1. Getting to and Using our Databy
Tom Whittaker
University of Wisconsin-Madison
SSEC/CIMSS
for the
Workshop on Satellite Data Applications and Information Extraction
August, 2003

2. The New Tools What’s common? Focus tools: Network enabled
Java and Python
No end-user cost
Focus tools:
VISITview
Unidata’s IDV
NASA’s I.C.E.
Hyper-spectral tools

3. 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

5. Unidata’s 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.)

9. NASA’s 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

12. 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

15. 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