Volume XLI-B4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 459-462, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-459-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B4, 459-462, 2016
https://doi.org/10.5194/isprs-archives-XLI-B4-459-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  14 Jun 2016

14 Jun 2016

A LIBRATION MODEL FOR ENCELADUS BASED ON GEODETIC CONTROL POINT NETWORK ANALYSIS

I. E. Nadezhdina1, A. E. Zubarev1, E. S. Brusnikin1, and J. Oberst1,2,3 I. E. Nadezhdina et al.
  • 1Moscow State University of Geodesy and Cartography (MIIGAiK), MIIGAiK Extraterrestrial Laboratory (MexLab), Gorokhovskiy pereulok, 4, Moscow, 105064, Russia
  • 2German Aerospace Center (DLR)
  • 3Technical University Berlin, Berlin, Germany

Keywords: Enceladus, photogrammetry image processing, 3D control point network, estimation of shape and forced libration

Abstract. A new global control point network was derived for Enceladus, based on Cassini and Voyager-2 image data. Cassini images were taken from 2005 to 2014, for Voyager we have only one flyby in the middle of 1981. We have derived 3D Cartesian coordinates for 1128 control points as well as improved pointing data for 12 Voyager and 193 Cassini images in the Enceladus-fixed coordinate system. The point accuracies vary from 55 m to 2900 m (average point accuracy – 221 m). From tracking of the control points we detect a librational motion described by a model which includes 3 different periods and amplitudes (Rambaux et al., 2011). We determine the amplitudes for each term. Our new control point network has a higher number of point measurements and a higher accuracy than previous data (Giese et al., 2014).