Detecting mineralization via white mica spectral footprints: From field-based sampling to satellite hyperspectral remote sensing

作者：Changjiang Yuan, Jie Zhao, Zhibo Liu, Xuefei Liu, Jie Tang · 发表于：Ore Geology Reviews · 年份：2025 · DOI：10.1016/j.oregeorev.2025.106588 · 被引用次数：11 · 研究领域：Geochemistry and Geologic Mapping、Remote-Sensing Image Classification、Mineral Processing and Grinding

• Both SWIR spectra and GF-5 hyperspectral data can obtain the alteration information. • The spectral feature parametrization enables the estimation for GF-5 imagery. • A spectral feature-based exploration indication model is established. • Hyperspectral remote sensing technology and SWIR spectroscopy are combined. The utilization of shortwave infrared (SWIR) spectroscopy serves as a potent technique in mineral identification and hydrothermal alteration mapping, and spectral characteristics of some altered minerals have been indicators for targeting porphyry-epithermal deposits. Its application relies on acquiring ground/lab spectral data from surface and/or drill hole samples, with potential satellite remote sensing applications remaining more effort. In this study, the Duolong mineral district served as the test area for alteration mapping, spectral characterization, and mineral exploration. A spectral feature parameterization method and an exploration indication model were proposed based on the SWIR spectra and Gaofen-5 (GF-5) hyperspectral images. The results showed that the hydrothermally altered minerals in the Duolong mineral district are mainly composed of white mica, kaolinite, and chlorite, with minor amounts of sulphate and carbonate. The minerals exhibited characteristic alteration zoning patterns commonly observed in porphyry Cu systems, and there is a clear overlap between the zones. SWIR analysis conducted in the Gaerqin deposit, specifically revealed the spati...