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

Autor:	Brady AL; 1 School of Geography and Earth Sciences, McMaster University, Hamilton, Canada., Kobs Nawotniak SE; 2 Department of Geosciences, Idaho State University, Pocatello, Idaho., Hughes SS; 2 Department of Geosciences, Idaho State University, Pocatello, Idaho., Payler SJ; 3 UK Centre for Astrobiology, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom., Stevens AH; 3 UK Centre for Astrobiology, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom., Cockell CS; 3 UK Centre for Astrobiology, School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom., Elphic RC; 4 NASA Ames Research Center, Moffett Field, California., Sehlke A; 4 NASA Ames Research Center, Moffett Field, California., Haberle CW; 5 School of Earth and Space Exploration, Arizona State University, Tempe, Arizona., Slater GF; 1 School of Geography and Earth Sciences, McMaster University, Hamilton, Canada., Lim DSS; 4 NASA Ames Research Center, Moffett Field, California.; 6 Bay Area Environmental Research Institute (BAERI), NASA Research Park, Moffett Field, California.
Jazyk:	angličtina
Zdroj:	Astrobiology [Astrobiology] 2019 Mar; Vol. 19 (3), pp. 347-368.
DOI:	10.1089/ast.2018.1850
Abstrakt:	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.
Databáze:	MEDLINE
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