### Data Processing  
In studying the spatial dimension of pre-earthquake thermal infrared anomalies, [PERSON] et al. [9] found that the most significant thermal anomaly of the 25 April 2015 \(M\)s8.1 earthquake occurred about 100 km west of the epicenter, and the most significant thermal anomaly of the 12 May 2015 \(M\)s7.5 earthquake occurred about 200 km east of the epicenter. [PERSON] et al. [2]used the wavelet variation method to study the Tibet Shigatse 26 February 2010 \(M\)s5.0 earthquake, the Tibet Nierong 4 March 2010 \(M\)s5.7 and \(M\)s5.5 earthquakes, and the Yushu 14 April 2010 \(M\)s7.1 earthquake. After observing the spatial and temporal evolution maps of the seismic thermal anomalies, we found that the anomalies were mainly distributed near the epicenter. Most of the anomaly distribution was in the spatial range of 5\({}^{\circ}\)\(\times\) 5\({}^{\circ}\). The range of effects of different earthquake magnitudes was also provided by the \"SERIES OF EARTHQUAKE CASES IN CHINA\": \(M\)s \(\geq\) 7.0 earthquake, within 500 km; 6.0 \(\leq\)\(M\)s \(<\) 7.0 earthquake, within 300 km; 5.0 \(\leq\)\(M\)s \(<\) 6.0 earthquake, within 200 km [26; 27; 28]. In order to study the temporal dimension of the pre-earthquake thermal infrared anomalies, [PERSON] et al. [29] chose a 5\({}^{\circ}\)\(\times\) 5\({}^{\circ}\) area centered on the epicenter as the study area after considering that the thermal anomalies usually reflected an extensive range and took two months as the study time dimension. It was found that the pre-earthquake high OLR value anomalies appeared within one month in the study of the Zhongba \(M\)s6.8 earthquake on 25 August 2008 and the Yutian \(M\)s7.3 earthquake on 21 March 2008. In another paper, [PERSON] et al. [30] found a thermal anomaly in the fault zone near the epicenter of the 25 April 2015 \(M\)s8.1 earthquake in Nepal six months before its occurrence. [PERSON] et al. [31] used the RST algorithm to study the 12 May 2008 Wenchuan \(M\)s8.0 earthquake, which showed that thermal anomalies began to accumulate spatially three months before the quake, with anomalies of different intensities and distribution ranges appearing multiple times over time. Based on existing studies, the following could be concluded: the distribution of anomaly ranges extracted by the thermal infrared anomaly extraction algorithm was irregular but generally distributed near the epicenter; and pre-earthquake thermal anomalies occurred irregularly, usually within six months before the earthquake. The examples of earthquakes selected for study in this paper were the Yangbi \(M\)s6.4 earthquake of 21 May 2021 and the Luding \(M\)s6.8 earthquake of 5 September 2022. The epicenter of the Yangbi earthquake was located near the southwest edge of the Sichuan-Yunnan rhombic block, which is a channel for material extrusion from the Qinghai-Tibet Plateau to the southeast and belongs to the area with the strongest extrusion deformation. Within 100 km of the epicenter, there were five Holocene active fractures: the Honghe Fault, the Lijiang-Xiaojinhe Fault, the Heqing-Eryuan Fault, the Chenghai-Binchuan Fault, and the Longban-Qiaohou Fault. The Yangbi earthquake was the result of a shallow fault slip, and the regional geologic structure is consistent with the spatial characteristics of dextral strike-slip movement [32]. The epicenter of the Luding earthquake was located near the Moxi Fault in the southeast section of the Xianshuihe Fault Zone on the southeastern edge of the Tibetan Plateau. The Xianshuihe Fault Zone has a total length of about 350 km and is a large sinistral strike-slip fault zone with strong activity, high seismic development, and geological disaster risk [33]. Table 1 shows the information for the two studied earthquakes. Due to the moderate magnitude of the earthquake, the experimental area selected was a 5\({}^{\circ}\)\(\times\) 5\({}^{\circ}\) area close to the center. In this paper, we mainly wanted to study close-proximity anomalies, so we chose the 30 days before the earthquake as the prediction days.