Dataset Open Access

Greenland Ice Sheet crevasse map from ArcticDEM

Chudley, Thomas R.

Data Description

Parameter  
Title Greenland Ice Sheet crevasse map from ArcticDEM
Version 1.00
Format GeoTiff
Projection WGS84 / NSIDC Sea Ice Polar Stereographic North (EPSG: 3413)
Resolution 2 m (binary) and 200 m (fraction)
Size 3.5 GB (total binary) and 22 MB (total fraction)
Citation Chudley et al. (2021)
Contact Tom Chudley
Email chudley.1@osu.edu

Products

This dataset contains crevasse locations identified from the ArcticDEM v3 mosaic. There are two primary products: a 2 m binary crevasse map, and a 200 m crevasse fraction map. It is divided into the six IMBIE 'Rignot' drainage basins: central west (CW), southwest (SW), southeast (SE), northeast (NE), north (NO), northwest (NW).

2 m crevasse binary

Byte GeoTiff product indicating derived crevasses at 2 m resolution. File naming convention is:

crevasse_binary_XX_2m.tif

where XX is the IMBIE basin code.

Value Meaning
0 No data
1 No crevasses identified
2 Crevasses identified

200 m crevasse fraction

Float32 GeoTiff product indicating fraction of 200 m grid cell identified as crevasses in the 200 m product. File naming convention is:

crevasse_fraction_XX_2m.tif

where XX is the IMBIE basin code.

Value Meaning
0 -- 1 Fraction of grid cell identified as crevasse in 2 m dataset
-9999 No data

Method

The full processing chain for data derivation is described in Chudley et al. (2021). A binary crevasse mask of the Greenland Ice Sheet is generated using ArcticDEM v3 mosaic data at 2 m resolution (Porter et al., 2018), with data processed in Google Earth Engine (Gorelick et al., 2017). The ArcticDEM is cropped to the GIMP ice mask (Howat et al., 2014), before a smoothed elevation model is generated by performing an image convolution with a circular kernel of 50 m radius. Residuals greater than 1 m between the smoothed and raw elevation values were identified as crevasses. To compare with public velocity datasets (and derived strain rates, stress, etc.), the 2 m dataset was aggregated (using GDAL) into grid cells to match the resolution (200 m) of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) ice sheet surface velocity grid (Joughin, 2010; 2021). Aggregated values represent the fraction of grid cell area classified as crevasses.

Caveats

  • The method, including kernel size was tuned manually based on the region of interest of the original Chudley et al. (2021) paper. As such, it may not be optimal for other regions of interest on the ice sheet, in particular in the east, where medial moraines and marginal valleys are more prevalent (see caveat #4).
  • The ArcticDEM is derived from optical MAXAR imagery. As such, snow-filled crevasses will not be identified here, which will be problematic above the ablation zone.
  • Following comparison with Uncrewed Aerial Vehicle (UAV) data in Chudley et al. (2021), the approximate lower bound of crevasse width identified is ~10 m. These are large crevasses, far greater than are commonly encountered in safe fieldwork environments.
  • This method is relatively crude: at its core, it is effectively a high-pass filter applied to the ArcticDEM mosaic. As such, there are false positives that occur around other supraglacial features (rivers, moraines, etc.) as well as marginal features (proglacial geomorphology, fjord sikkusak, etc.) that are captured in regions where the GIMP ice mask does not accurately capture the terrestrial ice extent at the time of ArcticDEM data capture. Users are encouraged to critically evaluate data in their areas of interest using the 2 m binary map and external data, even when intending to use only the 200 m fraction dataset.

Citation

When using this data, please cite:

Chudley, T. R. (2022) Greenland Ice Sheet crevasse map from ArcticDEM. Zenodo [dataset]. https://doi.org/10.5281/zenodo.6779088.

Chudley, T. R., Christoffersen, P., Doyle, S. H., Dowling, T. P. F., Law, R., Schoonman, C. M., Bougamont, M., & Hubbard, B. (2021). Controls on water storage and drainage in crevasses on the Greenland Ice Sheet. Journal of Geophysical Research: Earth Surface, 126, e2021JF006287. https://doi.org/10.1029/2021JF006287.

Acknowledgements

Initial processing chain created whilst Chudley was supported by a Natural Environment Research Council Doctoral Training Partnership Studentship (Grant No. NE/L002507/1).

ArcticDEM v3 mosaic is provided by the Polar Geospatial Center under NSF-OPP awards 1043681, 1559691, and 1542736.

Files (3.5 GB)
Name Size
crevasse_binary_CW_2m.tif
md5:1e232a49f4f2f755327b9a0c947eb871
269.7 MB Download
crevasse_binary_NE_2m.tif
md5:b311173c981d87026c673f06d214bb9e
748.4 MB Download
crevasse_binary_NO_2m.tif
md5:13944cbd980c3f3b585a4e5c4cfd6941
494.5 MB Download
crevasse_binary_NW_2m.tif
md5:a7701c1cc5805c90d6435594f7fcedf8
469.5 MB Download
crevasse_binary_SE_2m.tif
md5:a4985ed327015c9e1f3d2b5da742cbbb
1.1 GB Download
crevasse_binary_SW_2m.tif
md5:0c0f5690f7038dd8c34e4e95b0076a9b
370.9 MB Download
crevasse_fraction_CW_200m.tif
md5:a3870d3df580a4e5584bc764064c23d9
1.6 MB Download
crevasse_fraction_NE_200m.tif
md5:43b49401eb9cbe61e9bb8b31982ab667
4.0 MB Download
crevasse_fraction_NO_200m.tif
md5:ae47cd91e4b389487e4e6586b6fe876e
2.3 MB Download
crevasse_fraction_NW_200m.tif
md5:c6685480739c1e2f364f27d2f4886c2a
3.2 MB Download
crevasse_fraction_SE_200m.tif
md5:d4851a81b9f7297ddcfe8e52c527ae0b
8.0 MB Download
crevasse_fraction_SW_200m.tif
md5:530d09407300187c331107d1f7c8b6f6
2.9 MB Download
README.md
md5:e3f86ae0167773cca75a25b234463710
6.7 kB Download
  • Chudley, T. R., Christoffersen, P., Doyle, S. H., Dowling, T. P. F., Law, R., Schoonman, C. M., Bougamont, M., & Hubbard, B. (2021). Controls on water storage and drainage in crevasses on the Greenland Ice Sheet. Journal of Geophysical Research: Earth Surface, 126, e2021JF006287. https://doi.org/10.1029/2021JF006287

  • Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031

  • Howat, I. M., Negrete, A., & Smith, B. E. (2014). The Greenland Ice Mapping Project (GIMP) land classification and surface elevation data sets. The Cryosphere, 8(4), 1509–1518. https://doi.org/10.5194/tc-8-1509-2014

  • Joughin, I. (2021). MEaSUREs Greenland Annual Ice Sheet Velocity Mosaics from SAR and Landsat, Version 3. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/C2GFA20CXUI4

  • Joughin, I. (2010). Greenland Flow Variability from Ice-Sheet-Wide Velocity Mapping. Journal of Glaciology. 56. 415-430. https://doi.org/10.3189/002214310792447734

  • Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K., et al. (2018). ArcticDEM. Harvard Dataverse. https://doi.org/10.7910/DVN/OHHUKH

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