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Remote Sens. 2015, 7(8), 10385-10399; doi:10.3390/rs70810385

A High Performance Remote Sensing Product Generation System Based on a Service Oriented Architecture for the Next Generation of Geostationary Operational Environmental Satellites

1
NOAA, GOES-R Program Office, Code 417, NASA GSFC, Greenbelt, MD 20771, USA
2
Harris Corporation, Melbourne, FL 32904, USA
3
Atmospheric and Environmental Research, Lexington, MA 02421, USA
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Lizhe Wang and Prasad S. Thenkabail
Received: 9 June 2015 / Revised: 5 August 2015 / Accepted: 7 August 2015 / Published: 13 August 2015
View Full-Text   |   Download PDF [1543 KB, uploaded 13 August 2015]   |  

Abstract

The Geostationary Operational Environmental Satellite (GOES) series R, S, T, U (GOES-R) will collect remote sensing data at several orders of magnitude compared to legacy missions, 24 × 7, over its 20-year operational lifecycle. A suite of 34 Earth and space weather products must be produced at low latency for timely delivery to forecasters. A ground system (GS) has been developed to meet these challenging requirements, using High Performance Computing (HPC) within a Service Oriented Architecture (SOA). This approach provides a robust, flexible architecture to support the operational GS as it generates remote sensing products by ingesting and combining data from multiple sources. Test results show that the system meets the key latency and availability requirements for all products. View Full-Text
Keywords: GOES-R; Product Generation; High Performance Computing (HPC); Service Oriented Architecture (SOA) GOES-R; Product Generation; High Performance Computing (HPC); Service Oriented Architecture (SOA)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Kalluri, S.; Gundy, J.; Haman, B.; Paullin, A.; Van Rompay, P.; Vititoe, D.; Weiner, A. A High Performance Remote Sensing Product Generation System Based on a Service Oriented Architecture for the Next Generation of Geostationary Operational Environmental Satellites. Remote Sens. 2015, 7, 10385-10399.

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