Distribution of SO2 and Other Compounds on Io Surface From Regional and Local NIMS Observations: Links With Volcanoes

Details Distribution of SO2 and Other Compounds on Io Surface From Regional and Local NIMS Observations: Links With Volcanoes Distribution of SO2 and Other Compounds on Io Surface From Regional and Local NIMS Observations: Links With Volcanoes

May 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusm.p22a..08d&link_type=abstract

American Geophysical Union, Spring Meeting 2002, abstract #P22A-08

Other

5455 Origin And Evolution, 5464 Remote Sensing, 5470 Surface Materials And Properties, 5480 Volcanism (8450), 6218 Jovian Satellites

Scientific paper

Two additional successful fly-bys of Io by the resistant Galileo spacecraft occurred in 2001 (orbits I31, I32). These opportunities allowed the Near Infrared Mapping Spectrometer to acquire new data which enrich the important collection of local and regional IR spectral images of the satellite inherited from the previous fly-bys (I24, I25 and I27). The images target active volcanoes and the surrounding regions with a spatial resolution ranging from 2 to 30 km.pixel-1. They map thermal emission from hot-spots and the distribution of SO2 and other compounds in the 1.0-4.7 μ m spectral range at 12 wavelengths. In an effort to understand the nature, dynamics and evolution of volatile eruptions at different volcanic centers, we follow two complementary approaches to analyse the NIMS data. First we use solid SO2 as a tracer of the volcanic processes. The areal abundance of the frost and its mean grain size show a good correlation with two spectral ratios that can be calculated for each pixel of the NIMS image cubes (Douté et al., 2002). We use a reflectance model to quantify these dependencies and to invert the data. As a result, maps of SO2 abundance and granularity are obtained which can be correlated to distinguish four different physical units. The distribution of these SO2 units indicates zones of condensation, metamorphism and sublimation linked with the dynamics of volcanic gases, thermal emission and solar flux. Second we extract, from the image cubes, spectral end-members characterized by unique non SO2 absorption. They define several classes into which most of the spectra of the observations can be classified. The resulting image classification is compared with the SO2 maps and the corresponding SSI images to infer the nature and emplacement mode of the volcanic volatiles.

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