GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking
Glacier velocity measurements are essential to understand ice flow mechanics, monitor natural hazards, and make accurate projections of future sea-level rise. Despite these important applications, the method most commonly used to derive glacier velocity maps, feature tracking, relies on empirical pa...
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Copernicus Publications
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00068908 2023-10-09T21:51:48+02:00 GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking Zheng, Whyjay Bhushan, Shashank Van Wyk De Vries, Maximillian Kochtitzky, William Shean, David Copland, Luke Dow, Christine Jones-Ivey, Renette Pérez, Fernando 2023-09 electronic https://doi.org/10.5194/tc-17-4063-2023 https://noa.gwlb.de/receive/cop_mods_00068908 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067317/tc-17-4063-2023.pdf https://tc.copernicus.org/articles/17/4063/2023/tc-17-4063-2023.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-4063-2023 https://noa.gwlb.de/receive/cop_mods_00068908 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067317/tc-17-4063-2023.pdf https://tc.copernicus.org/articles/17/4063/2023/tc-17-4063-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/tc-17-4063-2023 2023-09-24T23:21:37Z Glacier velocity measurements are essential to understand ice flow mechanics, monitor natural hazards, and make accurate projections of future sea-level rise. Despite these important applications, the method most commonly used to derive glacier velocity maps, feature tracking, relies on empirical parameter choices that rarely account for glacier physics or uncertainty. Here we test two statistics- and physics-based metrics to evaluate velocity maps derived from optical satellite images of Kaskawulsh Glacier, Yukon, Canada, using a range of existing feature-tracking workflows. Based on inter-comparisons with ground truth data, velocity maps with metrics falling within our recommended ranges contain fewer erroneous measurements and more spatially correlated noise than velocity maps with metrics that deviate from those ranges. Thus, these metric ranges are suitable for refining feature-tracking workflows and evaluating the resulting velocity products. We have released an open-source software package for computing and visualizing these metrics, the GLAcier Feature Tracking testkit (GLAFT). Article in Journal/Newspaper glacier* The Cryosphere Yukon Niedersächsisches Online-Archiv NOA Yukon Canada Kaskawulsh Glacier ENVELOPE(-139.104,-139.104,60.749,60.749) The Cryosphere 17 9 4063 4078 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Zheng, Whyjay Bhushan, Shashank Van Wyk De Vries, Maximillian Kochtitzky, William Shean, David Copland, Luke Dow, Christine Jones-Ivey, Renette Pérez, Fernando GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
topic_facet |
article Verlagsveröffentlichung |
description |
Glacier velocity measurements are essential to understand ice flow mechanics, monitor natural hazards, and make accurate projections of future sea-level rise. Despite these important applications, the method most commonly used to derive glacier velocity maps, feature tracking, relies on empirical parameter choices that rarely account for glacier physics or uncertainty. Here we test two statistics- and physics-based metrics to evaluate velocity maps derived from optical satellite images of Kaskawulsh Glacier, Yukon, Canada, using a range of existing feature-tracking workflows. Based on inter-comparisons with ground truth data, velocity maps with metrics falling within our recommended ranges contain fewer erroneous measurements and more spatially correlated noise than velocity maps with metrics that deviate from those ranges. Thus, these metric ranges are suitable for refining feature-tracking workflows and evaluating the resulting velocity products. We have released an open-source software package for computing and visualizing these metrics, the GLAcier Feature Tracking testkit (GLAFT). |
format |
Article in Journal/Newspaper |
author |
Zheng, Whyjay Bhushan, Shashank Van Wyk De Vries, Maximillian Kochtitzky, William Shean, David Copland, Luke Dow, Christine Jones-Ivey, Renette Pérez, Fernando |
author_facet |
Zheng, Whyjay Bhushan, Shashank Van Wyk De Vries, Maximillian Kochtitzky, William Shean, David Copland, Luke Dow, Christine Jones-Ivey, Renette Pérez, Fernando |
author_sort |
Zheng, Whyjay |
title |
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
title_short |
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
title_full |
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
title_fullStr |
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
title_full_unstemmed |
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
title_sort |
glacier feature tracking testkit (glaft): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-4063-2023 https://noa.gwlb.de/receive/cop_mods_00068908 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067317/tc-17-4063-2023.pdf https://tc.copernicus.org/articles/17/4063/2023/tc-17-4063-2023.pdf |
long_lat |
ENVELOPE(-139.104,-139.104,60.749,60.749) |
geographic |
Yukon Canada Kaskawulsh Glacier |
geographic_facet |
Yukon Canada Kaskawulsh Glacier |
genre |
glacier* The Cryosphere Yukon |
genre_facet |
glacier* The Cryosphere Yukon |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-4063-2023 https://noa.gwlb.de/receive/cop_mods_00068908 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067317/tc-17-4063-2023.pdf https://tc.copernicus.org/articles/17/4063/2023/tc-17-4063-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-17-4063-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
9 |
container_start_page |
4063 |
op_container_end_page |
4078 |
_version_ |
1779314915526311936 |