8f94782a-87a1-4e54-a911-89aee1f15aea 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 2020-05-29 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 Kongsvegen, Svalbard: late quiescent-stage glacier geometry and dynamics 2020-05-29 creation 2020-05-29 revision 2020-05-29 publication 2020-05-29 released 1.0 https://doi.org/10.5285/8f94782a-87a1-4e54-a911-89aee1f15aea doi GB/NERC/BAS/PDC/01334 https://data.bas.ac.uk/ NE/R018243/1 award Please cite this item as: Luckman, A., Kohler, J., & Benn, D. (2020). Kongsvegen, Svalbard: late quiescent-stage glacier geometry and dynamics (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/8f94782a-87a1-4e54-a911-89aee1f15aea This dataset consists of a bed DEM and four velocity maps of Kongsvegen, a surge-type glacier in Svalbard. The bed DEM was generated from ground-penetrating radar surveys in spring 2016 and 2018, and the velocity maps span the period Dec 2017 to Feb 2019. The velocity maps show the initial speed-up of the glacier as it transitions from quiescence to surge. Data acquisition was funded by NERC Urgency Grant NE/R018243/1 REBUS (Resolving Enthalpy Budget to Understand Surges). No credit. completed Luckman, Adrian Swansea University Researcher author Kohler, Jack Norwegian Polar Institute Researcher author Benn, Douglas University of St Andrews 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 > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Motion/Ice Sheet Motion EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Cryosphere > Snow/Ice > Ice Velocity 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 Kongsvegen Svalbard glacier surge theme Kongsvegen (glacier), Svalbard Arctic place Elevation Meteorological 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 This data is governed by the NERC Data Policy: https://www.ukri.org/who-we-are/nerc/our-policies-and-standards/nerc-data-policy/ otherRestrictions This data is governed by the NERC data policy and supplied under Open Government Licence v3 otherRestrictions No restrictions apply. url url dependency doi doi crossReference url url crossReference textTable eng utf8 elevation environment geoscientificInformation 12.39992 13.58087 78.70699 78.88033 2016-01-01 2019-02-28 99.0 1255.0 urn:ogc:def:crs:EPSG::5714 MSL height Not specific to any location or epoch. Hydrography. 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 bytes 66479718 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=8f94782a-87a1-4e54-a911-89aee1f15aea WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: The data used for generating the bed DEM comprise ice thickness measured with 5-MHz radar and surface elevations derived from concurrent differential GNSS measurements. The DEM was generated in Matlab using the interpolation scheme "gridfit" (D'Errico, 2010). The velocity maps were generated by feature-tracking pairs of Synthetic Aperture Radar (SAR) images acquired by the TerraSAR-X satellite operated by the German Space Agency DLR. Pairs of 'Stripmap Mode' images separated by 11 days (the satellite orbital cycle) from December 2017, March and April 2019, and February/March 2019 were acquired especially for the project. Velocity map dates are embedded within the filenames. Feature tracking was applied using the methods described in Luckman et al. (2015), which also explains the uncertainties in the measurements. Data collection: 5-MHz radar: National Instruments PXI controller and digital oscilloscope, Kentech pulse transmitter, 5 Mhz resistively loaded dipole antennas. Data quality: The ice thickness and bed elevation data are accurate to +/- 10 m. Uncertainties in ice surface velocity are estimated to be 0.4m per day, and comprise co-registration error (±0.2 pixels) and error arising from smoothing of the velocity field over the feature-tracking window size (400x400 m). asNeeded completed