Bickel, V T; Thomas, N; Pommerol, A; Tornabene, L L; El-Maarry, M R; Rangarajan, V G (2024). A Global Dataset of Potential Chloride Deposits on Mars as Identified by TGO CaSSIS. Scientific data, 11(845) Nature Publishing Group 10.1038/s41597-024-03685-3
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Chloride deposits are markers for early Mars' aqueous past, with important implications for our understanding of the martian climate and habitability. The Colour and Stereo Surface Imaging System (CaSSIS) onboard ESA's Trace Gas Orbiter provides high-resolution color-infrared images, enabling a planet-wide search for (small) potentially chloride-bearing deposits. Here, we use a neural network to map potentially chloride-bearing deposits in CaSSIS images over a significant fraction of the planet. We identify 965 chloride deposit candidates with diameters ranging from <300 to >3000 m, including previously unknown deposits, 136 (~14%) of which are located in the highlands north of the equator, up to ~36°N. Northern chloride candidates tend to be smaller than in the south and are predominantly located in small-scale topographic depressions in low-albedo Noachian and Hesperian highland terranes. Our new dataset augments existing chloride deposit maps, informs current and future imaging campaigns, and enables future modelling work towards a better understanding of the distribution of near-surface water in Mars' distant past.
Item Type: |
Journal Article (Original Article) |
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Division/Institute: |
08 Faculty of Science > Physics Institute > Space Research and Planetary Sciences 08 Faculty of Science > Physics Institute 10 Strategic Research Centers > Center for Space and Habitability (CSH) |
UniBE Contributor: |
Bickel, Valentin Tertius, Thomas, Nicolas, Pommerol, Antoine |
Subjects: |
500 Science > 520 Astronomy 600 Technology > 620 Engineering |
ISSN: |
2052-4463 |
Publisher: |
Nature Publishing Group |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
05 Aug 2024 10:11 |
Last Modified: |
06 Aug 2024 06:16 |
Publisher DOI: |
10.1038/s41597-024-03685-3 |
PubMed ID: |
39097645 |
BORIS DOI: |
10.48350/199473 |
URI: |
https://boris.unibe.ch/id/eprint/199473 |