Principal components analysis of Jupiter VIMS spectra

G. Bellucci, V. Formisano, E. D'Aversa, R. H. Brown, K. H. Baines, J. P. Bibring, B. J. Buratti, F. Capaccioni, P. Cerroni, R. N. Clark, A. Coradini, D. P. Cruikshank, P. Drossart, R. Jaumann, Y. Langevin, D. L. Matson, T. B. McCord, V. Mennella, R. M. Nelson, P. D. NicholsonB. Sicardy, C. Sotin, M. C. Chamberlain, G. Hansen, K. Hibbits, M. Showalter, G. Filacchione

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


During Cassini - Jupiter flyby occurred in December 2000, Visual-Infrared mapping spectrometer (VIMS) instrument took several image cubes of Jupiter at different phase angles and distances. We have analysed the spectral images acquired by the VIMS visual channel by means of a principal component analysis technique (PCA). The original data set consists of 96 spectral images in the 0.35-1.05 μm wavelength range. The product of the analysis are new PC bands, which contain all the spectral variance of the original data. These new components have been used to produce a map of Jupiter made of seven coherent spectral classes. The map confirms previously published work done on the Great Red Spot by using NIMS data. Some other new findings, presently under investigation, are presented.

Original languageEnglish (US)
Pages (from-to)1640-1646
Number of pages7
JournalAdvances in Space Research
Issue number8
StatePublished - 2004
Externally publishedYes


  • Cassini
  • Great red spot
  • Jupiter
  • Visual-Infrared mapping spectrometer

ASJC Scopus subject areas

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Geophysics
  • Atmospheric Science
  • Space and Planetary Science
  • Earth and Planetary Sciences(all)


Dive into the research topics of 'Principal components analysis of Jupiter VIMS spectra'. Together they form a unique fingerprint.

Cite this