Paper
5 May 2017 Big data for space situation awareness
Erik Blasch, Mark Pugh, Carolyn Sheaff, Joe Raquepas, Peter Rocci
Author Affiliations +
Abstract
Recent advances in big data (BD) have focused research on the volume, velocity, veracity, and variety of data. These developments enable new opportunities in information management, visualization, machine learning, and information fusion that have potential implications for space situational awareness (SSA). In this paper, we explore some of these BD trends as applicable for SSA towards enhancing the space operating picture. The BD developments could increase in measures of performance and measures of effectiveness for future management of the space environment. The global SSA influences include resident space object (RSO) tracking and characterization, cyber protection, remote sensing, and information management. The local satellite awareness can benefit from space weather, health monitoring, and spectrum management for situation space understanding. One area in big data of importance to SSA is value - getting the correct data/information at the right time, which corresponds to SSA visualization for the operator. A SSA big data example is presented supporting disaster relief for space situation awareness, assessment, and understanding.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erik Blasch, Mark Pugh, Carolyn Sheaff, Joe Raquepas, and Peter Rocci "Big data for space situation awareness", Proc. SPIE 10196, Sensors and Systems for Space Applications X, 1019607 (5 May 2017); https://doi.org/10.1117/12.2264684
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Satellites

Remote sensing

Visualization

Meteorological satellites

Earth observing sensors

Satellite communications

Space operations

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