Abstract: The Quanji Massif is located in the northeastern part of the Qinghai-Tibet Plateau and possesses significant potential for sedimentary metamorphic iron ore mineralization. However,due to its harsh natural conditions,geological research and metallogenic prediction in this region have not been thoroughly conducted,thereby constraining regional mineral exploration breakthroughs. Through systematically analyzing the regional geological framework of the study area,a mineral prospecting prediction model for sedimentary metamorphic iron deposits in the Quanji Massif was established. Based on a mineral exploration prediction model, the study utilized high-resolution hyperspectral data from GaoFen-5 and applied a combination of MNF (Minimal Noise Fraction),PPI ( Pixel Purity Index),and SAM ( Spectral Angle Mapper) methods to extract five indicator minerals from the study area:hematite,goethite,hornblende,muscovite,and chlorite. The study also integrates magnetic anomaly data and geological mapping data to establish a mineralization prediction dataset. Finally, the Fuzzy Analytic Hierarchy Process was applied to assign weights to multi-source metallogenic prediction data. The metallogenic favorability degree was calculated through the Index Overlay method,based on which five prospecting target areas were delineated and subjected to field verification. The results of the study indicate that the method of extracting indicator minerals based on hyperspectral data can provide crucial data support for the mineralization prediction of sedimentary metamorphic iron deposits in the study area. The delineated prospecting target areas provide crucial guidance for the exploration of sedimentary metamorphic iron deposits in this region. 

Key words: mineralization prediction with comprehensive information,sediment metamorphic iron deposit,hyperspectral data,indicator minerals,Quanji Massif