Due to the increasing frequency of natural disasters like floods and landslides, the active remote sensing technique LiDAR has become a topic of great interest to the Provincial Government of Styria, Federal Republic of Austria. In an on?going project from 2008 to 2012 high?resolution 3D airborne LiDAR data of the Province of Styria, an area about 16,000 km in south eastern Austria, were collected with a vertical accuracy of 15 cm and a positional accuracy of 40 cm. These data were processed to create Digital Terrain Models (DTM) and Digital Surface Models (DSM) at 1 m resolution. High resolution DTMs can be used in different geo?related applications like geomorphological mapping or natural hazard mapping. Because of their high degree of accuracy, DTMs depict various natural and anthropogenic terrain features such as erosion scarps, landslides, old creeks, topographic edges, as well as walking paths and roads. Additionally LiDAR data allows the detection and outlining of these different geomorphological and anthropogenic features within a GIS environment, geoprocessing and analysing techniques, mathematical, statistical, and image processing methods, and the scripting language Python. As a result complex workflows and new geoprocessing tools can be implemented in the standard ArcGIS workspace and are provided as easy?to?use toolbox contents. The landslide phenomena take centre stage of the research work of the author. Therefore the main focus is targeted on downslope?directed sliding movements out of soils and bedrock with different velocities. In this master?s thesis a semi?automatic ArcGIS landslide mapping toolbox using high?resolution LiDAR data in the rock masses of the Eastern Alps is presented. This toolbox is based on analysing and modeling different land surface parameters such as slope, curvature or roughness. The ArcGIS Landslide Mapping Tool points out endangered regions and shows the quantity of landslides in a specific area.