Operational Evaluation of a Knowledge-Based Sea Ice Classification System

Authors

Denise Gineris, Stennis Space CenterFollow
Cheryl Bertoia, U.S. National Ice CenterFollow
Mary Ruth Keller, U.S. National Ice CenterFollow
Leen-Kiat Soh, University of Nebraska-LincolnFollow
Costas Tsatsoulis, University of KansasFollow

Date of this Version

5-2000

Comments

World Meteorological Organization- Canadian Ice Working Group Mapping and Archiving of Sea Ice Data, Ottawa, May 2-4, 2000

Abstract

ARKTOS (Advanced Reasoning Using Knowledge for Typing of Sea Ice) is a fully automated intelligent sea ice classification system. ARKTOS is in use at the U.S. National Ice Center (NIC) for daily operations related to the NIC’S task of mapping the ice covered oceans. ARKTOS incorporates image processing, input from ancillary data, and artificial intelligence (AI) to analyze and classify RADARSAT Synthetic Aperture Radar (SAR) imagery. The NIC and Naval Research Laboratory (NRL/ERIM) have been testing and evaluating ARKTOS through the freeze-up, winter, melt-out and summer seasons of the Beaufort Sea. In this paper we outline the development and evolution of ARKTOS, evaluate current output, and discuss future implementation.