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
Always quote citation above when using data! You can download the citation in several formats below.
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.
Related to:
Zhang, Enze; Liu, Lin; Huang, Lingcao; Ng, Ka Shing (2021): An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery. Remote Sensing of Environment, 254, 112265, https://doi.org/10.1016/j.rse.2020.112265
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):
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Event label | Event | Zhang, Enze | |||
2 | Binary Object | Binary | Zhang, Enze |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
4 data points