  The Cassini spacecraft made a gravity assist flyby of Jupiter in December
2000. The Imaging Science Subsystem (ISS) acquired images of the planet that
covered the visual range with filters sensitive to the distribution of clouds
and hazes, their altitudes and color. We use a selection of these images to
build high-resolution cylindrical maps of the planet in 9 wavelengths. We
explore the spatial distribution of the planet reflectivity examining the
distribution of color and altitudes of hazes as well as their relation. A
variety of analyses is presented: a) Principal Component Analysis (PCA); b)
color-altitude indices; and c) chromaticity diagrams (for a quantitative
characterization of Jupiter "true" colors as they would be perceived by a human
observer). PCA of the full dataset indicates that six components are required
to explain the data. These components are likely related to the distribution of
cloud opacity at the main cloud, the distribution of two types of hazes, two
chromophores or coloring processes and the distribution of convective storms.
