Fast forward modeling of Titan's infrared spectra to invert VIMS/Cassini hyperspectral images

Sébastien Rodriguez, Stéphane Le Mouélic, Pascal Rannou, Jean Philippe Combe, Lucille Le Corre, Gabriel Tobie, Jason W. Barnes, Christophe Sotin, Robert H. Brown, Kevin H. Baines, Bonnie J. Buratti, Roger N. Clark, Phil D. Nicholson

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, conduct an intensive survey of Titan with the objective to understand the complex nature of the atmosphere and surface of the mysterious moon and the way they interact. Accurate radiative transfer modeling is necessary to analyze Titan's infrared spectra, but are often very computer resources demanding. As Cassini has gathered hitherto millions of spectra of Titan and will still observe it until at least 2010, we report here on the development of a new rapid, simple and versatile radiative transfer model specially designed to invert VIMS datacubes.

Original languageEnglish (US)
Title of host publicationWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing
Subtitle of host publicationEvolution in Remote Sensing
DOIs
StatePublished - 2009
EventWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - Grenoble, France
Duration: Aug 26 2009Aug 28 2009

Publication series

NameWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

Other

OtherWHISPERS '09 - 1st Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
Country/TerritoryFrance
CityGrenoble
Period8/26/098/28/09

Keywords

  • Clouds
  • Near-infrared
  • Radiative transfer
  • Spectro-imagery
  • Surface
  • Titan: haze

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

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