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.8399899
id ftzenodo:oai:zenodo.org:8399899
record_format openpolar
spelling ftzenodo:oai:zenodo.org:8399899 2024-09-15T17:50:07+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.8399899 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.8399899 oai:zenodo.org:8399899 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.839989910.5281/zenodo.8387050 2024-07-26T22:28:12Z 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 information regarding the glacier calving front terminal traces, glacier centrelines, glacier domains, and the along-centreline glacier calving front change time series is consolidated into a single Geopackage file named "Svalbard_Calving_Front_Product.gpkg." The specific file structure for this data file is detailed in Table 1, and the feature attribute table for the different data layers recorded in this data file can be found in Table 2. Furthermore, we have included spatial distribution map plots of the glacier calving front traces and line plots depicting the time series of calving front changes for each individual glacier. These plots are provided in .PNG file format and can be accessed within the Figures folder. Table 1. The layer structure of the Svalbard calving front data product. Layer Name Details traces Line geometries recording the terminal traces of all the glaciers (EPSG:3995). centrelines Line geometries recording the glacier centrelines used in calving front change estimation (EPSG:3995). domains Polygon geometries recording the glacier domains (EPSG:3995). front_change_time_series Point geometries recording the along-centreline glacier calving front change time series (EPSG:4326). Table 2. The feature attribute table of the data layer. Data Field Description Glacier The Randolph Glacier Inventory (RGI) ... 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 information regarding the glacier calving front terminal traces, glacier centrelines, glacier domains, and the along-centreline glacier calving front change time series is consolidated into a single Geopackage file named "Svalbard_Calving_Front_Product.gpkg." The specific file structure for this data file is detailed in Table 1, and the feature attribute table for the different data layers recorded in this data file can be found in Table 2. Furthermore, we have included spatial distribution map plots of the glacier calving front traces and line plots depicting the time series of calving front changes for each individual glacier. These plots are provided in .PNG file format and can be accessed within the Figures folder. Table 1. The layer structure of the Svalbard calving front data product. Layer Name Details traces Line geometries recording the terminal traces of all the glaciers (EPSG:3995). centrelines Line geometries recording the glacier centrelines used in calving front change estimation (EPSG:3995). domains Polygon geometries recording the glacier domains (EPSG:3995). front_change_time_series Point geometries recording the along-centreline glacier calving front change time series (EPSG:4326). Table 2. The feature attribute table of the data layer. Data Field Description Glacier The Randolph Glacier Inventory (RGI) ...
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.8399899
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.8399899
oai:zenodo.org:8399899
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.839989910.5281/zenodo.8387050
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