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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ftcopernicus:oai:publications.copernicus.org:tc109937 2023-10-25T01:38:50+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 Wyk De Vries, Maximillian Kochtitzky, William Shean, David Copland, Luke Dow, Christine Jones-Ivey, Renette Pérez, Fernando 2023-09-19 application/pdf https://doi.org/10.5194/tc-17-4063-2023 https://tc.copernicus.org/articles/17/4063/2023/ eng eng doi:10.5194/tc-17-4063-2023 https://tc.copernicus.org/articles/17/4063/2023/ eISSN: 1994-0424 Text 2023 ftcopernicus https://doi.org/10.5194/tc-17-4063-2023 2023-09-25T16:24:15Z 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). Text glacier* Yukon Copernicus Publications: E-Journals 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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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
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 |
Text |
author |
Zheng, Whyjay Bhushan, Shashank Wyk De Vries, Maximillian Kochtitzky, William Shean, David Copland, Luke Dow, Christine Jones-Ivey, Renette Pérez, Fernando |
spellingShingle |
Zheng, Whyjay Bhushan, Shashank 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 |
author_facet |
Zheng, Whyjay Bhushan, Shashank 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 |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-4063-2023 https://tc.copernicus.org/articles/17/4063/2023/ |
long_lat |
ENVELOPE(-139.104,-139.104,60.749,60.749) |
geographic |
Yukon Canada Kaskawulsh Glacier |
geographic_facet |
Yukon Canada Kaskawulsh Glacier |
genre |
glacier* Yukon |
genre_facet |
glacier* Yukon |
op_source |
eISSN: 1994-0424 |
op_relation |
doi:10.5194/tc-17-4063-2023 https://tc.copernicus.org/articles/17/4063/2023/ |
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 |
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1780733998267367424 |