Titan's surface and atmosphere as seen by the vims hyperspectral imager onboard cassini

Sébastien Rodriguez, Stéphane Le Mouélic, Christophe Sotin, Thomas Cornet, Jason W. Barnes, Robert H. Brown

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The surface of Titan, the largest icy moon of Saturn, is veiled by a very thick and hazy atmosphere. The Visual and Infrared Mapping Spectrometer onboard the Cassini spacecraft, in orbit around Saturn since July 2004, conducts an intensive survey of Titan with the objective to understand the complex nature of the atmosphere and surface of this mysterious moon, and the way they interact. We review in this paper our long-term monitoring of Titan's surface and atmosphere with the VIMS instrument. We focus on the global mapping of Titan cloud cover and geological units, and discuss the challenging problem of the decorrelation between atmospheric and surface components.

Original languageEnglish (US)
Title of host publication2014 6th Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing, WHISPERS 2014
PublisherIEEE Computer Society
Volume2014-June
ISBN (Electronic)9781467390125
DOIs
Publication statusPublished - Oct 19 2017
Event6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 - Lausanne, Switzerland
Duration: Jun 24 2014Jun 27 2014

Other

Other6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014
CountrySwitzerland
CityLausanne
Period6/24/146/27/14

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Keywords

  • climate
  • infrared remote sensing
  • surface
  • Titan

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Rodriguez, S., Le Mouélic, S., Sotin, C., Cornet, T., Barnes, J. W., & Brown, R. H. (2017). Titan's surface and atmosphere as seen by the vims hyperspectral imager onboard cassini. In 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2014 (Vol. 2014-June). [8077593] IEEE Computer Society. https://doi.org/10.1109/WHISPERS.2014.8077593