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Abstract: Thermal infrared (TIR) remote sensing is an important technique in the exploration of geothermal resources. In this study, a geothermal survey is conducted in Tengchong area of Yunnan province in China using TIR data from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor. Based on radiometric calibration, atmospheric correction and emissivity calculation, a simple but efficient single channel algorithm with acceptable precision is applied to retrieve the land surface temperature (LST) of study area. The LST anomalous areas with temperature about 4–10K higher than background area are discovered. Four geothermal areas are identified with the discussion of geothermal mechanism and the further analysis of regional geologic structure. The research reveals that the distribution of geothermal areas is consistent with the fault development in study area. Magmatism contributes abundant thermal source to study area and the faults provide thermal channels for heat transfer from interior earth to land surface and facilitate the present of geothermal anomalies. Finally, we conclude that TIR remote sensing is a cost-effective technique to detect LST anomalies. Combining TIR remote sensing with geological analysis and the understanding of geothermal mechanism is an accurate and efficient approach to geothermal area detection. [Copyright &y& Elsevier]

[Display omitted] • Ore deposits in the Gejiu superlarge tin polymetallic district, China, were studied. • The mineralization of chalcopyrite was simulated using the finite-element method. • The hydrothermal flow is one of the key factors affecting the mineralization. • The pore fluid flow is driven by the temperature gradient. • Favorable metallogenic areas are located at intersections between structural units. The Gejiu superlarge tin polymetallic mining area in Yunnan hosts the largest tin-copper polymetallic ore field worldwide. The output of tin and copper provides power for the development of the country. Therefore, the study of mineralization is very important. But the geological structure is diverse, and the mineralization of different geological structures is different. In this study, the geological characteristics, tectonics, mineralogy, and geochemistry of these typical magmatic hydrothermal deposits were analyzed, various geological structures are studied, and the finite-element method was used to simulate the mineralization of chalcopyrite in the study area. Finally, the results are validated against the instance area. The numerical results show that the hydrothermal flow is the main factor controlling the mineralization. The pore fluid flow is driven by the temperature gradient. Favorable metallogenic areas are located in faults, between horizontal strata, and at intersections of faults. In the future, by simulating the metallogenic region and studying the metallogenic structure, the locations of ore bodies can be predicted. Our research confirms the results of the coupled model in the field of emerging computational geoscience and provides insights into the mineralization process. [ABSTRACT FROM AUTHOR]