d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 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 2022-01-27 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 Glacier boundaries (1975-2020) and elevation change (2000-2020) of the Peruvian Cordilleras Vilcanota, Vilcabamba, and Urubamba 2022-01-27 creation 2022-01-27 revision 2022-01-27 publication 2022-01-27 released 1.0 https://doi.org/10.5285/d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 doi GB/NERC/BAS/PDC/01603 https://data.bas.ac.uk/ NE/L002574/1 award NE/S013318/1 award Please cite this item as: Taylor, L., Quincey, D., Smith, M., Potter, E., Castro, J., & Fyffe, C. (2022). Glacier boundaries (1975-2020) and elevation change (2000-2020) of the Peruvian Cordilleras Vilcanota, Vilcabamba, and Urubamba (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 This dataset contains glacier boundaries from 1975 to 2020 and elevation change data from 2000 to 2020 over the Cordilleras Vilcanota, Vilcabamba, and Urubamba, Peru. Glacier boundary data were analysed in Google Earth Engine from the Landsat archive and quantifies rate of change in ice extent over recent decades. Elevation change data were analysed in Google Earth Engine from the ASTER archive and quantifies change in ice thickness over decadal intervals from 2000 to 2020. Data are available as shapefiles (.shp) and GeoTIFFs (.tif). Summary data are available as CSVs (.csv). This work was funded by NERC SPHERES Doctoral Training Partnership (NE/L002574/1) and NERC Newton Fund (PEGASUS) (NE/S013318/1). No credit. completed Taylor, Liam University of Leeds Researcher author Quincey, Duncan University of Leeds Researcher author Smith, Mark University of Leeds Researcher author Potter, Emily University of Leeds Researcher author Castro, Joshua Universidad Nacional de San Antonio Abad del Cusco Researcher author Fyffe, Catriona Northumbria University 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 Mass Balance/Ice Sheet Mass Balance EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Thickness/Ice Sheet Thickness EARTH SCIENCE > Cryosphere > Snow/Ice > Ice Extent 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 ASTER Landsat Peru mass balance tropical glaciers theme Cordilleras Vilcanota, Vilcabamba, and Urubamba, Cusco Region Peru 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 Data supplied under Open Government Licence v3.0 otherRestrictions No restrictions apply. url url crossReference url url largerWorkCitation doi doi crossReference url url crossReference textTable eng utf8 elevation geoscientificInformation imageryBaseMapsEarthCover -73.36 -69.47 -14.245 -12.91 1975-01-01 2020-12-31 212.0 6333.0 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 application/octet-stream application/vnd.shp text/plain text/csv bytes 3113851290 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 WWW:LINK-1.0-http--link Get Data Download data download bytes 3113851290 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 WWW:LINK-1.0-http--link Get Data Download data download bytes 3113851290 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 WWW:LINK-1.0-http--link Get Data Download data download bytes 3113851290 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 WWW:LINK-1.0-http--link Get Data Download data download bytes 3113851290 https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=d4dedc2d-1f7f-45c8-8b04-41b8b099cef9 WWW:LINK-1.0-http--link Get Data Download data download dataset Methodology: Glacier Boundaries Landsat-2 scenes were used to manually delineate glacier outlines for the 1970s. All other glacier outlines were produced from full-archive Landsat-5 (1984 - 2012) and Landsat-8 (2013 - 2020) imagery using a Normalised Difference Snow / Water Index (NDSI, NDWI) in Google Earth Engine. A cloud-free composite was produced for each year by extracting the median pixel value from the driest months (August to December) to minimise snow and cloud cover. Due to heavy cloud in these regions, there are some years within the time series with no usable imagery. Elevation Change All L1A ASTER tiles collected over these regions in the 20-year timespan from 1st January 2000 to 31st December 2020 were used to derive DEMs and co-registered to off-ice areas using the method of Nuth and Kääb (2011). DEMs were clipped to the range of elevation of the cordilleras, ± 100m of the median to remove erroneous values. A single value per pixel per year was extracted from all DEM tiles by collecting the median value. Using these single values per year, a linear fit through the surface elevation was then calculated over three time periods: 2000 - 2010; 2010 - 2020; and 2000 - 2020 to represent elevation change per year during these intervals. Data collection: ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) L1A (AST_L1A) Landsat-2 MSS L1TP Landsat-5 TM Collection 1 Tier 1 TOA Reflectance (Google Earth Engine) Landsat-8 Level 2 Collection 2 Tier 1 (Google Earth Engine) Data quality: All 1984 - 2020 glacier boundaries have an accuracy of 5%, with the 1975 Landsat-2 scenes at 11% owing to larger pixel sizes in the original dataset Volume change error is calculated as a median of off-ice areas within a 2 km buffer of glaciers and this error carried forward to calculate mass (following Brun et al. 2017) and mass balance. asNeeded completed