP, McIDAS, etc.)

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NASAs Image Composite Editor

• Developed at SSEC for NASA Earth Observatory
• Provides flexible display and analysis of
  satellite images
• configurable modes
• color combinations, arithmetic combinations,
  animation, static display
• integrated analysis tools
• scatter plots (2D/3D), histograms (2D/3D),
  transect, area coverage, more to come
• Designed for browser-based, public use

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Hyper-spectral Analysis

• Third-generation toolkit for scientists
• VisAD data model and displays
• Seamless scripting through Python
• Key elements
• Integration of disparate data (MODIS, S-HIS,
  etc.)
• Local or remote data access
• Easy user extensibility
• Partition work in clustered environments
• Evolves to meet needs
• Developers working with scientists

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The Future - is Here!

• Remote data access of desired sub-sets
• DODS/OpeNDAP, ADDE, ...
• WMS, WFS, .
• THREDDS cataloging to locate data
• Spatial and temporal integration
• Convergence of traditional atmospheric data with
  GIS
• Consistent Data Model essential
• Convenient, network-enabled collaborations
• End-user configurability