8e0a573d-61a4-4a6f-9fca-fc34cbd5fb45 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 2020-01-08 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 Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification 2020-01-08 creation 2020-01-08 revision 2020-01-08 publication 2020-01-08 released 1.0 https://doi.org/10.5285/8e0a573d-61a4-4a6f-9fca-fc34cbd5fb45 doi GB/NERC/BAS/PDC/01292 https://data.bas.ac.uk/ NE/M021025/1 award Please cite this item as: Tedstone, A., & Cook, J. (2020). Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/8e0a573d-61a4-4a6f-9fca-fc34cbd5fb45 This dataset consists of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm, as applied to Sentinel-2 overpasses of S6, K-transect, south-west Greenland on 20 and 21 July 2017. Funding was provided by the NERC standard grant NE/M021025/1. No credit. completed Tedstone, Andrew University of Bristol Researcher author Cook, Joseph University of Sheffield 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 > Ice Sheets EARTH SCIENCE > Cryosphere > Snow/Ice > Albedo EARTH SCIENCE > Land Surface > Land Use/Land Cover > Land Cover EARTH SCIENCE > Land Surface > Surface Radiative Properties > Albedo 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 UAS albedo ice remote sensing theme S6, K-Transect, south-west Greenland Ice Sheet Greenland place Elevation Meteorological geographical features Land cover 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 v.3 otherRestrictions No restrictions apply. url url crossReference url url crossReference url url crossReference doi doi crossReference url url largerWorkCitation url url crossReference doi doi crossReference textTable eng utf8 environment imageryBaseMapsEarthCover -51.01 -48.43 66.61 67.62 2017-07-20 2017-07-21 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/x-hdf application/netcdf bytes 282381517 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=8e0a573d-61a4-4a6f-9fca-fc34cbd5fb45 WWW:LINK-1.0-http--link Get Data Download data download bytes 282381517 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=8e0a573d-61a4-4a6f-9fca-fc34cbd5fb45 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Sentinel-2 imagery (European Space Agency) downloaded from Sinergise, Slovenia and converted from L1C to L2A reflectance using ESA Sen2Cor at 20 m resolution. Reflectance data ingested into a Random Forests classifier which was first trained on field data acquired in "Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Levels 2 (ground reflectance) and 3 (broadband albedo and surface type classification)" (DOI: 10.5285/77ca631f-a3a4-4f26-bc90-57bb17baa6fc), in order to generate classification maps of ice sheet surface type across the study area. A narrowband-to-broadband albedo conversion was also applied following Liang (2001, Remote Sensing of Environment). Data collection: Instrumentation: MicaSense RedEdge multispectral camera integrated onto Steadidrone Mavrik-M quadcopter. ASD FieldSpec Pro 3. Data quality: Good. Sentinel-2 acquisitions used were clear-sky over study area of interest. See Tedstone et al. (2020, TC) for details of classifier algorithm accuracy. asNeeded completed