Abstract: Prospectivity mapping for porphyry Mo deposits remains challenging where ancillary data are limited. Using the Sadaigoumen area as a case study, this study integrates GF-5B hyperspectral data, DEM-derived information, and geological data to extract three evidence layers: white mica absorption depth, lineament density, and distance to intrusions. An ore genesis-constrained fuzzy logic model was constructed and evaluated using white mica absorption-center wavelengths, weight-sensitivity analysis, and success-rate curves. The results show that white mica absorption centers in the Sadaigoumen and Nanguan areas are mainly concentrated at 2200-2210 nm, consistent with Al-rich sericite alteration, whereas the Xiaobazi area shows a weaker mineralization signature. The equal-weight model achieves an AUC of 0.985, and the highest 8.49% prospectivity zone encompasses the entire known mining area. Among the predicted targets, Nanguan has the highest priority score of 76.95 and represents the most favorable exploration target, followed by the Sadaigoumen mining area with a score of 60.56. The western periphery of Sadaigoumen also shows further exploration potential. White mica absorption depth effectively characterizes alteration intensity, whereas absorption-center wavelength provides an independent spectral constraint on potential mineralization centers. These results demonstrate that multisource evidence layers can effectively identify favorable sites where alteration, structures, and intrusions are spatially coupled in porphyry Mo systems.