QUANTITATIVE PREDICTIONS OF REE ABUNDANCES IN CARBONATITES USING REFLECTANCE SPECTROSCOPY

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00025798%3A_____%2F20%3A00000440" target="_blank" >RIV/00025798:_____/20:00000440 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IGARSS39084.2020.9323540" target="_blank" >http://dx.doi.org/10.1109/IGARSS39084.2020.9323540</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IGARSS39084.2020.9323540" target="_blank" >10.1109/IGARSS39084.2020.9323540</a>

Result language
angličtina
Original language name
QUANTITATIVE PREDICTIONS OF REE ABUNDANCES IN CARBONATITES USING REFLECTANCE SPECTROSCOPY
Original language description
Rare earth elements (REE) became a strategic raw material in the 21st century and carbonatite-related deposits frequently carry potentially economic levels of these critical metals. To determine major and trace elements (including REE content) conventional analysis of bulk rock geochemical samples are conducted by ICP-OES and ICP-MS. However, these analytic methods are costly and time-consuming. In contrast, modern Remote Sensing (RS) – e.g. proximal remote sensing, mineral or imaging spectroscopy - has become a novel tool for detecting and quantifying geological materials as they offer an efficient, non-destructive and cost-effective way not only to identify different minerals and/or chemical elements but also model their abundances. In this study, we investigated whether multivariate regression modelling (PLSR) allows quantitative prediction of bulk REE concentrations in natural carbonatite samples collected in India (Samalpatti, Sevattur, Amba Dongar), USA (Iron Hill, Lemitar Hills) and East Africa (Tororo, Sukulu, Oldoinyo Dili, Panda Hill).
Czech name
—
Czech description
—

Project
<a href="/en/project/GX19-29124X" target="_blank" >GX19-29124X: EVOLUTION AND POST-EMPLACEMENT HISTORY OF CARBONATITES: IMPLICATIONS FOR THE MOBILITY AND CONCENTRATION OF CRITICAL METALS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International Geoscience and Remote Sensing Symposium (IGARSS)
ISBN
978-172816374-1
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
4041-4044
Publisher name
Geoscience and Remote Sensing Society
Place of publication
Waikoloa, Hawaii
Event location
Waikoloa, Hawaii
Event date
Sep 26, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000664335303249

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