Rendering High-Resolution Space Data


Arizona State University (Tempe Campus)


Iron Class (2018 – 2019)

Student Team

Everett Graves, Computer Systems Engineering
Timothy Huynh, Computer Systems Engineering
George Radau, Computer Systems Engineering

Scientific & Technical Guidance

Ernest Cisneros, Psyche Science Data Center Manager (ASU)

Academic Guidance

Dr. Ryan Meuth, Professor of Practice, Computing, Informatics, and Decision Systems Engineering

Project Description

In preparation for arrival at Psyche, the team undertook a project to accelerate the rendering of Web Mapping Service data, to minimize lag when rendering high-resolution datasets. Lunaserv currently has the ability to handle global data sets, but suffers performance issues when attempting to render the LROC (Lunar Reconnaissance Orbiter Camera) data set, owing to the large number (count) and high resolution (number of pixels). The Psyche team seeks to solve this issue before Psyche data are collected.

This work was created in partial fulfillment of Arizona State University Capstone Courses “CSE 423-424”. 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.