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Data Publisher for Earth & Environmental Science

Zhang, Enze; Liu, Lin; Huang, Lingcao; Ng, Ka Shing (2020): Network delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.923272

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Abstract:
This dataset contains calving front positions at Jakobshavn Isbræ, Kangerlussuaq, and Helheim, derived from seven remote sensing datasets, spanning from 2002 to 2019. The calving front data is delineated by a deep learning network. The format of this dataset is Shapefile. This calving front dataset would help to better understand glacier front variations.
Keyword(s):
calving front; Cryosphere; deep learning; glacier; remote sensing
Related to:
Zhang, Enze; Liu, Lin; Huang, Lingcao; Ng, Ka Shing (in prep.): An automated, generalized, deep-learning-based method for delineating calving fronts of Greenland glaciers from multi-sensor remote sensing imagery. Remote Sensing of Environment
Coverage:
Median Latitude: 67.515167 * Median Longitude: -46.230700 * South-bound Latitude: 66.366100 * West-bound Longitude: -50.713000 * North-bound Latitude: 69.171400 * East-bound Longitude: -38.195500
Event(s):
Helheim_glacier * Latitude: 66.366100 * Longitude: -38.195500 * Location: Sermilik Fjord, SE Greenland * Method/Device: Multiple investigations (MULT)
Jakobshavn_Isbrae * Latitude: 69.171400 * Longitude: -49.783600 * Location: West Greenland * Method/Device: Multiple investigations (MULT)
Kangerlussuaq_settlem (KAN) * Latitude: 67.008000 * Longitude: -50.713000 * Location: Greenland
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Event labelEventZhang, Enze
2Binary ObjectBinaryZhang, Enze
Size:
4 data points

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