A global shape model for Saturn's moon Enceladus from a dense photogrammetric control network

By: , and 

Links

Abstract

A planetary bodys global shape provides both insight into its geologic evolution, and a key element of any Planetary Spatial Data Infrastructure (PSDI). NASAs Cassini mission to Saturn acquired more than 600 moderate- to high-resolution images (< 500 m/pixel) of the small, geologically active moon Enceladus. The moons internal global ocean and intriguing geology mark it as a candidate for future exploration and motivates the development of a PSDI. Recently, Bland et al. (2018) provided two foundational elements of this PSDI: geodetic control and orthoimages. To provide the third foundational data set we generate a new shape model for Enceladus from Cassini images and a dense photogrammetric control network (nearly 1 million tie points) using the United States Geological Surveys Integrated Software for Imagers and Spectrometers (ISIS) and the Ames Stereo Pipeline (ASP). The new shape model is near-global in extent and gridded to 2.2 km/pixel, ~50 times better resolution than previous global models. Our calculated triaxial shape, rotation rate, and pole orientation for Enceladus is consistent with current IAU values to within the error; however, we determined a new prime meridian offset (Wo) of 7.063o. We calculate Enceladus long-wavelength topography by subtracting the best-fit triaxial ellipsoid from our shape model. The result is comparable to previous global models but can resolve topographic features as small as 5-7 km across in certain areas. To evaluate the spatially varying quality of the model we calculate the point density (variable from 5 to more than 50 per pixel), normalized median absolute deviation of the points within each pixel (typically less than 100 m), and the minimum expected vertical precision of each point (ranging from 2 km to 29 m).

Additional publication details

Publication type Conference Paper
Publication Subtype Conference Paper
Title A global shape model for Saturn's moon Enceladus from a dense photogrammetric control network
DOI 10.5194/isprs-annals-V-3-2020-579-2020
Volume v-3-2020
Year Published 2020
Language English
Publisher International Society for Photogrammetry and Remote Sensing
Contributing office(s) Astrogeology Science Center
Description 8 p.
Larger Work Type Book
Larger Work Subtype Conference publication
Larger Work Title ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
First page 579
Last page 586
Conference Title International Society for Photogrammetry and Remote Sensing congress XXIV
Other Geospatial Enceladus
Google Analytic Metrics Metrics page
Additional metadata about this publication, not found in other parts of the page is in this table