How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice
•Sea ice in polar region have become increasingly important due to it’s a sensitive climate change indicator. •High spatial resolution (HSR) imagery is critical in Arctic sea ice research for verifying the satellite data, extracting sea ice physical parameters •This project aims to develop an open s...
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ftzenodo:oai:zenodo.org:6874974 2023-05-15T14:35:53+02:00 How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice Chaowei Yang Dexuan Sha Anusha Srirenganathan Xin Miao Hongjie Xie Younghyun Koo 2022-07-21 https://zenodo.org/record/6874974 https://doi.org/10.5281/zenodo.6874974 unknown doi:10.5281/zenodo.6874973 https://zenodo.org/communities/cssi2022 https://zenodo.org/record/6874974 https://doi.org/10.5281/zenodo.6874974 oai:zenodo.org:6874974 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode sea ice arctic climate change AI training datasets online service info:eu-repo/semantics/other publication-other 2022 ftzenodo https://doi.org/10.5281/zenodo.687497410.5281/zenodo.6874973 2023-03-11T02:03:38Z •Sea ice in polar region have become increasingly important due to it’s a sensitive climate change indicator. •High spatial resolution (HSR) imagery is critical in Arctic sea ice research for verifying the satellite data, extracting sea ice physical parameters •This project aims to develop an open science approach to collect and process the HSR data, integrate knowledge, and analyze scientific phenomena to support polar sciences. Other/Unknown Material Arctic Climate change Sea ice Zenodo Arctic |
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Open Polar |
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unknown |
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sea ice arctic climate change AI training datasets online service |
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sea ice arctic climate change AI training datasets online service Chaowei Yang Dexuan Sha Anusha Srirenganathan Xin Miao Hongjie Xie Younghyun Koo How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice |
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sea ice arctic climate change AI training datasets online service |
description |
•Sea ice in polar region have become increasingly important due to it’s a sensitive climate change indicator. •High spatial resolution (HSR) imagery is critical in Arctic sea ice research for verifying the satellite data, extracting sea ice physical parameters •This project aims to develop an open science approach to collect and process the HSR data, integrate knowledge, and analyze scientific phenomena to support polar sciences. |
format |
Other/Unknown Material |
author |
Chaowei Yang Dexuan Sha Anusha Srirenganathan Xin Miao Hongjie Xie Younghyun Koo |
author_facet |
Chaowei Yang Dexuan Sha Anusha Srirenganathan Xin Miao Hongjie Xie Younghyun Koo |
author_sort |
Chaowei Yang |
title |
How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice |
title_short |
How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice |
title_full |
How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice |
title_fullStr |
How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice |
title_full_unstemmed |
How to leverage AI/ML for Earth Science Research: An Open Science Approach with Arctic Sea Ice |
title_sort |
how to leverage ai/ml for earth science research: an open science approach with arctic sea ice |
publishDate |
2022 |
url |
https://zenodo.org/record/6874974 https://doi.org/10.5281/zenodo.6874974 |
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Arctic |
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Arctic |
genre |
Arctic Climate change Sea ice |
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Arctic Climate change Sea ice |
op_relation |
doi:10.5281/zenodo.6874973 https://zenodo.org/communities/cssi2022 https://zenodo.org/record/6874974 https://doi.org/10.5281/zenodo.6874974 oai:zenodo.org:6874974 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.687497410.5281/zenodo.6874973 |
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1766308626811584512 |