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...

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Bibliographic Details
Main Authors: Zhang, Enze, Liu, Lin, Huang, Lingcao, Ng, Ka Shing
Format: Dataset
Language:English
Published: PANGAEA 2020
Subjects:
Binary Object
calving front
Cryosphere
deep learning
Event label
glacier
Greenland
Helheim_glacier
Jakobshavn_Isbrae
KAN
Kangerlussuaq_settlem
MULT
Multiple investigations
remote sensing
Sermilik Fjord
SE Greenland
West Greenland
Kangerlussuaq
Jakobshavn Isbræ
Jakobshavn
Jakobshavn isbræ
Sermilik
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.923272
https://doi.org/10.1594/PANGAEA.923272
Description
Summary: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.

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