First Results Of The Planetfour Citizen Science Project

We report preliminary results of the analysis of crowd- sourcing data on fan-shaped deposits that are produced by CO2 gas jets depositing sand and dust on top of the seasonal CO2 ice layer at the Martian south pole A database of over 98,000 HiRISE subframes has been produced that is embedded into a...

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Main Authors: Aye, K.-Michael, Schwamb, Meg E., Hansen, C. J., Portyankina, Ganna
Format: Still Image
Language:unknown
Published: Zenodo 2015
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.34114
https://zenodo.org/record/34114
id ftdatacite:10.5281/zenodo.34114
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spelling ftdatacite:10.5281/zenodo.34114 2023-05-15T18:22:15+02:00 First Results Of The Planetfour Citizen Science Project Aye, K.-Michael Schwamb, Meg E. Hansen, C. J. Portyankina, Ganna 2015 https://dx.doi.org/10.5281/zenodo.34114 https://zenodo.org/record/34114 unknown Zenodo http://adsabs.harvard.edu/abs/2015DPS....4742001A Open Access Creative Commons Attribution 4.0 https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess CC-BY Mars Citizen Science Text Poster article-journal ScholarlyArticle 2015 ftdatacite https://doi.org/10.5281/zenodo.34114 2021-11-05T12:55:41Z We report preliminary results of the analysis of crowd- sourcing data on fan-shaped deposits that are produced by CO2 gas jets depositing sand and dust on top of the seasonal CO2 ice layer at the Martian south pole A database of over 98,000 HiRISE subframes has been produced that is embedded into a web-based graphical interface for marking the position and outline of the fan deposits. Clustering techniques (DBSCAN) are used to combine these data into coordinates and orientations to provide data on the intra- and inter-seasonal developments of the fan-shaped deposits in several active south polar regions. : {"references": ["Scikit-learn: Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011"]} Still Image South pole DataCite Metadata Store (German National Library of Science and Technology) South Pole
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Mars
Citizen Science
spellingShingle Mars
Citizen Science
Aye, K.-Michael
Schwamb, Meg E.
Hansen, C. J.
Portyankina, Ganna
First Results Of The Planetfour Citizen Science Project
topic_facet Mars
Citizen Science
description We report preliminary results of the analysis of crowd- sourcing data on fan-shaped deposits that are produced by CO2 gas jets depositing sand and dust on top of the seasonal CO2 ice layer at the Martian south pole A database of over 98,000 HiRISE subframes has been produced that is embedded into a web-based graphical interface for marking the position and outline of the fan deposits. Clustering techniques (DBSCAN) are used to combine these data into coordinates and orientations to provide data on the intra- and inter-seasonal developments of the fan-shaped deposits in several active south polar regions. : {"references": ["Scikit-learn: Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011"]}
format Still Image
author Aye, K.-Michael
Schwamb, Meg E.
Hansen, C. J.
Portyankina, Ganna
author_facet Aye, K.-Michael
Schwamb, Meg E.
Hansen, C. J.
Portyankina, Ganna
author_sort Aye, K.-Michael
title First Results Of The Planetfour Citizen Science Project
title_short First Results Of The Planetfour Citizen Science Project
title_full First Results Of The Planetfour Citizen Science Project
title_fullStr First Results Of The Planetfour Citizen Science Project
title_full_unstemmed First Results Of The Planetfour Citizen Science Project
title_sort first results of the planetfour citizen science project
publisher Zenodo
publishDate 2015
url https://dx.doi.org/10.5281/zenodo.34114
https://zenodo.org/record/34114
geographic South Pole
geographic_facet South Pole
genre South pole
genre_facet South pole
op_relation http://adsabs.harvard.edu/abs/2015DPS....4742001A
op_rights Open Access
Creative Commons Attribution 4.0
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.34114
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