Remote sensing identification of hydrothermal alteration minerals in the Duobuza porphyry copper mining area in Tibet using WorldView-3 and GF-5 data: The impact of spatial and spectral resolution

作者：Qi Chen, Dayu Cai, Jisheng Xia, Min Zeng, Haiying Yang, Ruisi Zhang, Yang He, Xiaoxiao Zhang, Yi Chen, Xinhui Xu, Zhifang Zhao · 发表于：Ore Geology Reviews · 年份：2025 · DOI：10.1016/j.oregeorev.2025.106573 · 被引用次数：15 · 研究领域：Geochemistry and Geologic Mapping、Remote-Sensing Image Classification

• The PCA method is the optimal method of three alteration mineral identification methods for WorldView-3 data. • The SAM method is more accurate than SID method in identifying alteration minerals for GF-5 data. • Combination of WorldView-3 and GF-5 data is recommended for optimal hydrothermal alteration mapping. The identification of hydrothermal alteration minerals using remote sensing technology is an important hot spot in mineral exploration. However, the influence of spatial resolution and spectral resolution on the identification of hydrothermal alteration minerals is an important scientific issue worth studying. Therefore, WorldView-3 data with high spatial resolution and GF-5 data with high spectral resolution were selected to carry out a hydrothermal alteration minerals identification comparative study in the Duobuza porphyry copper mining area in Tibet. Principal component analysis (PCA), spectral angle mapper (SAM) and mixed tuned matched filter (MTMF) methods were employed for WorldView-3 data, while SAM and spectral information divergence (SID) methods were used for GF-5 data. The results of comparative analysis based on field verification data show that: (1) For WorldView-3 data, the accuracy of hydrothermal alteration mineral identification using SAM, PCA, and MTMF methods were 65.18%, 87.38%, and 78.63%, respectively, with the PCA method achieving the highest accuracy; (2) For GF-5 data, the accuracy of hydrothermal alteration mineral identification using SAM ...