2014
DOI: 10.1007/978-3-642-12233-0_15
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Low Cost 3D Early Warning System for Alpine Instable Slopes: The Aggenalm Landslide Monitoring System

Abstract: In context of global climate change and the continuous extension of settlement areas in the Alps, especially due to tourism, an increasing conflict can be observed between land use and natural hazard prevention. This also includes deep‐seated landslides, which can cause considerable damage to settlements and infrastructure when they occur and even endanger lives. The hazard potential of slow deep‐seated landslides has often been underestimated up till now. For economic reasons, such potentially dangerous insta… Show more

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Cited by 5 publications
(2 citation statements)
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“…62 A better understanding of the triggering forces and the kinematics of the landslide movements are the sine qua non for understanding the mechanism of landslide failure. 65 This vital linkage can only be realized using the multi-sensor integration and integrated analysis techniques. 66 Some deformation monitoring systems have been developed based on these approaches.…”
Section: Multi-sourced Data Integrationmentioning
confidence: 99%
“…62 A better understanding of the triggering forces and the kinematics of the landslide movements are the sine qua non for understanding the mechanism of landslide failure. 65 This vital linkage can only be realized using the multi-sensor integration and integrated analysis techniques. 66 Some deformation monitoring systems have been developed based on these approaches.…”
Section: Multi-sourced Data Integrationmentioning
confidence: 99%
“…In order to observe the movement of slopes and crevices, representative points are often located in the affected area to determine the movement of the entire domain. These points are often equipped with sensors such as extensometers (Malet et al, 2002, Leinauer et al, 2020, interferometry (Delacourt et al, 2007), time domain reflectometry (Thuro et al, 2014) or GNNS sensors (Squarzoni et al, 2005). Alternatively, the points are signaled with targets, which can then be measured in with sensors like total stations (Raffl and Wunderlich, 2020).…”
Section: Introductionmentioning
confidence: 99%