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DOI	10.1016/j.rse.2020.112109
	Inferring sandstone grain size using spectral datasets: An example from the Bresnahan Group, Western Australia
	Uren A.L.; Laukamp C.; George A.D.; Occhipinti S.A.; Aitken A.R.A.
发表日期	2021
ISSN	00344257
卷号	252
英文摘要	Remotely sensed hyperspectral datasets were integrated with petrographic data to map the distribution of sedimentary rocks in order to infer grain size variations within the siliciclastic, Paleoproterozoic Bresnahan Group in Western Australia. Finer sandstones have greater compositional variation compared to coarser sandstones, with higher modal proportions of mudstone intraclasts, K-feldspar, and muscovite laths, and lower modal quartz. Partial Least Squares modelling indicates a link between visible to shortwave infrared spectral data collected on samples and their average grain size. Specific electronic absorptions are important for defining this relationship, particularly in the blue-green visible spectra, wavelengths related to water or hydroxyl bonds, along with certain wavelengths in the shortwave infrared (SWIR) spectra. The results from field samples were compared to airborne hyperspectral datasets which showed broad scale regional variations in composition could be discerned from processed white mica abundance maps and images that use spectral bands 2350 nm and 2200 nm. The remotely sensed compositional variations are relatable to changes in sandstone grain size. Diagenetic alteration and surface weathering may influence the absorption spectra, although the effect of the latter can be reduced by using processed white mica abundance maps. Overall, the results show that airborne hyperspectral datasets, particularly the SWIR part of the spectra, can be useful to remotely map spatial compositional variations associated with sandstone grain size. This shows the method can be used to remotely map siliciclastic successions in other sedimentary basins by aiding recognition of grain size trends and significant stratal surfaces associated with changes in composition. However, the important wavelengths may differ due to other controls on sandstone composition such as uplift history of the source region, changes in sediment dispersal, and transport mechanisms. © 2020 Elsevier Inc.
英文关键词	Hyperspectral; Paleoproterozoic Bresnahan group; Petrography; Sandstone grain size; Siliciclastic
语种	英语
scopus关键词	Feldspar; Grain size and shape; Infrared radiation; Least squares approximations; Mica; Remote sensing; Sandstone; Sedimentology; Compositional variation; Diagenetic alteration; Electronic absorption; Grain size variation; Partial least square (PLS); Sandstone composition; Short wave infrared; Transport mechanism; Weathering; absorption spectrum; airborne survey; data set; grain size; Proterozoic; remote sensing; sandstone; sedimentary rock; spectral analysis; Australia; Western Australia
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179085
作者单位	School of Earth Sciences, University of Western Australia, 35 Stirling Highway, Perth, WA 6009, Australia; Halliburton, 97 Jubilee Avenue, Milton Park, AbingdonOxfordshire OX14 4RW, United Kingdom; Halliburton, Australian Resources Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), 26 Dick Perry Avenue, Kensington, WA 6151, Australia; Present address: Australian Resources Research Centre, Commonwealth Scientific and Industrial Research Organisation (CSIRO), 26 Dick Perry Avenue, Kensington, WA 6151, Australia
推荐引用方式 GB/T 7714	Uren A.L.,Laukamp C.,George A.D.,et al. Inferring sandstone grain size using spectral datasets: An example from the Bresnahan Group, Western Australia[J],2021,252.
APA	Uren A.L.,Laukamp C.,George A.D.,Occhipinti S.A.,&Aitken A.R.A..(2021).Inferring sandstone grain size using spectral datasets: An example from the Bresnahan Group, Western Australia.Remote Sensing of Environment,252.
MLA	Uren A.L.,et al."Inferring sandstone grain size using spectral datasets: An example from the Bresnahan Group, Western Australia".Remote Sensing of Environment 252(2021).