Rendering High-Resolution Space Data


Arizona State University (Tempe Campus)


Cobalt Class (2019 – 2020)


Christian Herrera, Computer Science
Ryan Howe, Computer Science, Electrical Engineering (Double Major)
Brent Ottley, Computer Science (Software Engineering)
Stefan Savic, Computer Science (Software Engineering)
Jeremy Seay, Computer Science


Ernest Cisneros, Psyche Science Data Center Manager, School of Earth and Space Exploration, ASU


Dr. Ming Zhao, Associate Professor, ASU School of Computing, Informatics, and Decision Systems Engineering
Dr. Helen Chavez, Lecturer, School of Computing, Informatics, and Decision Systems Engineering, ASU


In preparation for arrival at Psyche, Psyche team members seek to accelerate the rendering of Web Mapping Service data, to minimize lag when rendering hi-resolution datasets that have a large number (count) of images and/or those images are of a sufficiently high resolution (number of pixels). The capstone team is working to provide a solution that includes unit tests for new functionality as well as documentation outlining the implementation provided.

This work was created in partial fulfillment of Arizona State University Capstone Courses “CSE 485-486”. The work is a result of the Psyche Student Collaborations component of NASA’s Psyche Mission ( “Psyche: A Journey to a Metal World” [Contract number NNM16AA09C] is part of the NASA Discovery Program mission to solar system targets. Trade names and trademarks of ASU and NASA are used in this work for identification only. Their usage does not constitute an official endorsement, either expressed or implied, by Arizona State University or National Aeronautics and Space Administration. The content is solely the responsibility of the authors and does not necessarily represent the official views of ASU or NASA.