Planet Four: a neural network’s search for polar spring-time fans on Mars
Dark deposits visible from orbit appear in the Martian south polar region during the springtime. These are thought to form from explosive jets of carbon dioxide gas breaking through the thawing seasonal ice cap, carrying dust and dirt which is then deposited onto the ice as dark ‘blotches’, or blown...
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2023
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Online Access: | https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e https://doi.org/10.1016/j.icarus.2022.115308 https://pureadmin.qub.ac.uk/ws/files/402925991/1_s2.0_S0019103522004006_main.pdf |
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ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/d02b54f8-00ab-488f-af0a-def25413517e 2024-05-19T07:41:57+00:00 Planet Four: a neural network’s search for polar spring-time fans on Mars McDonnell, Mark D. Jones, Eriita Schwamb, Megan E. Aye, K-Michael Portyankina, Ganna Hansen, Candice J. 2023-02 application/pdf https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e https://doi.org/10.1016/j.icarus.2022.115308 https://pureadmin.qub.ac.uk/ws/files/402925991/1_s2.0_S0019103522004006_main.pdf eng eng https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e info:eu-repo/semantics/openAccess McDonnell , M D , Jones , E , Schwamb , M E , Aye , K-M , Portyankina , G & Hansen , C J 2023 , ' Planet Four: a neural network’s search for polar spring-time fans on Mars ' , Icarus , vol. 391 , 115308 . https://doi.org/10.1016/j.icarus.2022.115308 article 2023 ftqueensubelpubl https://doi.org/10.1016/j.icarus.2022.115308 2024-05-02T00:49:06Z Dark deposits visible from orbit appear in the Martian south polar region during the springtime. These are thought to form from explosive jets of carbon dioxide gas breaking through the thawing seasonal ice cap, carrying dust and dirt which is then deposited onto the ice as dark ‘blotches’, or blown by the surface winds into streaks or ‘fans’. We investigate machine learning (ML) methods for automatically identifying these seasonal features in High Resolution Imaging Science Experiment (HiRISE) satellite imagery. We designed deep Convolutional Neural Networks (CNNs) that were trained and tested using the catalog generated by Planet Four, an online citizen science project mapping the south polar seasonal deposits. We validated the CNNs by comparing their results with those of ISODATA (Iterative Self-Organizing Data Analysis Technique) clustering and as expected, the CNNs were significantly better at predicting the results found by Planet Four, in both the area of predicted seasonal deposits and in delineating their boundaries. We found neither the CNNs or ISODATA were suited to predicting the source point and directions of seasonal fans, which is a strength of the citizen science approach. The CNNs showed good agreement with Planet Four in cross-validation metrics and detected some seasonal deposits in the HiRISE images missed in the Planet Four catalog; the total area of seasonal deposits predicted by the CNNs was 27% larger than that of the Planet Four catalog, but this aspect varied considerably on a per-image basis. Article in Journal/Newspaper Ice cap Queen's University Belfast Research Portal Icarus 391 115308 |
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Open Polar |
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Queen's University Belfast Research Portal |
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ftqueensubelpubl |
language |
English |
description |
Dark deposits visible from orbit appear in the Martian south polar region during the springtime. These are thought to form from explosive jets of carbon dioxide gas breaking through the thawing seasonal ice cap, carrying dust and dirt which is then deposited onto the ice as dark ‘blotches’, or blown by the surface winds into streaks or ‘fans’. We investigate machine learning (ML) methods for automatically identifying these seasonal features in High Resolution Imaging Science Experiment (HiRISE) satellite imagery. We designed deep Convolutional Neural Networks (CNNs) that were trained and tested using the catalog generated by Planet Four, an online citizen science project mapping the south polar seasonal deposits. We validated the CNNs by comparing their results with those of ISODATA (Iterative Self-Organizing Data Analysis Technique) clustering and as expected, the CNNs were significantly better at predicting the results found by Planet Four, in both the area of predicted seasonal deposits and in delineating their boundaries. We found neither the CNNs or ISODATA were suited to predicting the source point and directions of seasonal fans, which is a strength of the citizen science approach. The CNNs showed good agreement with Planet Four in cross-validation metrics and detected some seasonal deposits in the HiRISE images missed in the Planet Four catalog; the total area of seasonal deposits predicted by the CNNs was 27% larger than that of the Planet Four catalog, but this aspect varied considerably on a per-image basis. |
format |
Article in Journal/Newspaper |
author |
McDonnell, Mark D. Jones, Eriita Schwamb, Megan E. Aye, K-Michael Portyankina, Ganna Hansen, Candice J. |
spellingShingle |
McDonnell, Mark D. Jones, Eriita Schwamb, Megan E. Aye, K-Michael Portyankina, Ganna Hansen, Candice J. Planet Four: a neural network’s search for polar spring-time fans on Mars |
author_facet |
McDonnell, Mark D. Jones, Eriita Schwamb, Megan E. Aye, K-Michael Portyankina, Ganna Hansen, Candice J. |
author_sort |
McDonnell, Mark D. |
title |
Planet Four: a neural network’s search for polar spring-time fans on Mars |
title_short |
Planet Four: a neural network’s search for polar spring-time fans on Mars |
title_full |
Planet Four: a neural network’s search for polar spring-time fans on Mars |
title_fullStr |
Planet Four: a neural network’s search for polar spring-time fans on Mars |
title_full_unstemmed |
Planet Four: a neural network’s search for polar spring-time fans on Mars |
title_sort |
planet four: a neural network’s search for polar spring-time fans on mars |
publishDate |
2023 |
url |
https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e https://doi.org/10.1016/j.icarus.2022.115308 https://pureadmin.qub.ac.uk/ws/files/402925991/1_s2.0_S0019103522004006_main.pdf |
genre |
Ice cap |
genre_facet |
Ice cap |
op_source |
McDonnell , M D , Jones , E , Schwamb , M E , Aye , K-M , Portyankina , G & Hansen , C J 2023 , ' Planet Four: a neural network’s search for polar spring-time fans on Mars ' , Icarus , vol. 391 , 115308 . https://doi.org/10.1016/j.icarus.2022.115308 |
op_relation |
https://pure.qub.ac.uk/en/publications/d02b54f8-00ab-488f-af0a-def25413517e |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1016/j.icarus.2022.115308 |
container_title |
Icarus |
container_volume |
391 |
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115308 |
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