The freezing of the lake is one of the sensitive factors of global climate change, which affects regional and global climate. There are many lakes in the Qinghai-Tibet Plateau, however, the freeze-thawing ground monitoring data is very seriously lacking. The microwave has the characteristics of water phase sensitivity, high temporal resolution and long historical data, which are of great value for the monitoring of long-term lake ice phenology. However, the passive microwave has a low spatial resolution, and the brightness temperature of the lake has the challenge of positioning accuracy. The paper obtained the orbital brightness temperature data of AMSR-E/2 from the Aqua and Gcom-W1 satellite, and constructed the method of threshold freeze-thawing, which were based on the orbital brightness temperature data. These two methods were tested in different regions and sizes of lakes in the Qinghai-Tibet Plateau (Lake Qinghai, Siling Co, Lake Hala and Lake Aqikekule).The results showed that the maximum error of the freeze-up end date and the break-up start date were less than 3 days in comparison with the ground observation of Lake Qinghai, and compared with the results of the non-cloud optical remote sensing test, the parameters of the freeze-thawing parameters of the four lakes were 2-4 days. The study suggests that based on the brightness temperature data of passive microwave orbit, it is possible to achieve the acquisition of freeze-thawing information of sub-pixel large and medium-sized lakes in the Qinghai-Tibet Plateau, and using historical satellite data can provide an important reference for the monitoring of lake ice.