The global transition towards a clean energy future fundamentally relies on a secure and sustainable supply of critical minerals, including lithium (Li). as a key component of energy storage technologies, Li plays an essential role in the development of low-carbon systems. Therefore, advancing our understanding of the petrogenesis and emplacement mechanisms of Li-bearing pegmatites, in relation to their host rocks, is crucial to guiding future Li exploration. This study aims to move beyond traditional whole-rock compositional approaches by integrating various techniques spanning the macro- (eg hyperspectral analysis) to the microscopic scales (eg automated mineralogy). We focus on pegmatite-hosted rocks from the Pilgangoora Li-deposit (Pilbara Region, Western australia), using a 1 km drill core data set provided by the Geological Survey of Western australia. This deposit represents a key example of mineralised pegmatites in australia that displays significant petrographic and structural variations with depth. For this purpose, Hylogger3™ hyperspectral reflectance data (VNIR-SWIR-TIR - visible near- infrared; shortwave-infrared; thermal infrared) were used to map pegmatites, their host rocks, and the respective contacts across the entire core, focusing on the relative abundance of spodumene, mica, silica, plagioclase, and pyroxene minerals. Based on hyperspectral data, 112 representative samples were selected for modal analysis using Scanning Electron Microscopy TESCaN Integrated Mineral analyzer (SEM-TIMa). Detailed petrographical and textural analyses revealed compositional zonings (eg normal, reverse, patchy) in several pathfinder minerals, including spodumene, mica, apatite, and Ta-Nb oxides. HyLogger data were calibrated against SEM-TIMa results using partial least square regression to obtain semi-quantitative mineralogy estimates at 1 cm spatial resolution along the drill core. Preliminary results deliver an error of prediction (Root Mean Square Error (RMSE)) of 8-14 per cent for major mineral phases, including quartz, albite and spodumene. This work highlights that characterising phase size, shape, zoning, and intergrowths between pegmatite and host rocks provides a powerful strategy for reconstructing P-T emplacement conditions and distinguishing between non-prospective and prospective pegmatite occurrences.