Efficient, socially acceptable and rapid methods of exploration are required to discover new deposits and enable the green energy transition. Sustainable exploration requires a combination of innovative thinking and new technologies. Hyperspectral imaging (HSI) is a rapidly developing technology and allows for fast and systematic mineral mapping, facilitating exploration of the Earth's surface at various scales on a variety of platforms. Newly available sensors allow data capture over a wide spectral range, and provide information about the abundance and spatial location of ore and pathfinder minerals in drill-core, hand samples and outcrops with mm to cm precision. Conversely, the complex geometries of the imaged surfaces affect the spectral quality and signal-to-noise ratio (SnR) of HSI data at these very narrow spatial samplings. Additionally, the complex mineral assemblages found in hydrothermally altered ore deposits can make interpretation of spectral results a challenge. In this contribution, we propose an innovative approach that integrates multiple sensors and scales of data acquisition to help disentangle complex mineralogy associated with lithium and tin mineralisation in the Uis pegmatite complex, Namibia. We train this method using hand samples and finally produce a three-dimensional (3D) point cloud for mapping lithium mineralisation in the open pit. We were able to identify and map lithium-bearing cookeite and montebrasite at outcrop scale. The accuracy of the approach was validated by drill-core data, XRD analysis and LIBS measurements. This approach facilitates efficient mapping of complex terrains, as well as important monitoring and optimisation of ore extraction. Our method can easily be adapted to other minerals relevant to the mining industry.

需要高效、社会可接受且快速的勘探方法来发现新矿床并实现绿色能源转型。可持续探索需要创新思维和新技术的结合。高光谱成像 (HSI) 是一项快速发展的技术，可以进行快速系统的矿物测绘，有助于在各种平台上以各种尺度探索地球表面。新推出的传感器允许在较宽的光谱范围内捕获数据，并以毫米到厘米的精度提供有关钻芯、手样本和露头中矿石和探路矿物的丰度和空间位置的信息。相反，成像表面的复杂几何形状会影响 HSI 数据在这些非常窄的空间采样中的光谱质量和信噪比 (SnR)。此外，在热液蚀变矿床中发现的复杂矿物组合可能使光谱结果的解释成为一项挑战。在这一贡献中，我们提出了一种创新方法，该方法集成了多个传感器和数据采集尺度，以帮助解开纳米比亚 Uis 伟晶岩复合体中与锂和锡矿化相关的复杂矿物学。我们使用手样本训练这种方法，最终生成三维 (3D) 点云，用于绘制露天矿中的锂矿化情况。我们能够在露头尺度上识别和绘制含锂的曲钙石和蒙特布拉石。钻芯数据、XRD 分析和 LIBS 测量验证了该方法的准确性。这种方法有助于复杂地形的有效映射，以及矿石开采的重要监测和优化。我们的方法可以很容易地适用于与采矿业相关的其他矿物。