In the past decade, the number of Earth observation satellites has
burgeoned. EO missions have been conceived to study different
aspects and interacting pieces of the Earth system and scientists
are designing increasingly complex, interdisciplinary campaigns to
exploit multiple EO assets. In general, each EO mission has its
own observation scheduling system, leading to a diverse array of
specialized scheduling systems each tailored to a mission's unique
requirements and characteristics. There is therefore the opportunity
to allow planning and scheduling algorithms to assist a scientist
requesting a set of observations, optimized over multiple sensors,
to meet a science goal. This paper addresses the formal specification
of a request to allow such algorithms to be exploited.
The most basic parameters of a campaign request include the list
of sensors required or desired in combination with the time frames
or intervals and geographic regions for which the observation(s)
are needed. Temporal and geographic parameters may be dependent
on exogenous events, such as the occurrence of a fire, hurricane,
volcanic eruption, or seasonal event. The scientist would also
like to specify constraints on the needed quality of observations
(e.g. cloud cover) and may have dependencies between parameters.
Fulfilling preferences (e.g. new data are preferable
to older data) may improve the quality of subsequent scientific
analysis. The cost of the set of observations will also be an
important contraint. In this paper, we propose a structure for
expressing these parameters and constraints. We use a fire emissions
model validation campaign as illustration.
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