Toad dress the instability of geothermal detection using single phase thermal infrared remote sensing technology, this paper proposes a geothermal anomaly detection method based on multi- temporal thermal infrared remote sensing geothermal units.Methods: First, the temperature anomaly region was extracted from the global threshold and geothermal unit block thresholdbased on the geothermal inversion information of Landsat- 8 remote sensing image data. Subsequently, the areas of geothermal anomaly were detected through the principal component analysis of the abnormal ground temperature in winter from 2017 to 2021. Finally, a comprehensive analysis was conducted to delineate the geothermal anomaly range by combining these with the composite information of fault structure, DEM, and land cover. Results: A geothermal anomaly detection method based on multi- temporal Landsat- 8 satellite images was proposed to delimit 10 geothermal targets in the research area of Tangyin Fault Depression (Anyang segment). The results are compared with the geothermal locations obtained from shallow water temperature logging data in the field. The two methods have a high consistency in delineating geothermal anomaly areas, thus verifying the reliability of the method proposed.Conclusion:The experiment shows that compared to single- phase thermal infrared remote sensing, the proposed method is better for geothermal anomaly detection as it can eliminate the instabilities incurred in the former by integrating multi- temporal information. This is conducive to improving the accuracy and reliability of geothermal anomaly extraction by thermal infrared remote sensing technology.