## 2 Materials
### Landslide Influencing Factors  
The selection of influencing factors is a key step in landslide susceptibility modeling [30]. The formation mechanism of a landslide is complicated, and its occurrence is the result of numerous factors [36; 50]. Factors affecting the emergence of a landslide vary with different study areas. Therefore, at present, there is no definite rule for the selection of landslide influencing factors [33; 51]. According to previous studies [5; 44; 45; 47; 52] and data availability, the landslide influencing factors in the study area are divided into four categories, and 20 factors were selected as the initial factors. These include topographic factors (altitude, slope, aspect, plan curvature, profile curvature, degree of relief, and topographic wetness index (TWI)), geological factors (lithology, seismic intensity, distance from fault zones, and stratigraphy), ecological factors (distance from main rivers, distance from streams, annual rainfall, normalized difference vegetation index (NDVI), land cover, and soil erosion intensity), and factors related to human engineering activities (distance from roads, residential kernel density, and distance from hydropower stations). Land cover data originates from GlobeLand30 ([[http://www.globallandcover.com/](http://www.globallandcover.com/)]([http://www.globallandcover.com/](http://www.globallandcover.com/)), accessed on 21 April 2021), and the NDVI data originates from Geospatial Data Cloud ([[http://www.gscloud.cn/](http://www.gscloud.cn/)]([http://www.gscloud.cn/](http://www.gscloud.cn/)), accessed on 7 August 2021). Topographic factors including altitude, plan curvature, profile curvature, slope, aspect, degree of relief, and TWI, were derived from a digital elevation model (DEM) with a 30 m resolution. All other factor data including the DEM were provided by the Sichuan Province Bureau of Surveying, Mapping, and Geoinformation, China. In this study, ArcGIS (version 10.7.1, ESRI, Redlands, CA, USA) software was used to overlay all factor layers with the landslide inventory map and then calculate the distance from roads, rivers, faults, and hydropower stations to each grid. Subsequently, all continuous factors were reclassified according to previous studies and prior knowledge. The equal interval method was used to classify distance factors (such as rivers and roads, and this method was also applied to annual rainfall due to the availability of data). Specific factors, including plan curvature, profile curvature, and aspect, were classified based on the experience provided by previous studies [9; 30; 53]. Other factors were classified using the Jenks natural breaks method. Table 1 shows the specific classification of each factor, and Figure 2 shows the reclassified factor layers. \begin{table}
\begin{tabular}{c c c c c} \hline
**Category Attribution** & **Factor** & **Data Type** & \begin{tabular}{c} **Reclassification** \\ **Method** \\ \end{tabular}  & \multicolumn{2}{c}{**Class**} \\ \hline  & Altitude (m) & Continuous & Equal interval & 1. 734–1000; 2. 1000–1400; 3. 1400–1800; 4. 1800–2200; 5. 2200–2600; 6. \(>\)2600 1. 0–12.58; 2. 12.58–27.06; 3. 27.06–36.79; 4. 36.79–44.57; 5. 44.57–52.98; 6. \(>\)52.98 1. Flat; 2. North; N. Northeast; 4. East; 5. Southeast; 6. South; 7. Southwest; 8. West; 9. Northwest 1. \(<\)\(-\)0.001(Concave); 2. \(-\)0.001–0.001(Plan); 3. \(>\)0.001(Concave); 1. \(<\)\(-\)0.001(Concave); 2. \(-\)0.001–0.001(Plan); 3. \(>\)0.001(Concave); 1. \(<\)\(-\)0.001(Concave); 2. \(-\)0.001-0.001(Plan); 3. \(>\)0.001(Concave); 3. Degree of relief (m) & Continuous & Jenks natural breaks & 1. 0–8.92; 2. 8.92–16.52, 3. 16.52–22.97; 4. 22.97–30.94; 5. 30.94–43.98 1. 2.16-4.51; 2. 4.51–5.67; 3. 5. \(>\)9.54 7.18–9.54; 5. \(>\)9.54 \\  & Topographic Wetness & Continuous & Jenks natural breaks & 1. 1.0–8.94; 5. 3. 5.67–7.18; 4. \\  & Index (TWI) & & & 7.18–9.54; 5. \(>\)9.54 \\ \hline  & Lithology & Categorical & \multicolumn{2}{c}{} \\  & Seismic intensity & Categorical & \multicolumn{2}{c}{} \\  & Distance from fault & & 1. 0–500; 2.