《Table 2 Overview of factors used for landslide susceptibility mapping》

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《GIS-based landslide susceptibility mapping using numerical risk factor bivariate model and its ensemble with linear multivariate regression and boosted regression tree algorithms》

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After detailed surveys of 1:100，000-scale geological maps，satellite images and 1:40，000-scale aerial photographs and field survey data，the geological map of the study area was prepared（Figure 3i）.Table 1 describes the lithology units.ETM+2002 satellite data obtained from the Soil Conservation Section of the Agricultural and Natural Resources Research Centre of Isfahan Province were used in the software ENVI4.7 to produce a fault map of the Gorganroud watershed（Figure 3j）.Distance to fault was calculated using distance tools in ArcGIS.After extracting the faults，their maps were prepared in five classes in ArcGIS10.5.Landsat 8 image（Path 162/Row 34）was used to prepare land use（Figure 3k）and NDVI（Normalized difference vegetation index）（Figure 3l） and the maps of the study area in ENVI4.7.Supervised classification（maximum likelihood）was used to prepare an LU/LC map.A total of 645ground control points were used for validation using Kappa index.The Kappa coefficient for the prepared map was 0.955，which indicates high accuracy.