West Antarctic Peninsula grounding line location datasets supporting "Seasonal land-ice-flow variability in the Antarctic Peninsula"
Christie, Frazer DW
Willis, Ian C
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Boxall, K., Christie, F. D., Willis, I. C., Wuite, J., & Nagler, T. (2022). West Antarctic Peninsula grounding line location datasets supporting "Seasonal land-ice-flow variability in the Antarctic Peninsula" [Dataset]. https://doi.org/10.17863/CAM.82248
This dataset contains the location of the grounding line along George VI Ice Shelf (West Antarctic Peninsula), Wilkins Ice Shelf and Bach Ice Shelf (Alexander Island), as determined from a compilation of datasets, including double-differential interferometric synthetic aperture radar (DInSAR) from Sentinel-1 imagery acquired May-October 2020, Sentinel-1 grounding-line information from 2018 (Mohajerani et al., 2021) and the MEaSUREs 1994-1996 grounding line dataset (Rignot et al., 2016). The dataset is provided in ESRI Shapefile (.shp) format.
Data are presented in EPSG:3031 Antarctic Polar Stereographic projection. Units are in meters. (Refer to: https://epsg.io/3031 for further information). Data can be read by most geographical information systems (e.g. QGIS, ESRI ArcGIS, GMT, etc.)
Antarctic Peninsula, Antarctica, George VI Ice Shelf, Glaciology, Grounding Line, Ice Sheet, Remote Sensing, Sentinel-1
Publication Reference: https://doi.org/10.5194/tc-16-3907-2022https://www.repository.cam.ac.uk/handle/1810/341556
This research was undertaken while KB was in receipt of a United Kingdom Natural Environment Research Council PhD studentship awarded through the University of Cambridge C-CLEAR Doctoral Training Partnership (grant number: NE/S007164/1). This work was also produced with financial assistance (to FDWC) of the Prince Albert II of Monaco Foundation, and (to ICW) from the United Kingdom Natural Environment Research Council awarded to the University of Cambridge (grant number: NE/T006234/1). TN and JW acknowledge support from the European Space Agency through the Antarctic Ice Sheet Climate Change Initiative (CCI) program.
This record's DOI: https://doi.org/10.17863/CAM.82248
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/