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dc.contributor.authorLagain, Anthony
dc.contributor.authorServis, Konstantinos
dc.contributor.authorBenedix, Gretchen
dc.contributor.authorNorman, Christopher
dc.contributor.authorAnderson, Seamus
dc.contributor.authorBland, Philip
dc.date.accessioned2021-03-02T04:05:33Z
dc.date.available2021-03-02T04:05:33Z
dc.date.issued2021
dc.identifier.citationLagain, A. and Servis, K. and Benedix, G. and Norman, C. and Anderson, S. and Bland, P. 2021. Model Age Derivation of Large Martian Impact Craters, Using Automatic Crater Counting Methods. Earth and Space Science. 8 (2): e2020EA001598.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/82726
dc.identifier.doi10.1029/2020EA001598
dc.description.abstract

Determining when an impact crater formed is a complex and tedious task. However, this knowledge is crucial to understanding the geological history of planetary bodies and, more specifically, gives information on erosion rate measurements, meteorite ejection location, impact flux evolution and the loss of a magnetic field. The derivation of an individual crater's age is currently performed through manual counting. Because crater size scales as a power law, this method is limited to small (and/or young) surface areas and, in the case of the derivation of crater emplacement age, to a small set of impact craters. Here, we used a Crater Detection Algorithm, specifically retrained to detect small impact craters on large‐ and high‐resolution imagery data set to solve this issue. We applied it to a global, 5 m/pixel resolution mosaic of Mars. Here, we test the use of this data set to date 10 large impact craters. We developed a cluster analysis tool in order to distinguish potential secondary crater clusters from the primary crater population. We then use this, filtered, crater population to date each large impact crater and evaluate our results against literature ages. We found that automated counting filtered through clustering analysis produced similar model ages to manual counts. This technique can now be expanded to much wider crater dating surveys, and by extension to any other kind of Martian surface. We anticipate that this new tool will considerably expand our knowledge of the geological events that have shaped the surface of Mars, their timing and duration.

dc.publisherWiley-Blackwell
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/DP170102972
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/arc/FT170100024
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleModel Age Derivation of Large Martian Impact Craters, Using Automatic Crater Counting Methods
dc.typeJournal Article
dcterms.source.volume8
dcterms.source.number2
dcterms.source.issn2333-5084
dcterms.source.titleEarth and Space Science
dc.date.updated2021-03-02T04:05:33Z
curtin.departmentSchool of Earth and Planetary Sciences (EPS)
curtin.accessStatusOpen access
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidLagain, Anthony [0000-0002-5391-3001]
curtin.contributor.orcidBenedix, Gretchen [0000-0003-0990-8878]
curtin.identifier.article-numbere2020EA001598


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