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

This dataset has no data

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 .