No abstract

Western Altun in Xinjiang is an important area, where lithium (Li)‐bearing pegmatites have been found in recent years. However, the complex terrain and harsh environment of western Altun exacerbates in prospecting for Li‐bearing pegmatites. Therefore, remote‐sensing techniques can be an effective means for prospecting Li‐bearing pegmatites. In this study, the fault information and lithologyical information in the region were obtained using the median‐resolution remote‐sensing image Landsat‐8, the radar image Sentinel‐1 and hyperspectral data GF‐5. Using Landsat‐8 data, the hydroxyl alteration information closely related to pegmatite in the region was extracted by principal component analysis, pseudo‐anomaly processing and other methods. The high spatial resolution remote‐sensing data WorldView‐2 and WorldView‐3 short‐wave infrared images were used and analyzed by principal component analysis (PCA), the band ratio method and multi‐class machine learning (ML), combined with conventional thresholds specified the algorithms used to automatically extract Li‐bearing pegmatite information. Finally, the Li‐bearing pegmatite exploration area was determined, based on a comprehensive analysis of the faults, hydroxyl alteration lithology and Li‐bearing pegmatite information. Field investigations have verified that the distribution of pegmatites in the central part of the study area is consistent with that of Li‐bearing pegmatites extracted in this study. This study provides a new technique for prospecting Li‐bearing pegmatites, which shows that remote‐sensing technology possesses great potential for identifying lithium‐bearing pegmatites, especially in areas that are not readily accessible.