17eeb01b-179e-4285-8619-734f390452ac eng utf8 dataset dataset NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom polardatacentre@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact 2025-04-15 ISO 19115 Geographic Information - Metadata ISO 19115:2003(E) European Petroleum Survey Group (EPSG) Geodetic Parameter Registry 2008-11-12 publication European Petroleum Survey Group EPSGadministrator@iogp.org https://www.epsg-registry.org/ EPSG Geodetic Parameter Dataset The EPSG Geodetic Parameter Dataset is a structured dataset of Coordinate Reference Systems and Coordinate Transformations, accessible through this online registry. information publisher urn:ogc:def:crs:EPSG::3031 6.18.3 Floe-scale Fragmentation of Arctic Sea Ice 2013-2014 2025-04-15 creation 2025-04-15 revision 2025-04-15 publication 2025-04-15 released 1.0 https://doi.org/10.5285/17eeb01b-179e-4285-8619-734f390452ac doi GB/NERC/BAS/PDC/02046 https://data.bas.ac.uk/ NE/V011693/1 award Please cite this item as: Hwang, B., & Basu, R. (2025). Floe-scale Fragmentation of Arctic Sea Ice 2013-2014 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/17eeb01b-179e-4285-8619-734f390452ac 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. No credit. completed Hwang, Byongjun University of Huddersfield Researcher author Basu, Rajlaxmi University of Huddersfield Researcher author NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information pointOfContact asNeeded completed EARTH SCIENCE > Cryosphere > Sea Ice > Ice Extent EARTH SCIENCE > Cryosphere > Sea Ice > Ice Floes EARTH SCIENCE > Oceans > Sea Ice > Ice Extent EARTH SCIENCE > Oceans > Sea Ice > Ice Floes theme Global Change Master Directory (GCMD) Science Keywords 2026-01-27 publication 23 Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA) Greenbelt MD United States of America https://earthdata.nasa.gov/about/gcmd/global-change-master-directory-gcmd-keywords Global Change Master Directory (GCMD) Keywords The information provided on this page seeks to define how the GCMD Keywords are structured, used and accessed. It also provides information on how users can participate in the further development of the keywords. information publisher Arctic cracks floe-scale fragmentation leads melt melt ponds sea ice spring breakup theme Beaufort Sea, Arctic Ocean Arctic place Oceanographic geographical features theme GEMET - INSPIRE themes, version 1.0 2021-01-06 revision otherRestrictions no limitations to public access otherRestrictions no limitations license Open Government Licence v3.0 otherRestrictions Data supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. url url crossReference url url crossReference url url crossReference url url crossReference url url crossReference url url crossReference url url dependency url url dependency url url largerWorkCitation textTable eng utf8 imageryBaseMapsEarthCover inlandWaters oceans -153.4876 -136.3707 73.88772 75.0952 2013-06-01 2014-08-14 It is recommended that careful attention be paid to the contents of any data, and that the author be contacted with any questions regarding appropriate use. If you find any errors or omissions, please report them to polardatacentre@bas.ac.uk. NERC EDS UK Polar Data Centre +44 (0)1223 221400 British Antarctic Survey, High Cross, Madingley Road Cambridge Cambridgeshire CB3 0ET United Kingdom PDCServiceDesk@bas.ac.uk https://www.bas.ac.uk/team/business-teams/information-services/uk-polar-data-centre/ information distributor image/png image/tiff text/plain text/csv bytes 84724941 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=17eeb01b-179e-4285-8619-734f390452ac WWW:LINK-1.0-http--link Get Data Download data download bytes 84724941 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=17eeb01b-179e-4285-8619-734f390452ac WWW:LINK-1.0-http--link Get Data Download data download bytes 84724941 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=17eeb01b-179e-4285-8619-734f390452ac WWW:LINK-1.0-http--link Get Data Download data download bytes 84724941 http://ramadda.data.bas.ac.uk/repository/entry/show?entryid=17eeb01b-179e-4285-8619-734f390452ac WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: 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 MIZ Cluster 2. IABP123530 is the buoy ID used in the USGS GFL data portal. This corresponds to IABP Buoy ID 300025010123530 on the IABP website. This buoy is co-located with CRREL IMB ID 2012L. MIZ Cluster 3 is the second northernmost cluster of drifting buoys deployed during the ONR MIZ program. The co-located buoys are WHOI ITP (ID: ITP78), AWS 3, and IMB 4 (see ONR MIZ website). MIZ Cluster 4 is the northernmost cluster of drifting buoys deployed during the ONR MIZ program. The co-located buoys are WHOI ITP (ID: ITP79), AWS 4, and IMB 9 (see ONR MIZ website). MIZ Cluster 2 is the second southernmost cluster of drifting buoys deployed during the ONR MIZ program. The co-located buoys are WHOI ITP (ID: ITP77), AWS 2, and IMB 17 (see ONR MIZ website). The spatial coverage of the dataset covers the Beaufort Sea. Latitude and longitude coordinates for each floe are provided in CSV files in the floe_parameter folder. Data collection: Characteristics of satellite imagery data used to derive the FSD data are described below. USGS GGFL: 1-m resolution visible (panchromatic) satellite imagery from the USGS Global Fiducials Library (GFL) (www.glf.usgs.gov), declassified by the MEDEA group. Data quality: The data quality was checked by manually inspecting each image. It should be noted that some of the fragments in the post-fragmentation images could not be identified. Some were too small, while others were difficult to distinguish based on floe and melt pond patterns. The delineation of the floe boundaries was performed using the OpenCV tool (CVAT AI). The delineation was relatively accurate for large floes, but the accuracy decreased for smaller floes. asNeeded completed