Finding the Unusual, Unexpected, Expected, or Otherwise Interesting Patterns in Large Earth Science Datasets

Friday, 19 December 2014
Ryan A Boller1, Mike McGann2, Taylor Gunnoe3, Shriram Ilavajhala4, Elizabeth Timmons1, Matthew F Cechini3, Jerome King3, Jeffrey E Schmaltz4, Joe T Roberts5, Christian Alarcon6, Thomas Huang5, Charles K Thompson5, Jeffrey R Hall7, Lucian Plesea8 and Kevin J Murphy1, (1)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (2)Columbus Technologies and Services Greenbelt, Elkridge, MD, United States, (3)Columbus Technologies and Services Inc., Greenbelt, MD, United States, (4)Sigma Space Corporation, Lanham, MD, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (6)Jet Propulstion Laboratory, Pasadena, CA, United States, (7)Jet Propulsion Laboratory, Pasadena, CA, United States, (8)ESRI, Redlands, CA, United States
By grinding decades of NASA's Earth data into imagery, serving it openly and responsively, and then building an interface to browse it, the Global Imagery Browse Services (GIBS) and Worldview client aim to transform the way "interesting" Earth observations are discovered. Taken together, this visual system provides a mechanism to interactively explore full-resolution imagery, compare it against other imagery, investigate differences over time, and finally enable a linkage back to the original data to encourage further analysis. The hope is that, by taking this visual approach to data discovery, the user will be able to rapidly discern unusual, unexpected, expected, or otherwise "interesting" patterns which are well-suited to human perception.

The user interface and system design decisions which support the visual reasoning processes listed above will be described for this session.