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Observations of supraglacial lakes on Shackleton Ice Shelf, East Antarctica from 1974 to 2020

This dataset provides supraglacial lake extents as published in the paper by Arthur et al. (2020) entitled "Distribution and seasonal evolution of supraglacial lakes on Shackleton Ice Shelf, East Antarctica". Please cite this paper if using this data.





This dataset consists of (1) shapefiles of supraglacial lake extents on Shackleton Ice Shelf, in Queen Mary Land, East Antarctica (65 degS; 100 degE) derived from optical satellite imagery (Landsat-1, -4, -5, -7, -8, Sentinel 2) acquired between 1974 and 2020 and (2) rasters of supraglacial lake depths derived from optical satellite imagery (Landsat-1, -4, -5, -7, -8, Sentinel 2) acquired between 2000 and 2020. The datasets presented here were used to analyse the spatial distribution of lakes, lake densities, elevation, slope and ice surface velocity distributions, proximity to exposed bedrock, blue ice and the grounding line, and time series of lake area, depth and volume.





Funding was provided by NERC DTP grant NE/L002590/1 and NERC grant NE/R000824/1.

Simple

Date (Creation)
2020-09-08
Date (Revision)
2020-09-08
Date (Publication)
2020-09-08
Date (released)
2020-09-08
Edition

1.0

Unique resource identifier
https://doi.org/10.5285/649bbe03-8109-45be-92e5-bcef44a4703a
Codespace

doi

Unique resource identifier
GB/NERC/BAS/PDC/01376
Codespace

https://data.bas.ac.uk/

Unique resource identifier
NE/L002590/1
Codespace

award

Unique resource identifier
NE/R000824/1
Codespace

award

Other citation details

Please cite this item as: Arthur, J., Stokes, C., Jamieson, S., Carr, J., & Leeson, A. (2020). Observations of supraglacial lakes on Shackleton Ice Shelf, East Antarctica from 1974 to 2020 (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/649bbe03-8109-45be-92e5-bcef44a4703a

Credit

No credit.

Status
Completed
Point of contact
Organisation name Individual name Electronic mail address Role

Durham University

Arthur, Jennifer Author

Durham University

Stokes, Chris Author

Durham University

Jamieson, Stewart Author

Newcastle University

Carr, J Author

Lancaster University

Leeson, Amber Author
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Point of contact
Maintenance and update frequency
As needed
Maintenance note
Completed
Global Change Master Directory (GCMD) Science Keywords
  • 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 > Cryosphere > Glaciers/Ice Sheets
  • EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets
  • EARTH SCIENCE > Spectral/Engineering > Visible Wavelengths
Theme
  • Antarctica

  • glaciology

  • hydrology

  • ice sheets

  • supraglacial lakes

Place
  • Shackleton Ice Shelf Antarctica

GEMET - INSPIRE themes, version 1.0

  • Elevation
  • Hydrography
Access constraints
Other restrictions
Other constraints
no limitations to public access
Access constraints
Other restrictions
Other constraints
no limitations
Use constraints
License
Other constraints
Open Government Licence v3.0
Use constraints
Other restrictions
Other constraints

This data is supplied under Open Government Licence v3.0

Unique resource identifier
url
Codespace

url

Association Type
Cross reference
Unique resource identifier
doi
Codespace

doi

Association Type
Cross reference
Spatial representation type
Text, table
Language
English
Character set
UTF8
Topic category
  • Geoscientific information
  • Imagery base maps earth cover
  • Inland waters
N
S
E
W
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Begin date
1974-02-23
End date
2020-02-28
Supplemental Information

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.

