Acquisition of a Field Spectroradiometer

购买现场光谱辐射计

• 批准号: 1665519
• 负责人: Nancy Glenn
• 金额: $ 7.49万
• 依托单位: Boise State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1665519&HistoricalAwards=false
• 关键词: Acquisition; Field; Spectroradiometer

This grant supports acquisition of a field portable spectroradiometer which can image sample reflected light wavelengths across a wide spectrum (350-2500 nm) and with nanometer scale spectral resolution and associated data reduction software. The spectroradiometer will support faculty and student research and research training in the Department of Geosciences at Boise State University. The spectroradiometer and associated data reduction software will be used with a range of studies addressing NSF's 10 Big Ideas, including Growing Convergent Research at NSF, Harnessing Data for 21st Century Science and Engineering, and Understanding the Rules of Life: Predicting Phenotype. The investigators are actively engaged in a university-wide Louis Stokes Alliance for Minority Participation (LSAMP) program and an NSF EPSCoR Undergraduate Research and Internships program. The researchers will use the spectroradiometer for experiential learning as part of these outreach and education efforts. This support is congruent with NSFs mission of promoting the progress of science and advancing the national health, prosperity and welfare given the societal relevance of targeted research aimed at understanding the terrestrial water cycle with implications for improved water resource management and the impact of the acquisition on training the next generation scientific workforce. Research applications include studies of inorganic and organic soil carbon and its biogeochemical cycling and post-fire redistribution of carbon in the Reynolds Creek Experimental Watershed Critical Zone Observatory site. Question to be addressed include: 1) What are the controls on the distribution and amounts of organic and inorganic soil carbon? ; and 2) How do fire severity, vegetation type, and soil texture affect the redistribution of soil nutrients and soil organic carbon? The field spectroradiometer will be used in both the field and lab settings by students and faculty associated with several NSF Division of Earth Sciences (EAR) and related program studies, including the Reynolds Creek Critical Zone Observatory (RC-CZO). The investigators and their students will correlate measurements of soil organic and inorganic carbon from laboratory-based carbon analyses with spectroscopy of soils in the lab and field settings. The statistical relationships between the carbon and inorganic carbon measurements and the soil spectra will be applied to independent soil spectra in the field and laboratory to increase the number of observations of soil carbon, while reducing cost and time associated with the assay measurements. The increased number of soil carbon observations will increase the spatial resolution and confidence of soil carbon maps as well as the understanding of the controls on soil carbon. Similarly, soil and vegetation spectra will be collected in the field to be used as endmembers with imaging spectroscopy to map the vegetation and soils of a post-fire study. This information will be used to help understand post-fire redistribution of soil nutrients and organic carbon, and what role vegetation plays in regulating the delivery of sediment across a dryland ecosystem (in which wind erosion is dominant). Additional applications include studies of land use change on vegetation-land surface-atmosphere interactions and hydrologic cycling and studies of snowpack spectral properties to better model water and energy balance. These applications are also focused on predicting spring snow melt timing and magnitude to improve water resource management. The support will also be used for spectral classification of sagebrush-steppe ecosystem vegetation-soil-water interactions to improve large scale remote sensing modality image classification algorithms.

该赠款支持购买现场便携式光谱辐射仪，该光谱仪可以对宽光谱（350-2500 nm）内的样品反射光波长进行成像，并具有纳米级光谱分辨率和相关的数据缩减软件。该光谱辐射计将支持博伊西州立大学地球科学系的教师和学生的研究和研究培训。光谱辐射计和相关数据缩减软件将用于解决 NSF 10 大理念的一系列研究，包括 NSF 的发展融合研究、利用 21 世纪科学与工程的数据以及了解生命规则：预测表型。 研究人员积极参与全校范围内的路易斯斯托克斯少数民族参与联盟 (LSAMP) 计划和 NSF EPSCoR 本科生研究和实习计划。研究人员将使用光谱辐射计进行体验式学习，作为这些外展和教育工作的一部分。鉴于旨在了解陆地水循环的有针对性的研究的社会相关性，以及对改善水资源管理的影响以及收购对培训下一代科学劳动力的影响，这种支持与国家科学基金会促进科学进步和促进国民健康、繁荣和福利的使命是一致的。研究应用包括研究雷诺兹溪实验流域关键区观测站的无机和有机土壤碳及其生物地球化学循环和火灾后碳的重新分配。 需要解决的问题包括： 1）土壤有机碳和无机碳的分布和数量如何控制？ ; 2) 火灾严重程度、植被类型和土壤质地如何影响土壤养分和土壤有机碳的重新分配？ 现场光谱辐射计将由与多个 NSF 地球科学部 (EAR) 和相关项目研究相关的学生和教职人员在现场和实验室环境中使用，包括雷诺溪临界区天文台 (RC-CZO)。 研究人员和他们的学生将把基于实验室的碳分析对土壤有机和无机碳的测量与实验室和现场环境中的土壤光谱相关联。碳和无机碳测量与土壤光谱之间的统计关系将应用于现场和实验室的独立土壤光谱，以增加土壤碳的观测数量，同时减少与测定测量相关的成本和时间。土壤碳观测数量的增加将提高土壤碳图的空间分辨率和置信度，以及对土壤碳控制的理解。同样，土壤和植被光谱将在现场收集，用作成像光谱的端元，以绘制火灾后研究的植被和土壤图。这些信息将用于帮助了解火灾后土壤养分和有机碳的重新分配，以及植被在调节旱地生态系统（其中风蚀占主导地位）沉积物输送方面发挥的作用。 其他应用包括植被-土地表面-大气相互作用和水文循环的土地利用变化研究，以及积雪光谱特性的研究，以更好地模拟水和能量平衡。这些应用程序还侧重于预测春季融雪时间和规模，以改善水资源管理。该支持还将用于山艾树草原生态系统植被-土壤-水相互作用的光谱分类，以改进大规模遥感模态图像分类算法。