Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023

Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calvi...

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Main Authors: Li, Tian, Heidler, Konrad, Mou, Lichao, Ignéczi, Ádám, Zhu, Xiao Xiang, Bamber, Jonathan
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
Online Access:https://doi.org/10.5281/zenodo.8387051
id ftzenodo:oai:zenodo.org:8387051
record_format openpolar
spelling ftzenodo:oai:zenodo.org:8387051 2024-09-15T17:50:09+00:00 Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023 Li, Tian Heidler, Konrad Mou, Lichao Ignéczi, Ádám Zhu, Xiao Xiang Bamber, Jonathan 2023-09-28 https://doi.org/10.5281/zenodo.8387051 unknown Zenodo https://zenodo.org/communities/arctic-passion https://zenodo.org/communities/eu https://doi.org/10.5281/zenodo.8387050 https://doi.org/10.5281/zenodo.8387051 oai:zenodo.org:8387051 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Glacier Calving Svalbard Arctic Deep Learning info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.838705110.5281/zenodo.8387050 2024-07-25T14:39:06Z Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions. The dataset comprises 149 folders, each representing a distinct glacier. Each glacier folder contains the following five different files: a shapefile recording all the terminus traces of this glacier mapped in our study under the projection EPSG:3995; a shapefile containing the glacier centreline used in measuring the calving front migrations under the projection EPSG:3995; a .CSV file recording the glacier calving front change time series along the centreline in relation to the earliest time stamp; a .PNG file showing the geolocation of this glacier and its calving front traces; a .PNG file showing the calving front change time series along the glacier centreline. Calving Front Trace Shapefile Feature Attribute Table Data Field Description Glacier The Randolph Glacier Inventory (RGI) version 6 (RGI Consortium, 2017) glacier id. Sensor The satellite platform used in mapping glacier calving front, including “Landsat”, “Terra-ASTER”, “Sentinel2” and “Sentinel1”. ImageId The image id of the satellite image used in mapping the glacier calving front. DateString The datetime string of the satellite image in the format of “YYYYMMDD”. CFL_Change The calving front location (CFL) changes in meters along the glacier centreline in relation to the earliest calving front location in the time series. Other/Unknown Material Arctic glacier Global warming Svalbard Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Glacier
Calving
Svalbard
Arctic
Deep Learning
spellingShingle Glacier
Calving
Svalbard
Arctic
Deep Learning
Li, Tian
Heidler, Konrad
Mou, Lichao
Ignéczi, Ádám
Zhu, Xiao Xiang
Bamber, Jonathan
Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023
topic_facet Glacier
Calving
Svalbard
Arctic
Deep Learning
description Svalbard has experienced increased climate variability as a result of global warming, leading to significant mass loss in its marine-terminating glaciers over recent decades. Nevertheless, the mechanisms driving this mass loss remain less understood, primarily due to a limited understanding of calving dynamics. Here we present a new high-resolution calving front dataset of 149 marine-terminating glaciers in Svalbard, comprising 124919 glacier calving front positions during the period of 1985-2023. This dataset was generated using a novel automated deep learning framework and multiple optical and SAR satellite images from Landsat, Terra-ASTER, Sentinel-2, and Sentinel-1 satellite missions. The dataset comprises 149 folders, each representing a distinct glacier. Each glacier folder contains the following five different files: a shapefile recording all the terminus traces of this glacier mapped in our study under the projection EPSG:3995; a shapefile containing the glacier centreline used in measuring the calving front migrations under the projection EPSG:3995; a .CSV file recording the glacier calving front change time series along the centreline in relation to the earliest time stamp; a .PNG file showing the geolocation of this glacier and its calving front traces; a .PNG file showing the calving front change time series along the glacier centreline. Calving Front Trace Shapefile Feature Attribute Table Data Field Description Glacier The Randolph Glacier Inventory (RGI) version 6 (RGI Consortium, 2017) glacier id. Sensor The satellite platform used in mapping glacier calving front, including “Landsat”, “Terra-ASTER”, “Sentinel2” and “Sentinel1”. ImageId The image id of the satellite image used in mapping the glacier calving front. DateString The datetime string of the satellite image in the format of “YYYYMMDD”. CFL_Change The calving front location (CFL) changes in meters along the glacier centreline in relation to the earliest calving front location in the time series.
format Other/Unknown Material
author Li, Tian
Heidler, Konrad
Mou, Lichao
Ignéczi, Ádám
Zhu, Xiao Xiang
Bamber, Jonathan
author_facet Li, Tian
Heidler, Konrad
Mou, Lichao
Ignéczi, Ádám
Zhu, Xiao Xiang
Bamber, Jonathan
author_sort Li, Tian
title Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023
title_short Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023
title_full Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023
title_fullStr Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023
title_full_unstemmed Calving Front Dataset for Marine-Terminating Glaciers in Svalbard 1985-2023
title_sort calving front dataset for marine-terminating glaciers in svalbard 1985-2023
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.8387051
genre Arctic
glacier
Global warming
Svalbard
genre_facet Arctic
glacier
Global warming
Svalbard
op_relation https://zenodo.org/communities/arctic-passion
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.8387050
https://doi.org/10.5281/zenodo.8387051
oai:zenodo.org:8387051
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.838705110.5281/zenodo.8387050
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