Paper
5 December 2008 Optimizing societal benefit using a systems engineering approach for implementation of the GEOSS space segment
Brian D. Killough Jr., Stephen P. Sandford, L. DeWayne Cecil, Shelley Stover, Kim Keith
Author Affiliations +
Abstract
The Group on Earth Observations (GEO) is driving a paradigm shift in the Earth Observation community, refocusing Earth observing systems on GEO Societal Benefit Areas (SBA). Over the short history of space-based Earth observing systems most decisions have been made based on improving our scientific understanding of the Earth with the implicit assumption that this would serve society well in the long run. The space agencies responsible for developing the satellites used for global Earth observations are typically science driven. The innovation of GEO is the call for investments by space agencies to be driven by global societal needs. This paper presents the preliminary findings of an analysis focused on the observational requirements of the GEO Energy SBA. The analysis was performed by the Committee on Earth Observation Satellites (CEOS) Systems Engineering Office (SEO) which is responsible for facilitating the development of implementation plans that have the maximum potential for success while optimizing the benefit to society. The analysis utilizes a new taxonomy for organizing requirements, assesses the current gaps in spacebased measurements and missions, assesses the impact of the current and planned space-based missions, and presents a set of recommendations.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian D. Killough Jr., Stephen P. Sandford, L. DeWayne Cecil, Shelley Stover, and Kim Keith "Optimizing societal benefit using a systems engineering approach for implementation of the GEOSS space segment", Proc. SPIE 7151, GEOSS, CEOS, and the Future Global Remote Sensing Space System for Societal Benefits, 715103 (5 December 2008); https://doi.org/10.1117/12.804848
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Cited by 1 scholarly publication.
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KEYWORDS
Systems modeling

Taxonomy

Systems engineering

Wind energy

Satellites

Solar radiation models

Atmospheric modeling

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