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Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars

Short-term and long-term science plans were developed as part of the strategic planning process used by the Biologic Analog Science Associated with Lava Terrains (BASALT) science team to conduct two Mars-simulation missions investigating basalt habitability at terrestrial volcanic analog sites in 20...

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Autores principales: Brady, Allyson L., Kobs Nawotniak, Shannon E., Hughes, Scott S., Payler, Samuel J., Stevens, Adam H., Cockell, Charles S., Elphic, Richard C., Sehlke, Alexander, Haberle, Christopher W., Slater, Greg F., Lim, Darlene S.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442241/
https://www.ncbi.nlm.nih.gov/pubmed/30840500
http://dx.doi.org/10.1089/ast.2018.1850
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author Brady, Allyson L.
Kobs Nawotniak, Shannon E.
Hughes, Scott S.
Payler, Samuel J.
Stevens, Adam H.
Cockell, Charles S.
Elphic, Richard C.
Sehlke, Alexander
Haberle, Christopher W.
Slater, Greg F.
Lim, Darlene S.S.
author_facet Brady, Allyson L.
Kobs Nawotniak, Shannon E.
Hughes, Scott S.
Payler, Samuel J.
Stevens, Adam H.
Cockell, Charles S.
Elphic, Richard C.
Sehlke, Alexander
Haberle, Christopher W.
Slater, Greg F.
Lim, Darlene S.S.
author_sort Brady, Allyson L.
collection PubMed
description Short-term and long-term science plans were developed as part of the strategic planning process used by the Biologic Analog Science Associated with Lava Terrains (BASALT) science team to conduct two Mars-simulation missions investigating basalt habitability at terrestrial volcanic analog sites in 2016. A multidisciplinary team of scientists generated and codified a range of scientific hypotheses distilled into a Science Traceability Matrix (STM) that defined the set of objectives pursued in a series of extravehicular activity (EVA) campaigns performed across multiple field deployments. This STM was used to guide the pre-deployment selection of sampling stations within the selected Mars analog sites on the Earth based on precursor site information such as multispectral imagery. It also informed selection of hand-held instruments and observational data to collect during EVA to aid sample selection through latency-impacted interaction with an Earth-based Science Support Team. A significant portion of the pre-deployment strategic planning activities were devoted to station selection, ultimately the locations used for sample collection and EVA planning. During development of the EVAs, the BASALT science team identified lessons learned that could be used to inform future missions and analog activities, including the critical need for high-resolution precursor imagery that would enable the selection of stations that could meet the scientific objectives outlined in the STM.
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spelling pubmed-64422412019-04-01 Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars Brady, Allyson L. Kobs Nawotniak, Shannon E. Hughes, Scott S. Payler, Samuel J. Stevens, Adam H. Cockell, Charles S. Elphic, Richard C. Sehlke, Alexander Haberle, Christopher W. Slater, Greg F. Lim, Darlene S.S. Astrobiology Research Articles Short-term and long-term science plans were developed as part of the strategic planning process used by the Biologic Analog Science Associated with Lava Terrains (BASALT) science team to conduct two Mars-simulation missions investigating basalt habitability at terrestrial volcanic analog sites in 2016. A multidisciplinary team of scientists generated and codified a range of scientific hypotheses distilled into a Science Traceability Matrix (STM) that defined the set of objectives pursued in a series of extravehicular activity (EVA) campaigns performed across multiple field deployments. This STM was used to guide the pre-deployment selection of sampling stations within the selected Mars analog sites on the Earth based on precursor site information such as multispectral imagery. It also informed selection of hand-held instruments and observational data to collect during EVA to aid sample selection through latency-impacted interaction with an Earth-based Science Support Team. A significant portion of the pre-deployment strategic planning activities were devoted to station selection, ultimately the locations used for sample collection and EVA planning. During development of the EVAs, the BASALT science team identified lessons learned that could be used to inform future missions and analog activities, including the critical need for high-resolution precursor imagery that would enable the selection of stations that could meet the scientific objectives outlined in the STM. Mary Ann Liebert, Inc., publishers 2019-03-01 2019-03-06 /pmc/articles/PMC6442241/ /pubmed/30840500 http://dx.doi.org/10.1089/ast.2018.1850 Text en © A.L. Brady et al., 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research Articles
Brady, Allyson L.
Kobs Nawotniak, Shannon E.
Hughes, Scott S.
Payler, Samuel J.
Stevens, Adam H.
Cockell, Charles S.
Elphic, Richard C.
Sehlke, Alexander
Haberle, Christopher W.
Slater, Greg F.
Lim, Darlene S.S.
Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars
title Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars
title_full Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars
title_fullStr Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars
title_full_unstemmed Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars
title_short Strategic Planning Insights for Future Science-Driven Extravehicular Activity on Mars
title_sort strategic planning insights for future science-driven extravehicular activity on mars
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442241/
https://www.ncbi.nlm.nih.gov/pubmed/30840500
http://dx.doi.org/10.1089/ast.2018.1850
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