Network delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim

doi:doi:10.1594/PANGAEA.923272

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Network delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim

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.

Data and Resources

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Cite this as

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

DOI retrieved: 2020

Additional Info

Field	Value
Imported on	November 29, 2024
Last update	November 29, 2024
License	CC-BY-4.0
Source	https://doi.org/10.1594/PANGAEA.923272
Author	Zhang, Enze
Given Name	Enze
Family Name	Zhang
More Authors	Liu, Lin Huang, Lingcao Ng, Ka Shing
Source Creation	2020
Publication Year	2020
Resource Type	text/tab-separated-values - filename: Zhang-etal_2020a
Subject Areas	Name: Cryosphere Name: Ecology Name: HumanDimensions Name: LandSurface
Related Identifiers	Title: An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery Identifier: https://doi.org/10.1016/j.rse.2020.112265 Type: DOI Relation: References Year: 2021 Source: Remote Sensing of Environment Authors: Zhang Enze , Liu Lin , Huang Lingcao , Ng Ka Shing .