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

This dataset contains manually-delineated calving front positions at Jakobshavn Isbræ, Kangerlussuaq, Helheim, covering from 2003 to 2019. These manually-delineated calving fronts are for training, validating, and testing our deep learning network. The format of this dataset is Shapefile.

Data and Resources

This dataset has no data

Cite this as

Zhang, Enze, Liu, Lin, Huang, Lingcao, Ng, Ka Shing (2020). Dataset: Manually delineated calving fronts at Jakobshavn Isbræ, Kangerlussuaq, and Helheim. https://doi.org/10.1594/PANGAEA.923270

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.923270
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_2020
Subject Areas
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 .