vibha chauhan

The rising popularity of lithium in battery technology and renewable power sources has thus turned attention to Li-Cs-Ta pegmatites for lithium. This review focuses on a description of hyperspectral imaging (HSI) for studying lithium-repayment processes during the weathering of such pegmatites. Hyperspectral imaging has the potential to provide a non-destructive method to identify and map lithium bearing minerals with high spectral resolutions to identify the mineralogical changes and movement of elements in the weathered profile. This review describes several HSI techniques to map features of interest including SAM and machine learning based classification methods, and highlights current limitations such as spectral crowding and environmental variations in the context of lithium phase identification. Additionally, the applicability of combining HSI with geochemical assays is studied with the aim of improving lithium resource estimation. HSI result has given useful data on mobility of lithium which assists in master plan of resource extraction and replenishment and crucial in sustained mineral prospecting and exploitation.