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In this paper, multi-source remote sensing data such as GF-1, OLI and PALSAR were used to interpret the hydrologic environment and geomorphic features of the study area and analyze the surface temperature anomalies, establish translation markers, conduct temperature stratification, and conduct field verification to comprehensively judge the spatial distribution characteristics of active faults in the study area. The study shows that multi-source remote sensing data can be used to effectivelydoi:10.26549/xdchgc.v3i4.5131 fatcat:opef2bnxqzfkjngfdf3lgoqhme