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 imagi...
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Online Access: | http://hdl.handle.net/10278/3741758 https://doi.org/10.3389/fcomp.2021.690276 |
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ftuniveneziairis:oai:iris.unive.it:10278/3741758 2024-04-14T08:13:03+00:00 Ice Core Science Meets Computer Vision: Challenges and Perspectives Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello 2021 http://hdl.handle.net/10278/3741758 https://doi.org/10.3389/fcomp.2021.690276 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000670596800001 volume:3 journal:FRONTIERS IN COMPUTER SCIENCE info:eu-repo/grantAgreement/EC/H2020/790280 http://hdl.handle.net/10278/3741758 doi:10.3389/fcomp.2021.690276 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85111746647 info:eu-repo/semantics/openAccess ice core analysi chemical imaging laser ablation inductively-coupled plasma mass spectrometry image analysi scale space co-localization grain boundaries Settore CHIM/01 - Chimica Analitica Settore INF/01 - Informatica Settore GEO/08 - Geochimica e Vulcanologia info:eu-repo/semantics/article 2021 ftuniveneziairis https://doi.org/10.3389/fcomp.2021.690276 2024-03-21T18:18:29Z 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 Università Ca’ Foscari Venezia: ARCA (Archivio Istituzionale della Ricerca) Frontiers in Computer Science 3 |
institution |
Open Polar |
collection |
Università Ca’ Foscari Venezia: ARCA (Archivio Istituzionale della Ricerca) |
op_collection_id |
ftuniveneziairis |
language |
English |
topic |
ice core analysi chemical imaging laser ablation inductively-coupled plasma mass spectrometry image analysi scale space co-localization grain boundaries Settore CHIM/01 - Chimica Analitica Settore INF/01 - Informatica Settore GEO/08 - Geochimica e Vulcanologia |
spellingShingle |
ice core analysi chemical imaging laser ablation inductively-coupled plasma mass spectrometry image analysi scale space co-localization grain boundaries Settore CHIM/01 - Chimica Analitica Settore INF/01 - Informatica Settore GEO/08 - Geochimica e Vulcanologia Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello Ice Core Science Meets Computer Vision: Challenges and Perspectives |
topic_facet |
ice core analysi chemical imaging laser ablation inductively-coupled plasma mass spectrometry image analysi scale space co-localization grain boundaries Settore CHIM/01 - Chimica Analitica Settore INF/01 - Informatica Settore GEO/08 - Geochimica e Vulcanologia |
description |
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 |
Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello |
format |
Article in Journal/Newspaper |
author |
Bohleber, Pascal Roman, Marco Barbante, Carlo Vascon, Sebastiano Siddiqi, Kaleem Pelillo, Marcello |
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 |
publishDate |
2021 |
url |
http://hdl.handle.net/10278/3741758 https://doi.org/10.3389/fcomp.2021.690276 |
genre |
ice core |
genre_facet |
ice core |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000670596800001 volume:3 journal:FRONTIERS IN COMPUTER SCIENCE info:eu-repo/grantAgreement/EC/H2020/790280 http://hdl.handle.net/10278/3741758 doi:10.3389/fcomp.2021.690276 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85111746647 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.3389/fcomp.2021.690276 |
container_title |
Frontiers in Computer Science |
container_volume |
3 |
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1796310929725456384 |