Articles | Volume 10, issue 2
Research article
26 Apr 2016
Research article |  | 26 Apr 2016

Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery

Stefan Muckenhuber, Anton Andreevich Korosov, and Stein Sandven

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Short summary
Presently, sea ice drift data do not provide sufficient resolution to estimate convergence and divergence fields on a spatial scaling of a few kilometres. Our goal is to exploit recent improvements and developments in computer vision by adopting a state-of-the-art feature-tracking algorithm to derive high-resolution sea ice drift. A computationally efficient algorithm has been considered, tuned and compared with other available feature-tracking algorithms.