Statistics – Applications
Scientific paper
May 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agusmin43e..02d&link_type=abstract
American Geophysical Union, Fall Meeting 2007, abstract #IN43E-02
Statistics
Applications
5464 Remote Sensing, 5480 Volcanism (6063, 8148, 8450), 5494 Instruments And Techniques, 6218 Jovian Satellites, 6280 Saturnian Satellites
Scientific paper
A new era in planetary exploration is dawning, with the promise of increased mission science return through use of onboard autonomy. Dynamic processes such as volcanism have shaped the evolution of the terrestrial planets and continue to play major roles in altering the surface of Earth, the jovian moon Io, the Saturn moon Enceladus, and the Neptune moon Triton. Other bodies may be volcanically active: the moons Europa and Titan are prime candidates for recent or current cryovolcanic activity. Deep-space missions require onboard autonomy and data processing to identify specific dynamic processes and react quickly enough to retask the spacecraft and instruments to obtain more data of what if often a transient phenomenon, thus overcoming communication delays. The potential for increased science return possible from such a capability has been successfully demonstrated by the Autonomous Sciencecraft Experiment (ASE), flying on the Earth Observing- 1 spacecraft in Earth orbit. ASE has demonstrated increased science return by monitoring volcanoes and retasking the spacecraft to obtain additional data when thermal activity is detected [1,2]. Onboard autonomy is a necessity for certain probe missions (aerobots, submersibles, balloons) merely to survive, and can increase science return through in situ detection of dynamic processes. Such technology exists, allowing a step in the normal planetary exploration timeline to be removed. Now, instead of a discovery being investigated by the next mission, further investigations can be performed on the spot, driven by onboard science data analysis applications controlling resource allocation. In particular, the proposed Europa Geophysical Explorer can use ASE-like data classifiers to search appropriate infrared data for tell-tale signs of active or recent cryovolcanic activity, thus identifying high-value sites for in situ investigation. Similar applications can be used on comet rendezvous missions to determine comet surface warm spots, possible sites for imminent degassing (and sites possibly to avoid, or home in on, depending on mission science goals). This work was carried out at the Jet Propulsion Laboratory-California Institute of Technology, under contract to NASA. [1] Chien, S. et al. (2004) The EO-1 Autonomous Science Agent, Proceedings of the 2004 Conferences on Autonomous Agents and Multi-agent Systems (AAMAS), New York City, USA, July 2004. [2] Davies, A. G. et al. (2006) Monitoring active volcanism with the Autonomous Sciencecraft Experiment (ASE) on EO- 1, RSE, in press.
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