Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin
This dataset containssea-ice floe segmentation products derived from 78 Medea images from the United StatesGeological Survey (USGS) Global Fiducials Library (GFL) acquired in the Arctic's Canada Basin from 1999 to 2014. Sea-ice floe segmentation is the identification of individual sea ice floes...
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ftzenodo:oai:zenodo.org:6341621 2024-09-15T18:00:54+00:00 Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin Denton, Alexis Anne Timmermans, Mary-Louise 2022-03-11 https://doi.org/10.5281/zenodo.6341621 unknown Zenodo https://doi.org/10.5194/tc-16-1563-2022 https://doi.org/10.5281/zenodo.6146144 https://doi.org/10.5281/zenodo.6341620 https://doi.org/10.5281/zenodo.6341621 oai:zenodo.org:6341621 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Sea Ice Remote Sensing Cryosphere Polar Oceanography info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.634162110.5194/tc-16-1563-202210.5281/zenodo.614614410.5281/zenodo.6341620 2024-07-27T08:05:53Z This dataset containssea-ice floe segmentation products derived from 78 Medea images from the United StatesGeological Survey (USGS) Global Fiducials Library (GFL) acquired in the Arctic's Canada Basin from 1999 to 2014. Sea-ice floe segmentation is the identification of individual sea ice floes in imagery for the purpose of retrieval of unique properties of those individual floes, such as their size or shape. The product was developed for and used in the analysis of the accompanying paper, Denton and Timmermans (2022) . The product was created using an algorithm written by Alexis Denton (Yale University) in tandem for the manuscript analysis. The script is also available at github.com/dentonaa/sea-ice-floe-segmentation . This image product was developed to contribute a novel, multidecadaldataset of identified sea icecharacteristics,namely floe size, to the Arctic science community. If you use this product in your work or research or for any other reason, credit the authors hereand cite the code DOI issued by Zenodo. The DOI badge to the right points to the latest released version of the repository. The development of this product and the research presented in the manuscript was funded by the Office of Naval Research as a part of their Multi-University Research Initiative (MURI) Mathematics and Data Science for Physical Modeling and Prediction of Sea Ice. To learn more about the work of the Sea Ice MURI, please visit https://seaicemuri.org/ . For further details about the dataset, please see Denton and Timmermans (2022) . A full description of the product files is as follows: This dataset is comprised of the sea-ice floe segmentation products derived from 78 MEDEA imagesacquired at various locationsin the Canada Basin from 1999 through 2014, and one ReadMe file. For each sea-ice floe segmented image, there are 3 files. Each of the 3 files starts with the naming convention, "sifloeseg_MEDEAImageName_segmentationParameters_", followed by a filename ending designated by the type of segmentation data stored, as ... Other/Unknown Material canada basin Sea ice Zenodo |
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Open Polar |
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language |
unknown |
topic |
Sea Ice Remote Sensing Cryosphere Polar Oceanography |
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Sea Ice Remote Sensing Cryosphere Polar Oceanography Denton, Alexis Anne Timmermans, Mary-Louise Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin |
topic_facet |
Sea Ice Remote Sensing Cryosphere Polar Oceanography |
description |
This dataset containssea-ice floe segmentation products derived from 78 Medea images from the United StatesGeological Survey (USGS) Global Fiducials Library (GFL) acquired in the Arctic's Canada Basin from 1999 to 2014. Sea-ice floe segmentation is the identification of individual sea ice floes in imagery for the purpose of retrieval of unique properties of those individual floes, such as their size or shape. The product was developed for and used in the analysis of the accompanying paper, Denton and Timmermans (2022) . The product was created using an algorithm written by Alexis Denton (Yale University) in tandem for the manuscript analysis. The script is also available at github.com/dentonaa/sea-ice-floe-segmentation . This image product was developed to contribute a novel, multidecadaldataset of identified sea icecharacteristics,namely floe size, to the Arctic science community. If you use this product in your work or research or for any other reason, credit the authors hereand cite the code DOI issued by Zenodo. The DOI badge to the right points to the latest released version of the repository. The development of this product and the research presented in the manuscript was funded by the Office of Naval Research as a part of their Multi-University Research Initiative (MURI) Mathematics and Data Science for Physical Modeling and Prediction of Sea Ice. To learn more about the work of the Sea Ice MURI, please visit https://seaicemuri.org/ . For further details about the dataset, please see Denton and Timmermans (2022) . A full description of the product files is as follows: This dataset is comprised of the sea-ice floe segmentation products derived from 78 MEDEA imagesacquired at various locationsin the Canada Basin from 1999 through 2014, and one ReadMe file. For each sea-ice floe segmented image, there are 3 files. Each of the 3 files starts with the naming convention, "sifloeseg_MEDEAImageName_segmentationParameters_", followed by a filename ending designated by the type of segmentation data stored, as ... |
format |
Other/Unknown Material |
author |
Denton, Alexis Anne Timmermans, Mary-Louise |
author_facet |
Denton, Alexis Anne Timmermans, Mary-Louise |
author_sort |
Denton, Alexis Anne |
title |
Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin |
title_short |
Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin |
title_full |
Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin |
title_fullStr |
Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin |
title_full_unstemmed |
Sea-Ice Floe Segmentation Products Derived from MEDEA Imagery for 1999 through 2014 in the Canada Basin |
title_sort |
sea-ice floe segmentation products derived from medea imagery for 1999 through 2014 in the canada basin |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.6341621 |
genre |
canada basin Sea ice |
genre_facet |
canada basin Sea ice |
op_relation |
https://doi.org/10.5194/tc-16-1563-2022 https://doi.org/10.5281/zenodo.6146144 https://doi.org/10.5281/zenodo.6341620 https://doi.org/10.5281/zenodo.6341621 oai:zenodo.org:6341621 |
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.634162110.5194/tc-16-1563-202210.5281/zenodo.614614410.5281/zenodo.6341620 |
_version_ |
1810438092159451136 |