HR: 1340h
AN: NG43A-0442    [Abstracts]
TI: Visual Data Mining for Remote Sensing Data Sets
AU: * Braverman, A
EM: Amy.Braverman@jpl.nasa.gov
AF: Jet Propulsion Laboratory, Mail Stop 126-347 4800 Oak Grove Drive, Pasadena, CA 91109-8099 United States
AU: Kahn, B
EM: Brian.Kahn@jpl.nasa.gov
AF: Jet Propulsion Laboratory, 4800 Oak Grove Drive, Pasadena, CA 91109-8099 United States
AB: NASA's Earth Observing System (EOS) produces vast quantities of satellite data intended for the study of global climate change, its consequences for life on Earth, and the impact of human activities on it. However, EOS data sets are so large and complex that it is difficult, if not impossible, to understand their large scale structure and draw conclusions that could help inform the debate over climate change. We present here a prototype data mining tool for visualizing structure and exploring these massive data sets. It's use is demonstrated on data from JPL's Multi-angle Imaging SpectroRadiometer.
DE: 3240 Chaos
DE: 1694 Instruments and techniques
DE: 1610 Atmosphere (0315, 0325)
DE: 1640 Remote sensing
DE: 0394 Instruments and techniques
SC: Nonlinear Geophysics [NG]
MN: 2004 AGU Fall Meeting