Skip to main content Accessibility help
×
Home

Data mining and visualization from planetary missions: the VESPA-Europlanet2020 activity

Abstract

This paper presents the VESPA (Virtual European Solar and Planetary Access) activity, developed in the context of the Europlanet 2020 Horizon project, aimed at providing tools for analysis and visualization of planetary data provided by space missions. In particular, the activity is focused on minor bodies of the Solar System.The structure of the computation node, the algorithms developed for analysis of planetary surfaces and cometary comae and the tools for data visualization are presented.

    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Data mining and visualization from planetary missions: the VESPA-Europlanet2020 activity
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Data mining and visualization from planetary missions: the VESPA-Europlanet2020 activity
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Data mining and visualization from planetary missions: the VESPA-Europlanet2020 activity
      Available formats
      ×

Copyright

References

Hide All
Bennett, et al. Acessing PDS data in pipeline processing and websites through PDS Geoscience orbital data explorer’s web-based API(REST) interface, 2014, 45 th Lunar and Planetary Science Conference 2014, LPI Contribution No. 1777, p.1026
Colangeli, L. et al. GIADA: The Grain Impact Analyser and Dust Accumulator for the Rosetta space mission., 1997 Advances in Space Research, 39, 3, 446450.
Coradini, A. et al. VIRTIS: the imaging spectrometer of the Rosetta mission., 1997 Advances in Space Research, 24, 9, 10951104.
De Sanctis, M. C. et al. The VIR Spectrometer., 2011 Space Science Reviews, 163, 329369.
Erard, S. et al. Planetary Science Virtual Observatory Architecture, 2014 Astronomy and Computing, 7–8, 71–80, doi:10.1016/j.ascom.2014.07.005
Ivanovski, S. L. et al. Dynamics of aspherical dust grains in a cometary atmosphere: I. axially symmetric grains in a spherically symmetric atmosphere), 2017 Icarus, 282, 333350
Longobardo, A. et al. Photometric behavior of spectral parameters in Vesta dark and bright regions as inferred by the Dawn VIR spectrometer.), 2014 Icarus, 240, 2035.
Palomba, E. et al. Composition and mineralogy of dark material units on Vesta, 2014 Icarus, 240, 5872.
Russell, C. T. et al. Dawn at Vesta: Testing the protoplanetary paradigm, 2012 Science, 336, 6082, 684686.
Zinzi, A. et al. Dawn at Vesta: Testing the protoplanetary paradigm, 2012 Astronomy and Computing, http://dx.doi.org/10.1016/j.ascom.2016.02.006
MathJax
MathJax is a JavaScript display engine for mathematics. For more information see http://www.mathjax.org.

Keywords

Data mining and visualization from planetary missions: the VESPA-Europlanet2020 activity

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed