The landslide dataset of LuoLong County includes the research area、river、roads、twi、dem、fault、landuse、lithology、ndvi、rain、python code and Figures 1 to 8.

In this reseach, we selected Luolong County in Tibet (with an elevation ranging from 3,153 to 5,476 meters) as a case study, combining traditional statistical models (IOE models) with machine learning models to optimize non-landslide samples using a coupled approach, thereby assessing landslide susceptibility in alpine environments. First, through human-computer interactive interpretation, we developed the most comprehensive landslide remnant database to date for Luolong County in Tibet, comprising 2,517 landslide remnant data points. Second, we conducted an in-depth analysis of the spatial distribution pattern of landslide susceptibility in Luolong County and identified the key controlling factors influencing landslides. Third, we developed a coupled model optimized with negative samples, which demonstrated exceptional accuracy, precision, and performance in assessing landslide susceptibility in alpine regions. This reseach aims to elucidate the intrinsic factors driving landslide development in Luolong County and to provide a robust scientific foundation for future research on the mechanisms of geological disasters in alpine environments.