c36c7744-9cf5-4c20-a7a3-a9222cad9f22 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 2021-05-14 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 RESPONDER: Observations of crevasses, crevasse ponding, and surface stress across west Greenland, 2017 - 2019 2021-05-14 creation 2021-05-14 revision 2021-05-14 publication 2021-05-14 released 1.0 https://doi.org/10.5285/c36c7744-9cf5-4c20-a7a3-a9222cad9f22 doi GB/NERC/BAS/PDC/01500 https://data.bas.ac.uk/ NE/L002507/1 award Please cite this item as: Chudley, T., & Christoffersen, P. (2021). RESPONDER: Observations of crevasses, crevasse ponding, and surface stress across west Greenland, 2017 - 2019 (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/c36c7744-9cf5-4c20-a7a3-a9222cad9f22 Datasets from the Resolving subglacial properties, hydrological networks and dynamic evolution of ice flow on the Greenland Ice Sheet (RESPONDER) project as published in the paper by Chudley et al. entitled "Controls on water storage and drainage in crevasses on the Greenland Ice Sheet". This dataset consists of remotely sensed observations of water-filled crevasses across a marine-terminating sector of the west Greenland Ice Sheet between 2017 and 2019.The dataset presented here includes all data necessary to replicate the findings presented in the main paper, including UAV photogrammetry-derived raster data (producing a series of orthophotos and digital elevation models) and observations from satellite-derived data (Sentinel-2, ArcticDEM, and MEaSUREs Greenland velocity data) of crevasse presence, water presence, and estimates of surface stress. This research was funded by the European Research Council as part of the RESPONDER project under the European Union's Horizon 2020 research and innovation program (Grant 683043). Tom Chudley was supported by a Natural Environment Research Council Doctoral Training Partnership Studentship (Grant NE/L002507/1). No credit. completed Chudley, Thomas Scott Polar Research Institute, University of Cambridge Researcher author Christoffersen, Poul Scott Polar Research Institute, University of Cambridge 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 Topography/Ice Sheet Topography EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Elevation/Ice Sheet Elevation EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Spectral/Engineering > Visible Wavelengths > Visible Imagery EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets 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 Greenland crevasses glacier hydrology ice sheet remote sensing theme West Greenland Ice Sheet Greenland place Elevation Hydrography 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 doi doi crossReference doi doi crossReference textTable eng utf8 geoscientificInformation imageryBaseMapsEarthCover inlandWaters -51.277 -49.458 70.269 71.16 2017-05-01 2019-09-30 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 text/plain image/tiff bytes 10522669875 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=c36c7744-9cf5-4c20-a7a3-a9222cad9f22 WWW:LINK-1.0-http--link Get Data Download data download bytes 10522669875 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=c36c7744-9cf5-4c20-a7a3-a9222cad9f22 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Water-filled pixels were identified at a seasonal timescale using 10 m resolution Sentinel-2 data, using an NDWI threshold to classify all pixels where water was observed, using an NDWI threshold, to occur more than twice between May-October. Crevasse-filled pixels were identified from the 3 m resolution ArcticDEM, classified where residuals between 50 m smoothed and raw elevation values were greater than 1 m. UAV data were collected and processed following Chudley et al. (Cryosphere, 13, 955-968, 2019), and classified using a random forest classifier. Data collection: UAV: Custom-built Skywalker X8 fixed-wing UAV running ArduPlane autopilot software, collecting imagery with a Sony α6000 and GPS data with an Emlid Reach receiver. Images processed in Agisoft Metashape v 1.4.3. Data quality: We assign UAV-derived orthophoto and DEM data uncertainties of ±0.12 m horizontally (~1.1x the ground sampling distance) and ±0.14 m vertically (~1.3x the ground sampling distance), following Chudley et al. (Cryosphere, 13, 955-968, 2019). asNeeded completed