Transition from research to operations: ARKTOS - a knowledge-based sea ice classification system

Cheryl Bertoia; Denise Gineris; Kim Partington; Leen Kiat Soh; Costas Tsatsoulis

Transition from research to operations: ARKTOS - a knowledge-based sea ice classification system

Cheryl Bertoia, Denise Gineris, Kim Partington, Leen Kiat Soh, Costas Tsatsoulis

Research output: Contribution to conference › Paper › peer-review

Abstract

ARKTOS is a fully automated intelligent system that classifies sea ice and that is now being used by the U.S. National Ice Center (NIC) for daily operations related to the NIC's task of mapping the ice covered oceans. In this paper we describe the process of taking a research project and transitioning it to an operational environment. We discuss the theoretical methodologies implemented in ARKTOS, and how ARKTOS was developed, tested, and finally moved to operations.

Original language	English (US)
Pages	1573-1575
Number of pages	3
State	Published - 1999
Externally published	Yes
Event	Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century' - Hamburg, Ger Duration: Jun 28 1999 → Jul 2 1999

Other

Other	Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
City	Hamburg, Ger
Period	6/28/99 → 7/2/99

ASJC Scopus subject areas

Computer Science Applications
Earth and Planetary Sciences(all)

Cite this

Bertoia, C., Gineris, D., Partington, K., Soh, L. K., & Tsatsoulis, C. (1999). Transition from research to operations: ARKTOS - a knowledge-based sea ice classification system. 1573-1575. Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger.

Transition from research to operations : ARKTOS - a knowledge-based sea ice classification system. / Bertoia, Cheryl; Gineris, Denise; Partington, Kim et al.

1999. 1573-1575 Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger.

Research output: Contribution to conference › Paper › peer-review

Bertoia, C, Gineris, D, Partington, K, Soh, LK & Tsatsoulis, C 1999, 'Transition from research to operations: ARKTOS - a knowledge-based sea ice classification system', Paper presented at Proceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century', Hamburg, Ger, 6/28/99 - 7/2/99 pp. 1573-1575.

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year = "1999",

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AU - Soh, Leen Kiat

AU - Tsatsoulis, Costas

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AB - ARKTOS is a fully automated intelligent system that classifies sea ice and that is now being used by the U.S. National Ice Center (NIC) for daily operations related to the NIC's task of mapping the ice covered oceans. In this paper we describe the process of taking a research project and transitioning it to an operational environment. We discuss the theoretical methodologies implemented in ARKTOS, and how ARKTOS was developed, tested, and finally moved to operations.

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Transition from research to operations: ARKTOS - a knowledge-based sea ice classification system

Abstract

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ASJC Scopus subject areas

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