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Conference Paper: BepiColombo MPO science planning concept

TitleBepiColombo MPO science planning concept
Authors
Issue Date2010
Citation
SpaceOps 2010 Conference, 2010 How to Cite?
AbstractThe proposed science operations concept for the BepiColombo Mercury Planetary Orbiter is presented. Building on lessons learnt from previous ESA planetary missions, the manner in which the mission constraints drive the planning concept and system architecture is discussed. The conceptual approach of a "Science Themes Table" is described as a means to define the science observations. The proposed concept shows how the science objectives continuously drive the planning of payload operations and how an intelligent science planning and data handling system assists the science operations team to schedule payload operations without losing sight of their associated higher-level objectives. © 2010 by ESA.
Persistent Identifierhttp://hdl.handle.net/10722/208970

 

DC FieldValueLanguage
dc.contributor.authorLefort, Jayne-
dc.contributor.authorMiddleton, Helen R.-
dc.contributor.authorMcAuliffe, Jonathan P.-
dc.contributor.authorDe La Fuente, Sara-
dc.contributor.authorHanowski, Nick-
dc.contributor.authorPerez, Fernando-
dc.contributor.authorFrew, David J.-
dc.contributor.authorBenkhoff, Johannes-
dc.contributor.authorKoschny, Detlef V.-
dc.date.accessioned2015-03-23T02:02:24Z-
dc.date.available2015-03-23T02:02:24Z-
dc.date.issued2010-
dc.identifier.citationSpaceOps 2010 Conference, 2010-
dc.identifier.urihttp://hdl.handle.net/10722/208970-
dc.description.abstractThe proposed science operations concept for the BepiColombo Mercury Planetary Orbiter is presented. Building on lessons learnt from previous ESA planetary missions, the manner in which the mission constraints drive the planning concept and system architecture is discussed. The conceptual approach of a "Science Themes Table" is described as a means to define the science observations. The proposed concept shows how the science objectives continuously drive the planning of payload operations and how an intelligent science planning and data handling system assists the science operations team to schedule payload operations without losing sight of their associated higher-level objectives. © 2010 by ESA.-
dc.languageeng-
dc.relation.ispartofSpaceOps 2010 Conference-
dc.titleBepiColombo MPO science planning concept-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.2514/6.2010-1966-
dc.identifier.scopuseid_2-s2.0-84880942460-

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