Space Images for NASA/JPL

Space Images for NASA/JPL is an Apple iPhone application that allows the general public to access featured images from the Jet Propulsion Laboratory (JPL). A back-end infrastructure stores, tracks, and retrieves space images from the JPL Photojournal Web server, and catalogs the information into a streamlined rating infrastructure.

Sample Screen Shots of the Space Images iPhone Application: The splash screen (a) is displayed during the initial application start up. The title and image thumbnails (b) are scrollable lists. When clicked, it will show the images in detail, as well as a caption describing the image (c), (d). The user can rate the images by giving a star rating from 1 to 5. In addition, there is an option to share the image by e-mail or save it to the user’s iPhone (e). Images can also be retrieved through their categories or from the search results (f)." class="caption" align="left">This system consists of four distinguishing components: image repository, database, server-side logic, and iPhone application. The image repository contains images from various JPL flight projects. The database stores the image information as well as the user rating. The server-side logic retrieves the image information from the database and categorizes each image for display. The iPhone application is an interfacing delivery system that retrieves the image information from the server for each Apple iPhone user. Also created is a reporting and tracking system for charting and monitoring usage.

Unlike other iPhone image applications, this system uses the latest emerging technologies to produce image listings based directly on user input. This allows for countless combinations of images returned. The back-end infrastructure uses industry-standard coding and database methods, enabling future software improvement and technology updates. The flexibility of the system design framework permits multiple levels of display possibilities and provides integration capabilities.

Unique features of the software include image retrieval from a selected set of categories, image Web links that can be shared among e-mail users, and image metadata searchable for instant results (see figure).

This work was done by Karen Boggs, Sandy C. Gutheinz, Susan M. Watanabe, Boris Oks, Jeremy M. Arca, Alice Stanboli, Martin Perez, Rebecca Whatmore, Minliang Kang, and Luis A. Espinoza of Caltech and Justin Moore of Moore Boeck for NASA’s Jet Propulsion Laboratory. For more information, contact This email address is being protected from spambots. You need JavaScript enabled to view it..

This software is available for commercial licensing. Please contact Daniel Broderick of the California Institute of Technology at This email address is being protected from spambots. You need JavaScript enabled to view it.. Refer to NPO-47264.

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