Accuracy Improvement of Different Landslide Susceptibility Evaluation Models through K-Means Clustering: A Case Study on China’s Funing County

Table 1

Source and scale of causal factors.

Factors	Sources of data	Type of data or resolution
Elevation	ASTGTM V003 30 m from NASA (https://www.earthdata.nasa.gov)	Raster (30 m)
Rainfall	China Meteorological Data Network (monthly rainfall data from Funing station of 2000–2022 https://data.cma.cn)	Vector data (points)
Distance to faults, roads, and rivers	National Geomatics Center of China (https://ngcc.sbsm.gov.cn)	Vector data
Normalized difference vegetation index (NDVI)	Landsat 8 operational land image (https://www.gscloud.cn/sources/accessdata/411?pid=1)	Raster (30 m)
Lithology	China Geological Archive (https://www.ngac.org.cn/DataSpecial/geomap.html)	Vector data (scale of 1:200,000)
Land use/land cover	Global land cover data (https://globeland30.org/)	Raster (30 m)