Scholarlink

<p>Granitic pegmatites are a primary source of lithium (Li), a critical material in low-carbon technology. Advances in hyperspectral imaging and reflectance spectroscopy have facilitated Li mineral mapping and exploration across scales using satellite, airborne, drone, and ground platforms. This paper proposes a new method for distinguishing Li-mica-dominant pegmatite from mica-dominant pegmatite and assessing Li content in pegmatite using short-wave infrared (SWIR) spectroscopy, geochemical analysis, and hyperspectral imaging in the Boam deposit, Uljin, South Korea. By analyzing Al–OH absorption wavelength positions and depths, we differentiated muscovite- and lepidolite-dominant pegmatites and assessed Li grades. The Al–OH maximum absorption wavelength in Uljin pegmatite samples ranged 2194–2209&#xa0;nm. The optimal threshold for Al–OH absorption depth was 0.42 in SWIR spectral analysis and 0.35 in field hyperspectral images for distinguishing lepidolite-dominant pegmatite from muscovite-dominant pegmatite. A positive correlation between Al–OH absorption depth and Li concentration was observed. Major and trace element analyses revealed that Al–OH absorption depth was influenced by Si + Li + Al concentrations in lepidolite and muscovite. These findings demonstrate that hyperspectral imaging can estimate Li abundance in pegmatites. This method offers a promising tool for enhancing Li exploration efficiency in large areas and improving mining operations in open-pit mines.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

SWIR Hyperspectral Reflectance Spectroscopy for Lithium Exploration in Pegmatites from Boam Deposit Area in Uljin, South Korea

  • 期刊论文

  • 发表日期：

    2026年7月30日

查看全文
  • Young-Sun Son,
  • Il-Hwan Oh,
  • Sang-Gun No,
  • Kwang-Eun Kim,
  • Chul-Ho Heo,
  • Jong-Kyu Park,
  • Seong-Jun Cho

摘要

Granitic pegmatites are a primary source of lithium (Li), a critical material in low-carbon technology. Advances in hyperspectral imaging and reflectance spectroscopy have facilitated Li mineral mapping and exploration across scales using satellite, airborne, drone, and ground platforms. This paper proposes a new method for distinguishing Li-mica-dominant pegmatite from mica-dominant pegmatite and assessing Li content in pegmatite using short-wave infrared (SWIR) spectroscopy, geochemical analysis, and hyperspectral imaging in the Boam deposit, Uljin, South Korea. By analyzing Al–OH absorption wavelength positions and depths, we differentiated muscovite- and lepidolite-dominant pegmatites and assessed Li grades. The Al–OH maximum absorption wavelength in Uljin pegmatite samples ranged 2194–2209 nm. The optimal threshold for Al–OH absorption depth was 0.42 in SWIR spectral analysis and 0.35 in field hyperspectral images for distinguishing lepidolite-dominant pegmatite from muscovite-dominant pegmatite. A positive correlation between Al–OH absorption depth and Li concentration was observed. Major and trace element analyses revealed that Al–OH absorption depth was influenced by Si + Li + Al concentrations in lepidolite and muscovite. These findings demonstrate that hyperspectral imaging can estimate Li abundance in pegmatites. This method offers a promising tool for enhancing Li exploration efficiency in large areas and improving mining operations in open-pit mines.