Mapping alteration zones in the Southern section of Yulong copper belt, Tibet using multi-source remote sensing data

Methods for extracting mineralized alteration information using remote sensing images have recently become both efficient and cost-effective. Technology involving the extraction of based on multi-spectral data has been widely practiced effectively verified. In recent years, research fine mineral methods hyperspectral also rapidly developing. The Yulong copper belt is a porphyry located in China with high prospects mineralization. However, most previous studies focused northern section belt, limited exploration southern section. this study, was extracted from Landsat-8 OLI, ASTER, ZY1-02D, prospecting potential area evaluated. Principal component analysis used to extract iron oxide hydroxyl data, addition Al propylitic alterations ASTER data. Considering challenge too many pseudo-anomalies traditional methods, mixture-tuned matched filtering (MTMF) method more accurately alterations. Regarding minimum noise fraction pure pixel index algorithms were white mica carbonatite endmembers. MTMF mapping, which took advantage sub-pixel abundance mapping finely divide into five classes. results multi-source then compared analyzed avoid occasional single-image results, confirmed superiority methods. Combined field verification, mineralization coincided spatial location Secuo, Mamupu, Jicuo deposits, accuracy extraction. study application resource exploration. important reference significance further geological belt.