Date (Creation)

2021-12-10

Date (Revision)

2021-12-10

Date (Publication)

2021-12-10

Date (released)

2021-12-10

Edition

1.0

Unique resource identifier

https://doi.org/10.5285/a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a

Codespace

doi

Unique resource identifier

GB/NERC/BAS/PDC/01589

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, 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

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, Rachel		Author
Lancaster University	Leeson, Amber		Author
Georgia Institute of Technology	Verjans, Vincent		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 > Spectral/Engineering > Visible Wavelengths > Visible Imagery
• EARTH SCIENCE > Cryosphere > Glaciers/Ice Sheets
• EARTH SCIENCE > Hydrosphere > Glaciers/Ice Sheets

Theme

• Antarctica

• glaciology

• hydrology

• ice sheets

• supraglacial lakes

Place

• East Antarctic Ice Sheet 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

Use constraints

Other restrictions

Other constraints

None

Unique resource identifier

url

Codespace

url

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

Begin date

2014-01-01

End date

2020-01-31

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

Hierarchy level

Dataset

Statement

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.

Metadata

File identifier

a9f2e4b5-9c2e-4ea5-8c0c-db5f6585128a XML

Metadata language

English

Character set

UTF8

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2021-12-10

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