First tests on near real time ice type classification in Antarctica

Lehner S, Krumpen T, Frost A, Ressel R, Busche TE, Schwarz E (2014)

Publication Type: Conference contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 4876-4879

Conference Proceedings Title: International Geoscience and Remote Sensing Symposium (IGARSS)

Event location: Quebec City, QC, CAN

ISBN: 9781479957750

DOI: 10.1109/IGARSS.2014.6947587

Abstract

In this paper, we explore the capabilities of an algorithm for ice type classification. Our main motivation and exemplary application was the recent incident of the research vessel Akademik Shokalskiy, which was trapped in pack ice for about two weeks. Strong winds had driven ice floes into a bay, forming an area of pack ice, blocking the ship's advancement. High-resolution satellite images helped to assess the ice conditions at the location. To extract relevant information automatically from the images, we apply an algorithm that is aimed to generate an ice chart, outlining the different ice type zones such as pack ice, fast ice, open water. The algorithm is based on texture analysis. Textures are selected that allow recognition of different structures in ice. Subsequently, a neural network performs the classification. Since results are output in near real time, the algorithm offers new opportunities for ship routing in ice infested areas.

Involved external institutions

Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center DE Germany (DE) Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) DE Germany (DE)

How to cite

APA:

Lehner, S., Krumpen, T., Frost, A., Ressel, R., Busche, T.E., & Schwarz, E. (2014). First tests on near real time ice type classification in Antarctica. In International Geoscience and Remote Sensing Symposium (IGARSS) (pp. 4876-4879). Quebec City, QC, CAN: Institute of Electrical and Electronics Engineers Inc..

MLA:

Lehner, Susanne, et al. "First tests on near real time ice type classification in Antarctica." Proceedings of the Joint 2014 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2014 and the 35th Canadian Symposium on Remote Sensing, CSRS 2014, Quebec City, QC, CAN Institute of Electrical and Electronics Engineers Inc., 2014. 4876-4879.

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