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The INOVMineral Project¿s Contribution to Mineral Exploration ¿ A WebGIS Integration and Visualization of Spectral and Geophysical Properties of the Aldeia LCT Pegmatite Spodumene Deposit

Title
The INOVMineral Project¿s Contribution to Mineral Exploration ¿ A WebGIS Integration and Visualization of Spectral and Geophysical Properties of the Aldeia LCT Pegmatite Spodumene Deposit
Type
Other Publications
Year
2023
Authors
Santos, D
(Author)
Other
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Almeida, CRd
(Author)
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Vasques, JT
(Author)
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Mendes, A
(Author)
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Ribeiro, R
(Author)
FCUP
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Azzalini, A
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Lia Duarte
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FCUP
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Ana Teodoro
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FCUP
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Other information
Authenticus ID: P-00Y-K06
Abstract (EN): <jats:p>Due to the energetic transition at course, new geological exploration technologies are needed to discover mineral deposits containing critical materials such as lithium (Li). The vast majority of European Li deposits are related to Li¿Cs¿Ta (LCT) pegmatites. Literature review indicates that conventional exploration campaigns are dominated by geochemical surveys and related exploration tools. However, other exploration techniques must be evaluated namely remote sensing (RS) and geophysics. This work presents the results of the INOVMINERAL4.0 project obtained through alternative approaches to traditional geochemistry that were gathered and integrated into a webGIS application. The specific objectives were to: (i) assess the potential of high-resolution elevation data; (ii) evaluate geophysical methods, particularly radiometry; (iii) establish a methodology for spectral data acquisition and build a spectral library; (iv) compare obtained spectra with Landsat 9 data for pegmatite identification; and (v) implement a user-friendly webGIS for data integration and visualization. Radiometric data acquisition using geophysical techniques effectively discriminated pegmatites from host rocks. The developed spectral library provided valuable insights for space-based exploration. Landsat 9 data accurately identified known LCT pegmatite targets, compared to Landsat 8. The user-friendly webGIS facilitated data integration, visualization, and sharing, supporting potential users in similar exploration approaches.</jats:p>
Language: English
Type (Professor's evaluation): Scientific
Documents
File name Description Size
preprints202306.1621.v1 Pre-print 1895.78 KB
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