ABSTRACT
Landslides cause fatalities and economic damage all over the world. Installing early warning systems is one option to reduce severe consequences. However, early warning of landslides is a challenging topic because the possibilities of prediction vary significantly. A distinction is not only limited to different types of landslides it also comprises the differentiation between reactivated and new movements. The aim of the project is to design and implement a prototype of an integrative early warning system for known and reactivated landslides, so that information on possible future, possibly catastrophic failures can be collected in advance. The landslide under investigation shows a flowing movement after strong summer rainfalls down to depths of 8.5 m. Sliding is initiated in spring after snow melting and reaches down to depths of 15 m. deep insights into the moisture variation were hindered by effects caused by the high portion of clay in the landslide material and due to vegetation effects.
