Brown University

Fram Strait sea ice floe segmentation and tracking from moderate-resolution optical imagery

Description

Abstract:
Processed moderate resolution satellite imagery from the NASA Aqua and Terra satellites for spring and summer months between 2003-2020. Images were processed using the Matlab implementation of the Ice Floe Tracker algorithm. Truecolor and falsecolor images were sharpened, normalized, and then segmented to find potential ice floes. Ice floes were then compared pairwise to find matches in subsequent images, and the rotation and displacement of matched floes were recorded to form ice floe trajectories. An additional set of Python processing routines implements a logistic regression classifier to separate untracked sea ice floes from artifacts (e.g., clouds, landfast ice, and ice filaments) to enable study of the sea ice floe size distribution.
Notes:
This research was supported by the NASA The Science of Terra, Aqua, and Suomi-NPP Program (80NSSC22K0620); Office of Naval Research (ONR) Arctic Program (N00014-20-1-2753, N00014-22-1-2741, and N00014-22-12722); Office of Naval Research Multidisciplinary University Research Initiatives Program (N00014-23-1-2014)
Associated publications: Watkins, Buckley, Kim, and Wilhelmus, M.M. (2024) “Observing floe-scale sea ice motion in the Greenland Sea marginal ice zone during summer,” submitted to Annals of Glaciology. In revision. Preprint: https://doi.org/10.22541/essoar.170431114.48516908/v1; Watkins, Bliss, Hutchings, and Wilhelmus, M.M. (2023) “Evidence of abrupt transitions between sea ice dynamical regimes in the East Greenland marginal ice zone,” Geophysical Research Letters. Vol. 50, e2023GL103558. DOI: 10.1029/2023GL103558; Lopez-Acosta, R., Schodlok, M. P., and Wilhelmus, M. M. (2019). "Ice Floe Tracker: An algorithm to automatically retrieve Lagrangian trajectories via feature matching from moderate-resolution visual imagery", Remote Sensing of Environment, 234, 111406, pp. 1-15. DOI:10.1016/j.rse.2019.111406; Lopez-Acosta, R. (2021), "Sea Ice Drift in Arctic Marginal Ice Zones Derived from Optical Satellite Imagery" Doctoral dissertation, University of California Riverside. 162 pages.

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Use and Reproduction
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Rights
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Citation

Lopez-Acosta, Rosalinda, Watkins, Daniel M., Kim, Minki, et al., "Fram Strait sea ice floe segmentation and tracking from moderate-resolution optical imagery" (2024). Brown University Open Data Collection, Wilhelmus Lab Digital Repository. Brown Digital Repository. Brown University Library. https://doi.org/10.26300/ydtf-e778

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