Fluorite is a crucial mineral that has garnered substantial attention within the latest round of strategic undertakings for breakthrough mineral exploration at the national scale. Probing into effective approaches for extracting multi-source remote sensing data and predicting fluorite mineralization based on multifarious information holds paramount significance. This study employs the large-scale vein-type Daxigou fluorite deposit in the southern Great Xing’an Range of NE China as a case study. First, the geological structure was interpreted using SPOT-5 high-resolution images, and the stratigraphic lithology was effectively interpreted using the minimum noise separation method. Principal component analysis was employed to extract information regarding hydroxyl and iron alteration in the study area from Landsat-9 and ASTER remote sensing data. Similarly, silicon alteration information was extracted based on the numerical relationship between ASTER SiO? emissivity spectra and chemical composition. Through meticulous inspection and comparative analysis of alteration anomalies associated with known mineral deposits, it was ascertained that both hydroxyl and silicification alteration anomalies exhibit a pronounced correlation with fluorite mineralization. Furthermore, overlapping regions of these anomalies extracted from various remote sensing datasets demonstrate enhanced indicators of mineralization potential. Given that vein-type fluorite deposits are not selective for the surrounding rock and exhibit distinct structural, ore-controlling, and alteration development characteristics, a GIS platform was employed to simultaneously consider these two factors and superimpose the anomaly information extracted based on the three remote sensing data for comprehensive prediction. The results demonstrate that the delineated metallogenic prospecting area exhibits a high degree of consistency with the known mineralized zone, and two new prospecting target areas have been predicted in regions beyond the mining area. This study offers valuable guidance for subsequent peripheral prospecting in this area and has the potential to inform and advance the remote sensing prospecting prediction of vein-type fluorite deposits in other regions.