Ice Core Science Meets Computer Vision: Challenges and Perspectives
Polar ice cores play a central role in studies of the earth’s climate system through natural archives. A pressing issue is the analysis of the oldest, highly thinned ice core sections, where the identification of paleoclimate signals is particularly challenging. For this, state-of-the-art imaging by...
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Online Access: | http://dx.doi.org/10.3389/fcomp.2021.690276 https://www.frontiersin.org/articles/10.3389/fcomp.2021.690276/full |
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crfrontiers:10.3389/fcomp.2021.690276 2024-09-15T18:11:55+00:00 Ice Core Science Meets Computer Vision: Challenges and Perspectives Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello H2020 Marie Skłodowska-Curie Actions Framework Programme 2021 http://dx.doi.org/10.3389/fcomp.2021.690276 https://www.frontiersin.org/articles/10.3389/fcomp.2021.690276/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Computer Science volume 3 ISSN 2624-9898 journal-article 2021 crfrontiers https://doi.org/10.3389/fcomp.2021.690276 2024-07-16T04:04:56Z Polar ice cores play a central role in studies of the earth’s climate system through natural archives. A pressing issue is the analysis of the oldest, highly thinned ice core sections, where the identification of paleoclimate signals is particularly challenging. For this, state-of-the-art imaging by laser-ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) has the potential to be revolutionary due to its combination of micron-scale 2D chemical information with visual features. However, the quantitative study of record preservation in chemical images raises new questions that call for the expertise of the computer vision community. To illustrate this new inter-disciplinary frontier, we describe a selected set of key questions. One critical task is to assess the paleoclimate significance of single line profiles along the main core axis, which we show is a scale-dependent problem for which advanced image analysis methods are critical. Another important issue is the evaluation of post-depositional layer changes, for which the chemical images provide rich information. Accordingly, the time is ripe to begin an intensified exchange between the two scientific communities of computer vision and ice core science. The collaborative building of a new framework for investigating high-resolution chemical images with automated image analysis techniques will also benefit the already wide-spread application of laser-ablation inductively-coupled plasma mass spectrometry chemical imaging in the geosciences. Article in Journal/Newspaper ice core Frontiers (Publisher) Frontiers in Computer Science 3 |
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Polar ice cores play a central role in studies of the earth’s climate system through natural archives. A pressing issue is the analysis of the oldest, highly thinned ice core sections, where the identification of paleoclimate signals is particularly challenging. For this, state-of-the-art imaging by laser-ablation inductively-coupled plasma mass spectrometry (LA-ICP-MS) has the potential to be revolutionary due to its combination of micron-scale 2D chemical information with visual features. However, the quantitative study of record preservation in chemical images raises new questions that call for the expertise of the computer vision community. To illustrate this new inter-disciplinary frontier, we describe a selected set of key questions. One critical task is to assess the paleoclimate significance of single line profiles along the main core axis, which we show is a scale-dependent problem for which advanced image analysis methods are critical. Another important issue is the evaluation of post-depositional layer changes, for which the chemical images provide rich information. Accordingly, the time is ripe to begin an intensified exchange between the two scientific communities of computer vision and ice core science. The collaborative building of a new framework for investigating high-resolution chemical images with automated image analysis techniques will also benefit the already wide-spread application of laser-ablation inductively-coupled plasma mass spectrometry chemical imaging in the geosciences. |
author2 |
H2020 Marie Skłodowska-Curie Actions Framework Programme |
format |
Article in Journal/Newspaper |
author |
Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello |
spellingShingle |
Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello Ice Core Science Meets Computer Vision: Challenges and Perspectives |
author_facet |
Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello |
author_sort |
Bohleber, Pascal |
title |
Ice Core Science Meets Computer Vision: Challenges and Perspectives |
title_short |
Ice Core Science Meets Computer Vision: Challenges and Perspectives |
title_full |
Ice Core Science Meets Computer Vision: Challenges and Perspectives |
title_fullStr |
Ice Core Science Meets Computer Vision: Challenges and Perspectives |
title_full_unstemmed |
Ice Core Science Meets Computer Vision: Challenges and Perspectives |
title_sort |
ice core science meets computer vision: challenges and perspectives |
publisher |
Frontiers Media SA |
publishDate |
2021 |
url |
http://dx.doi.org/10.3389/fcomp.2021.690276 https://www.frontiersin.org/articles/10.3389/fcomp.2021.690276/full |
genre |
ice core |
genre_facet |
ice core |
op_source |
Frontiers in Computer Science volume 3 ISSN 2624-9898 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fcomp.2021.690276 |
container_title |
Frontiers in Computer Science |
container_volume |
3 |
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1810449506882289664 |