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Remote Sens. 2017, 9(7), 718; doi:10.3390/rs9070718

A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones

1
The Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bussestraße 24, 27570 Bremerhaven, Germany
2
Center for Integrated Remote Sensing and Forecasting for Arctic Operations, Arctic University of Norway, Sykehusvegen 21, 9019 Tromsø, Norway
*
Author to whom correspondence should be addressed.
Received: 5 May 2017 / Revised: 6 July 2017 / Accepted: 9 July 2017 / Published: 12 July 2017
(This article belongs to the Section Ocean Remote Sensing)
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Abstract

Retrievals of sea ice drift from synthetic aperture radar (SAR) images at high spatial resolution are valuable for understanding kinematic behavior and deformation processes of the ice at different spatial scales. Ice deformation causes temporal changes in patterns observed in sequences of SAR images; which makes it difficult to retrieve ice displacement with algorithms based on correlation and feature identification techniques. Here, we propose two extensions to a pattern matching algorithm, with the objective to improve the reliability of the retrieved sea ice drift field at spatial resolutions of a few hundred meters. Firstly, we extended a reliability assessment proposed in an earlier study, which is based on analyzing texture and correlation parameters of SAR image pairs, with the aim to reject unreliable pattern matches. The second step is specifically adapted to the presence of deformation features to avoid the erasing of discontinuities in the drift field. We suggest an adapted detection scheme that identifies linear deformation features (LDFs) in the drift vector field, and detects and replaces outliers after considering the presence of such LDFs in their neighborhood. We validate the improvement of our pattern matching algorithm by comparing the automatically retrieved drift to manually derived reference data for three SAR scenes acquired over different sea ice covered regions. View Full-Text
Keywords: sea ice drift; sea ice deformation; pattern matching; reliability assessment; outlier detection; SAR images sea ice drift; sea ice deformation; pattern matching; reliability assessment; outlier detection; SAR images
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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

Griebel, J.; Dierking, W. A Method to Improve High-Resolution Sea Ice Drift Retrievals in the Presence of Deformation Zones. Remote Sens. 2017, 9, 718.

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