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\author[1]{Daniel Mark Watkins}%
\author[1]{Ellen Buckley}%
\author[1]{Minki Kim}%
\author[2]{Carlos Paniagua}%
\author[2]{Timothy Divoll}%
\author[2]{Maria I Restrepo}%
\author[1]{Monica M Wilhelmus}%
\affil[1]{Center for Fluid Mechanics, Brown University}%
\affil[2]{Center for Computation and Visualization}%


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  \date{May 20, 2024}


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\begin{abstract}
\textbf{Ice Floe Tracker is an open-source tool designed to retrieve
floe-scale sea ice motion in the Arctic marginal ice zone during spring
and summer.~ Ice Floe Tracker enables observation of the floe size
distribution, ice floe rotation rates, small-scale variation in floe
velocity, and individual floe trajectories. Sea ice motion occurs on a
wide range of scales, from the interaction of individual pieces of ice
at sub-meter scales, the formation of linear kinematic features, and ice
transport via basin-wide gyres. Most existing methods for tracking ice
motion from remote sensing imagery rely on cross-correlation and are
optimized for the winter season in the central Arctic.
Cross-correlation-derived motion vectors estimate area-averaged motion
and thus are well-suited for close-packed central Arctic ice; however,
such estimates have high uncertainties in the dynamic, strongly
deforming sea ice cover of the marginal ice zone. Our tool aims to fill
this gap by using shape detection and feature tracking to observe
floe-scale ice motion.}

\textbf{The Ice Floe Tracker algorithm consists of a series of
customizable modules. The code is structured as a modular package
written in open-source languages. It includes parallel processing, unit
testing, a command line interface, and thorough documentation (available
on Github). Routines are provided to download imagery from the NASA
Moderate Resolution Imaging Spectroradiometer. The satellite imagery is
processed to enhance the contrast between liquid water and sea ice,
sharpen floe boundaries, and remove atmospheric noise. The image is then
segmented, and geometric features of ice floes are extracted. Finally,
ice floe geometry and locations are compared to those in subsequent
images and linked to form trajectories.~ By making this tool
open-source, we aim to encourage cross-disciplinary collaboration.
Recent results from collaborations between observational oceanography
and discrete-element sea ice model development will be highlighted.~}%
\end{abstract}%



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