 |
| Titel |
Spatial correlation between the mineralogic and geologic maps of Vesta: a GIS based approach |
| VerfasserIn |
Alessandro Frigeri, Maria Cristina De Sanctis, Eleonora Ammannito, Aileen Yingst, David Williams, Fabrizio Capaccioni, Federico Tosi, Ernesto Palomba, Francesca Zambon, Ralf Jaumann  , Carle Pieters, Carol Raymond, Christopher Russell |
| Konferenz |
EGU General Assembly 2015
|
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250110131
|
| Publikation (Nr.) |
 EGU/EGU2015-10105.pdf |
|
|
|
|
|
| Zusammenfassung |
| Between July 2011 and September 2012, the NASA/Dawn mission has mapped the surface of
Vesta with images from the Framing Camera (FC), spectral data from the Visible and Infrared
Mapping Spectrometer (VIR), and elemental data from the Gamma Ray and Neutron
Detector (GRaND).
The successful acquisition of imagery from FC and VIR allowed us to produce image
mosaics reaching 20 meters per pixel and global mineralogic maps at 100 meters per
pixel.
A global geologic map of Vesta has been recently published. Geologic uits and structures
have been identified and put into their stratigraphic context using FC image-mosaic and the
digital terrain model derived from stereo image processing.
The VIR spectra have been synthesized into spectral parameters or indicators that have
been used to produce quadrangle and global maps showing the mineralogic diversity across
Vesta, through the variation of the compositional and the physical state of the pyroxene-rich
lithologies, which are typical of Vesta.
We have designed a Geographic Information System (GIS) approach to correlate
quantitatively the geologic map and the spectral parameters maps of Vesta, applying
statistical analysis and informational techniques to the geospatial aspect of the geologic and
mineralogic data. The Geographic Resources Analysis Support System (GRASS) Software
version 7 has been used for the analysis, while data has been stored in an Open Gis
Consortium (OGC) compatible digital format, which guarantees the interoperability with
other GIS and other computational software packages.
Here we present the work done so far on the most up-to-date global geologic and
mineralogic dataset available for Vesta. |
|
|
|
|
|
|