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 conferencePaperpeer-review

6 Scopus citations

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 languageEnglish (US)
Pages1573-1575
Number of pages3
StatePublished - 1999
Externally publishedYes
EventProceedings 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 1999Jul 2 1999

Other

OtherProceedings of the 1999 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'99) 'Remote Sensing of the Systems Earth - A Challenge for the 21st Century'
CityHamburg, Ger
Period6/28/997/2/99

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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