Over the past three decades, thermal anomalies from satellite infrared data have been widely discussed and associated with earthquakes. Besides infrared satellite data, the recent use of passive microwave satellite data has emerged as an important dataset to detect the potential thermal anomalies prior to earthquakes in all weather conditions due to its capability to monitor the earth in cloudy and foggy conditions and has been applied to the numerous strong earthquake events around the world. On September 5, 2022, an $\text{M}{w}$ 6.6 earthquake occurred in Luding County, nearby Mt. Gongga, China, with heavy cloud coverage over the epicenter and its surrounding region before and after the event. In this study, the microwave brightness temperature (MWBT) and clear-sky outgoing longwave radiation (ClrOLR) data were used together to identify the potential seismic thermal anomalies. Prominent anomalous signals were detected around the epicenter, appearing within two months preceding the earthquake. Further analysis was conducted through the combination of other parameters from satellite and ground observations, including precipitation (PR), cloud fraction (CloudFrc), and soil moisture (SM), in order to verify and better understand the detected anomalous signals. Our results suggest that the combination of MWBT and ClrOLR can be used as an effective tool to detect thermal anomalies associated with earthquake events in cloudy conditions over the epicenter.