7dc6e19d-79fa-41f1-99a7-da408592382f 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 2022-07-07 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 Multi-satellite floe size distribution of Arctic sea ice 2000-2020 2022-07-07 creation 2022-07-07 revision 2022-07-07 publication 2022-07-07 released 1.0 https://doi.org/10.5285/7dc6e19d-79fa-41f1-99a7-da408592382f doi GB/NERC/BAS/PDC/01650 https://data.bas.ac.uk/ NE/S002545/1 award Please cite this item as: Hwang, B., Wang, Y., & MOSAiC Remote Sensing Team. (2022). Multi-satellite floe size distribution of Arctic sea ice 2000-2020 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/7dc6e19d-79fa-41f1-99a7-da408592382f This dataset contains the floe size distribution (FSD) data derived from multi-satellite imagery data acquired across the Arctic Ocean. Satellite imagery data includes high-resolution visible images from the USGS Global Fiducials Library (MEDEA), TerraSAR-X/TanDEM-X and Worldview-3 (WV3). The derived data contain floe size (calliper diameter), shape factor, minor/major axis, perimeter and area of the floes. This data set has been used to investigate the characteristics of the FSD during major seasonal evaluation stages of Arctic sea ice floes. The retrieval of the FSD data was done by the University of Huddersfield team. This work was funded by NERC MOSAiC program NE/S002545/1. No credit. completed Hwang, Byongjun University of Huddersfield Researcher author Wang, Yanan University of Huddersfield Researcher author MOSAiC remote sensing team 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 MOSAiC floe size distribution lateral melt melt fragmentation sea ice wave fracture theme 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 largerWorkCitation url url largerWorkCitation url url crossReference doi doi crossReference doi doi crossReference url url crossReference url url crossReference url url crossReference textTable eng utf8 geoscientificInformation oceans -170.0 8.93 61.98 85.0 2000-01-01 2020-12-31 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/tiff image/png text/plain text/csv bytes 1610612736 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=7dc6e19d-79fa-41f1-99a7-da408592382f WWW:LINK-1.0-http--link Get Data Download data download bytes 1610612736 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=7dc6e19d-79fa-41f1-99a7-da408592382f WWW:LINK-1.0-http--link Get Data Download data download bytes 1610612736 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=7dc6e19d-79fa-41f1-99a7-da408592382f WWW:LINK-1.0-http--link Get Data Download data download bytes 1610612736 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=7dc6e19d-79fa-41f1-99a7-da408592382f WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The FSD data were derived from multi-satellite imagery data, including MEDEA, TerraSAR-X/TanDEM-X and WorldView-3. For MEDEA images, the selected images were cropped to remove the areas with clouds and missing data. The cropped images were then used to derive the FSD. For TerraSAR-X/TanDEM-X images, the raw data (Level 1B products) were acquired from DLR (under TSX SSS project hwang_OCE3757). The images were applied to ellipsoid correction (range doppler) and speckle filter (median) and converted to GeoTIFF files. Those GeoTIFF files were used to derive the FSD. For WorldView-3, panchromatic images were used to derive the FSD. The floe size distribution was derived from those images using the algorithm described in Hwang et al. (2017). Data collection: Characteristics of satellite imagery data used to derive the FSD data are described below. MEDEA: 1-m resolution visible (panchromatic) satellite imagery from the USGS Global Fiducials Library (GFL) (https://gfl.usgs.gov), declassified by the MEDEA group. TerraSAR-X or TanDEM-X: X-band satellites operated by the German Aerospace Centre (DLR, www.dlr.de). For the FSD retrieval, three image mode data - Spotlight (SL), StripMap (SM) and ScanSAR (SC) were used (for the details of the image modes, see https://earth.esa.int/eogateway/catalog/terrasar-x-esa-archive). WorldView-3: A commercial satellite by Digital Globe (https://www.digitalglobe.com). The FSD data was derived from a panchromatic image of WorldView-3 (WV3). Data quality: The data quality was checked by manual inspection for each imagery data. It should be noted that some of the small floes can be erroneous due to noises or internal variations within the images. However, no minimum threshold for the smallest detectable floes was set for this dataset (i.e., the smallest floe equals one image pixel). This is to provide flexibility for the users to select the minimum threshold for the smallest detectable floes. For instance, in our observational study, the minimum threshold was set to be 5 m for MEDEA/WV images (i.e., the floes small than 5 m in diameter were discarded from the analysis) and 15 m for TerraSAR-X images (i.e., the floes small than 15 m in diameter were discarded from the analysis). asNeeded completed