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    多源光学遥感数据伟晶岩型锂矿找矿应用对比研究

    A comparative study of the applicability of multi-source optical remote sensing data in exploring pegmatite lithium deposits

    • 摘要: 锂作为一种关键的战略性金属矿产,成为当前找矿勘查的热点,其中伟晶岩型锂矿是锂资源的重点勘查对象之一。遥感技术在锂矿找矿勘查前期发挥了重要作用,过去常以高空间分辨率和高光谱卫星数据作为数据源,近年来高空间、高光谱分辨率的航空遥感数据投入应用,进一步丰富了遥感数据源。然而这些数据在伟晶岩型锂矿勘查中的适用性缺乏系统的研究与对比,导致遥感技术在直接探测伟晶岩型锂矿和其他含锂矿物方面的可行性存在争议。针对上述问题,该文以阿勒泰地区青河县库尔齐木克锂矿为例,采用亚米级高空间分辨率数据、卫星/航空高光谱数据,开展了多源遥感探测对比研究。研究结果表明: 亚米级高空间分辨率数据对识别伟晶岩脉具有重要作用,可揭示伟晶岩脉群的空间展布特征,但难以区分含锂或不含锂伟晶岩脉; 卫星高光谱数据由于其空间分辨率较低,对规模较大的含锂脉体识别具有较好的辅助作用,一般情况下难以直接探测锂辉石信息; 航空高光谱数据兼具高空间和高光谱分辨率的特征,在伟晶岩型锂矿找矿应用中具有显著技术优势,当其中心波长、光谱分辨率和采样间隔等指标满足一定要求时,可实现锂辉石的准确识别。研究结果为今后利用光学遥感数据开展伟晶岩型锂矿找矿勘查应用提供了参考依据。

       

      Abstract: Lithium, a strategic and critical metallic mineral, is currently a prominent focus of mineral exploration. Among all lithium resources, the pegmatite lithium deposits have emerged as a significant exploration target. Remote sensing technology has played a significant role in the preliminary stages of lithium exploration, which primarily relied on high-resolution and hyperspectral satellite data. In recent years, the application of airborne hyperspectral remote sensing technology, which combines high spatial and spectral resolution, has further enriched the remote sensing data sources. However, the applicability of these multi-source optical remote sensing data in the exploration of pegmatite lithium deposits remains to be systematically and comparatively analyzed. Consequently, there exists a continued debate concerning the feasibility of remote sensing technology in directly detecting lithium-bearing pegmatite veins or lithium minerals. Hence, focusing on the Kuerqimuke lithium deposit in Qinghe County, Altay region, this study comparatively analyzed the sub-meter high-resolution data, hyperspectral satellite data, and airborne hyperspectral data in multi-source remote sensing detection. The results indicate that the sub-meter high-resolution data played a critical role in revealing the spatial distribution of pegmatite veins but failed to distinguish lithium-bearing veins from non-lithium-bearing veins. The hyperspectral satellite data served as a useful supplementary tool for identifying large-scale lithium-bearing veins; however, they generally struggled to directly reveal spodumene information due to the low spatial resolution. In contrast, the airborne hyperspectral data, characterized by high spatial and spectral resolution, demonstrated significant technical advantages in exploring pegmatite lithium deposits. They enable accurate identification of spodumenes under the condition that parameters such as the central wavelength, spectral resolution, and sampling interval meet specific requirements. Overall, this study provides a practical reference for applying optical remote sensing data in exploring pegmatite lithium deposits.

       

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