Floe-scale Fragmentation of Arctic Sea Ice 2013-2014 ...
This dataset contains floe-scale fragmentation data derived from high-resolution satellite imagery from the USGS Global Fiducials Library. Individual sea ice floes were identified and tracked before and after fragmentation to study the fragmentation processes. The dataset includes floe-scale images,...
| Main Authors: | , |
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| Format: | Dataset |
| Language: | English |
| Published: |
NERC EDS UK Polar Data Centre
2025
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5285/17eeb01b-179e-4285-8619-734f390452ac https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/02046 |
| Summary: | This dataset contains floe-scale fragmentation data derived from high-resolution satellite imagery from the USGS Global Fiducials Library. Individual sea ice floes were identified and tracked before and after fragmentation to study the fragmentation processes. The dataset includes floe-scale images, segmentation masks, and floe parameters. It can be used to investigate the fragmentation of Arctic sea ice during the spring breakup and summer melt seasons. The dataset was produced by the University of Huddersfield team. NERC standard grant NE/V011693/1. ... : The floe-scale fragmentation data were derived from high-resolution satellite imagery provided by the USGS Global Fiducials Library (GFL). The original images were cropped to the individual floe scale so that each floe could be clearly identified. These GFL images were acquired by tracking drifting buoys, allowing us to identify the same floe across a sequence of images. In this way, we could observe the floe before and after the fragmentation event. Identifying the same floe was done manually by searching through the images based on floe and melt pond patterns. Once the floe-scale images were created, we used OpenCV drawing tool in CVAT AI (www.cvat.ai) to delineate the boundaries of the floes. The results were exported as segmentation masks, which were analysed by a MATLAB code to calculate floe parameters including the size, area, perimeter, shape factor and circularity of the floes. The data are organised according to the buoys that the images were tracking - IABP123530, MIZ Cluster 3, MIZ Cluster 4, and ... |
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