In order to explore the spatial distribution of geothermal resources and guide the exploration and development of geothermal resources in Nimu area,Tibet,the Landsat 5TM data of January 21 and February 22,2010 were selected to carry out geothermal inversion based on Mono- window Algorithm.The relationship among surface temperature,existing geothermal anomaly points,structure and human activities was analyzed by using ArcGIS software,and the potential geothermal anomaly in this area was predicted.The results show that the surface temperatures are -21.75～40.65 ℃ and -18.95～46.45 ℃,respectively.Combined with the regional characteristics,the inversion results are practical and reliable.According to the results of surface temperature inversion based on remote sensing data,it is found that the temperature anomaly area in the study area is more than 10K higher than the background area,and there are hidden faults and abnormal geothermal activity information in the study area.Thus,21 potential geothermal anomaly areas are classified.It is concluded that Nimu area,located at the intersection of Yadong—Gulu and Yarlung Zangbo suture zone,has obvious geothermal anomaly characteristics and broad exploration and development prospects.Surface temperature inversion based on Mono-window Algorithm can effectively extract geothermal anomaly information,help predict geothermal anomaly areas with development prospects,and further identify and delineate target areas with exploration significance.