Big geochemical data through remote sensing for dynamic mineral resource monitoring in tailing storage facilities

Big geochemical data through remote sensing for dynamic mineral resource monitoring in tailing storage facilities

Evolution in geoscientific data provides the mineral industry with new opportunities. A direction of geochemical data generation evolution is towards big data to meet the demands of data-driven usage scenarios that rely on data velocity. This direction is more significant where traditional geochemic...

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Bibliographic Details
Main Authors: Steven E. Zhang, Glen T. Nwaila, Shenelle Agard, Julie E. Bourdeau, Emmanuel John M. Carranza, Yousef Ghorbani
Format: Article
Language:English
Published: KeAi Communications Co. Ltd. 2023-12-01
Series:Artificial Intelligence in Geosciences
Subjects:
Big geochemical data
Mine waste valorisation
Tailings storage facilities
Sentinel-2
Remote sensing
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S266654412300028X

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http://www.sciencedirect.com/science/article/pii/S266654412300028X

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