1 School of Geography and Earth Sciences, McMaster University, Hamilton, Canada.
2 Department of Geosciences, Idaho State University, Pocatello, Idaho.
Astrobiology. 2019 Mar;19(3):347-368. doi: 10.1089/ast.2018.1850.
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.
短期和长期科学计划是作为生物类似物科学与熔岩地形(BASALT)科学团队战略规划过程的一部分制定的,目的是在 2016 年进行两次火星模拟任务,调查陆地火山类似地点的玄武岩宜居性。一个多学科科学家团队生成并编纂了一系列科学假设,这些假设被归纳为一个科学可追溯性矩阵(STM),该矩阵定义了一系列在多个野外部署中进行的一系列舱外活动(EVA)任务中追求的目标。该 STM 用于根据预选地点的多光谱图像等先遣地点信息,指导在选定的火星模拟地点内预选采样站。它还为 EVA 期间收集手持式仪器和观测数据提供了信息,以通过与基于地球的科学支持团队的延迟影响交互来帮助选择样本。部署前的战略规划活动的很大一部分都用于站点选择,最终用于样本收集和 EVA 规划的地点。在 EVA 的开发过程中,BASALT 科学团队确定了可以用于指导未来任务和类似活动的经验教训,包括对高分辨率先遣图像的迫切需求,这将能够选择可以满足 STM 中概述的科学目标的站点。