Background Affected by four types of factors: topography, geology, hydrological environment and human activities, landslide disasters occur frequently in Chongqing, with the distribution characteristics of "many points and wide areas". The frequency of landslide disasters has caused huge casualties, property damage and ecological damage. Regional landslide susceptibility assessment is one of the effective measures for disaster prevention and control, which is of great significance to the government to carry out disaster risk management. The susceptibility evaluation was conducted at Chongqing city where landslide disaster seriously developed.

Methods Elevation, slope, aspect, lithology, distance from construction, distance from water system, rainfall, soil type, land use, distance from road and the normalized difference vegetation index(NDVI) were selected as the influencing factors affecting the development of landslides. The band set statistical tool of ArcGIS was used to test the correlation, and the factors with strong correlation were eliminated to form a landslide susceptibility evaluation index system. Based on the sample data of 8 756 historical landslide disaster sites from 2000 to 2020, with the support of remote sensing(RS) and geographic information system(GIS), the weighted information value model was used to evaluate the landslide susceptibility in the study area.

Results 1) Based on the results of relevant analysis, the elevation factor was eliminated. 2) The main factors affecting the landslide development in the study area were water system, NDVI and slope. Among which the top 5 values of weighted information were: the distance was between 200 m and 500 m from water system(0.809), the NDVI was between 8% and 38%(0.563), the slope was between 13°and 20°(0.500), the distance was between 0 m and 200 m from water system(0.429), the distance was between 500 m and 1 000 m from water system(0.428). 3) The high and relatively high susceptibility areas accounted for 17.26% and 31.82% of the study area respectively, and the spatial distribution of relatively high susceptibility areas was highly consistent with the distribution of water system.

Conclusions The research area is mainly dominated by high susceptibility area and medium susceptibility area, and the assessment accuracy of the weighted information value model is about 78.20%, which can better reflect the landslide disaster situation in Chongqing. The results provide technical reference for the prediction of landslide disaster in Chongqing and the government's disaster prevention and mitigation work.