Title

European Petroleum Survey Group (EPSG) Geodetic Parameter Registry

Date (Publication)
2008-11-12
Cited responsible party
Organisation name Individual name Electronic mail address Role

European Petroleum Survey Group

EPSGadministrator@iogp.org

Publisher
Unique resource identifier
urn:ogc:def:crs:EPSG::3031
Version

6.18.3

Distributor

Distributor contact
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

PDCServiceDesk@bas.ac.uk

Distributor
Distributor format
Name Version
application/xml
image/tiff
application/octet-stream
text/plain
Units of distribution

bytes

Transfer size
1503238554
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=649bbe03-8109-45be-92e5-bcef44a4703a

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bytes

Transfer size
1503238554
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=649bbe03-8109-45be-92e5-bcef44a4703a

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Units of distribution

bytes

Transfer size
1503238554
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=649bbe03-8109-45be-92e5-bcef44a4703a

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Units of distribution

bytes

Transfer size
1503238554
OnLine resource
Protocol Linkage Name

WWW:LINK-1.0-http--link

https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=649bbe03-8109-45be-92e5-bcef44a4703a

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Hierarchy level
Dataset
Statement

Methodology:

We used the Normalised Difference Water Index adapted for ice (NDWI; Yang and Smith 2013) to classify pixels as 'water' or 'non-water' (i.e. ice, snow, exposed bedrock or ocean) using the red and blue bands. All processing was conducted in Arcmap 10.5.





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).





A detailed description of the data collection, quality control, processing and analysis is given in: Arthur, J.F, Stokes, C.R., Jamieson, S.S.R, Carr, J.R, Leeson, A.A (2020) Distribution and seasonal evolution of supraglacial lakes on Shackleton Ice Shelf, East Antarctica. doi: 10.5194/tc-2020-101.

Data quality:

We used a minimum size threshold of two pixels, in order to remove very small SGLs likely comprised solely of mixed pixels (i.e. 200 m2 for Sentinel 2, 450 m2 for Landsat 7/8, 1800 m2 for Landsat 4/5, 7200 m2 for Landsat 1), following previous studies (Moussavi et al., 2020; Pope et al., 2016, Stokes et al., 2019).





We quantified the uncertainties in our mapping technique by quantitatively comparing SGL areas derived from NDWI with those derived from manual digitisation in four sample areas. The smaller SGLs (<0.01 km2) generated the largest percentage differences, and we found a mean absolute error of 0.007 and a root mean square error of 0.029 between manually-digitised SGL areas and those derived from NDWI. We attribute this to manual digitisation being less conservative at 'diffuse', less well-defined SGL edges. Despite these differences, we found very close agreement between the two methods (R2 = 0.979, p = 0.006). We also quantified the impact of sensor resolution on lake detection and lake extents, and found there is generally a very good agreement between lake areas derived from Landsat 8 and Sentinel 2 (Supplementary Fig. 3). We therefore assign a conservative uncertainty of 1% to our total SGL area for each time step, following Stokes et al. (2019).





We checked final lake masks against RGB composites and manually removed any false positives, including small bedrock outcrops not included in the bedrock mask and dark crevasses. To further reduce noise and improve the visual clarity of the dataset, we then applied the dissolve function in ArcMap to clean up overlapping pixels and the aggregate tool to combine pixels within a distance of two pixels.





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 (2020) Distribution and seasonal evolution of supraglacial lakes on Shackleton Ice Shelf, East Antarctica. doi: 10.5194/tc-2020-101.

Metadata

File identifier
649bbe03-8109-45be-92e5-bcef44a4703a XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2020-09-08
Metadata standard name

ISO 19115 Geographic Information - Metadata

Metadata standard version

ISO 19115:2003(E)

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS UK Polar Data Centre

polardatacentre@bas.ac.uk

Point of contact
 
 

Overviews

Spatial extent

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Keywords

Antarctica glaciology hydrology ice sheets supraglacial lakes
GEMET - INSPIRE themes, version 1.0

Elevation Hydrography
Global Change Master Directory (GCMD) Science Keywords

EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glacier Topography/Ice Sheet Topography EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets > Glaciers EARTH SCIENCE > Spectral/Engineering > Visible Wavelengths


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