a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a 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 2021-12-10 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 Large interannual variability in supraglacial lakes around East Antarctica (2014-2020) 2021-12-10 creation 2021-12-10 revision 2021-12-10 publication 2021-12-10 released 1.0 https://doi.org/10.5285/a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a doi GB/NERC/BAS/PDC/01589 https://data.bas.ac.uk/ NE/L002590/1 award NE/R000824/1 award Please cite this item as: Arthur, J., Stokes, C., Jamieson, S., Carr, R., Leeson, A., & Verjans, V. (2021). Large interannual variability in supraglacial lakes around East Antarctica (2014-2020) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a This dataset provides supraglacial lake extents and depths as included in the paper by Arthur et al. (in review, Nature Comms.) entitled " Large interannual variability in supraglacial lakes around East Antarctica". Please cite this paper if using this data. This dataset consists of (1) shapefiles of supraglacial lake extents around the East Antarctic Ice Sheet derived from Landsat-8 imagery acquired between January 2014 and 2020 and (2) rasters of supraglacial lake depths derived from Landast-8 imagery acquired over the same period. The datasets presented here were used to analyse the spatial distribution and interannual variability in lake distributions and volume. Funding was provided by NERC DTP grant NE/L002590/1 and NERC grant NE/R000824/1. No credit. completed Arthur, Jennifer Durham University Researcher author Stokes, Chris Durham University Researcher author Jamieson, Stewart Durham University Researcher author Carr, Rachel Newcastle University Researcher author Leeson, Amber Lancaster University Researcher author Verjans, Vincent Georgia Institute of Technology 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 Topography/Ice Sheet Topography EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glaciers 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 Antarctica glaciology hydrology ice sheets supraglacial lakes theme East Antarctic Ice Sheet Antarctica 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 This data is supplied under Open Government Licence v3.0 otherRestrictions None url url crossReference textTable eng utf8 geoscientificInformation imageryBaseMapsEarthCover inlandWaters 95.6 102.4 -66.8 -65.7 2014-01-01 2020-01-31 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 application/zip image/tiff application/vnd.shp text/csv bytes 342523641856 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a WWW:LINK-1.0-http--link Get Data Download data download bytes 342523641856 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a WWW:LINK-1.0-http--link Get Data Download data download bytes 342523641856 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a WWW:LINK-1.0-http--link Get Data Download data download bytes 342523641856 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: We applied a previously-published threshold-based pixel classification method (Moussavi et al., 2020) which combines separate threshold-based algorithms to detect (1) surface meltwater, (2) clouds, (3) exposed rock outcrop and (4) seawater. Liquid water-covered pixels are classified using the Normalized Difference Water Index (Yang and Smith, 2013). Threshold values were determined by creating a training dataset based on selected Landsat 8 images. Using these thresholds, binary (i.e. meltwater and non-meltwater) masks are created for each Landsat 8 scene. The full details are discussed comprehensively in Arthur et al. (submitted) and Moussavi et al. (2020). We applied a physically-based radiative transfer model to calculate the water depth of all pixels classified as lake (Pope et al., 2016; Sneed and Hamilton 2007). This method calculates lake water depth (z) using the rate of light attenuation in water, lake bottom albedo, and optically-deep water reflectance (Philpot, 1989). For January of each year (2014 to 2020), we created a maximum lake depth mask by assigning all water pixels in the maximum lake area mask a depth equal to the maximum water depth observed out of all images during January following Banwell et al. (2021). A detailed description of the data collection, quality control, processing and analysis, as well as full references, is given in: Arthur, J.F, Stokes, C.R., Jamieson, S.S.R, Carr, J.R, Leeson, A.A, Verjans, V. (submitted) Large interannual variability in supraglacial lakes around East Antarctica. Data quality: We used a minimum size threshold of five pixels in order to remove very small SGLs or slush likely comprised solely of mixed pixels, following previous studies (Arthur et al., 2021; Moussavi et al., 2020; Pope et al., 2016, Stokes et al., 2019). We manually verified our classification results against 2175 Landsat 8 images and removed any false positives (cloud, shadow or rock mis-identified as SGLs that bypassed initial cloud, rock and seawater masking procedures due to spectral similarities). These false positives were often distinguishable by their 'diffuse' boundaries, as opposed to distinct lake objects. Moussavi et al. (2020) recorded an accuracy of >94% when validating SGLs classified using our method against manually-digitized SGLs. A detailed description of the data collection, quality control, processing and analysis, as well as full references, is given in: Arthur, J.F, Stokes, C.R., Jamieson, S.S.R, Carr, J.R, Leeson, A.A, Verjans, V. (in review) Large interannual variability in supraglacial lakes around East Antarctica. asNeeded completed