Scheduling the coverage of a planet by scientific instruments on board spacecrafts under observational constraints is central in a significant number of current and future missions for the exploration of the solar system. In this paper, we describe the components and algorithms of a software used to study early-phase mission design or to schedule daily operations of currently in-flight spacecraft. The scheduling problem at hand is usually a large combinatorial problem. A discretization process is described and several ordering algorithms are designed and compared. Experiments show that high-quality schedules can be produced by approaches combining reasoning about rolling, coverage and priorities.


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    Title :

    Scheduling the Mapping of a planet under geometrical constraints


    Contributors:

    Publication date :

    2020-10-19


    Type of media :

    Preprint


    Type of material :

    No indication


    Language :

    English



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