Sally J. Westmoreland, Ph.D.
Julie Rathbun, Ph.D.
Unique volcanic surface process present on the Galilean moon Io has made it one of the most astonishing celestial bodies ever observed. An abundance of volcanic activity on Io was not only the first discovered within the solar system, but eventually categorized Io as the most geologically active object ever studied. NASA embarked on the Galileo mission by sending a spacecraft equipped with three remote sensing instruments - Solid State Imaging Device (SSI), Near-Infrared Mapping Spectrometer (NIMS), and the Photopolarimeter-Radiometer (PPR) to study Jupiter and the Galilean moons exclusively. These three instruments provided researchers with multipspectral imagery and surface temperature data so that they would attempt to assess the variety of tectonic and volcanic activity, and identify any relationships to the surface modification processes. The goal of this project was to create a prototype GIS for the Amirani region and convert data collected by the three instruments into an appropriate GIS compatible dataset. Working in a GIS, the user can manipulate and visualize the data to make it more interpretable and provide the ability to derive any useful information about it. The SSI and NIMS image datasets were co-registered to a common coordinate system. Three tabular PPR datasets were processed in a specific format to simulate actual observations made by the instrument. Another goal of this project is to communicate and distribute the results of these datasets to promote interest of GIS within the Io research community. This was done through the compilation of all of the data into an ArcIMS website that allows researchers to simultaneously examine all of the datasets through a basic internet connection and determine if the system and datasets are suitable for their research needs.
Barrett, S. E. (2006). Mapping the Amirani Region of Jupiter’s Moon Io Using Multispectral Imagery and GIS (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/25