Landslides (translational and rotational failures, debris flows, rock avalanches, rock falls, etc.) number among the most abundant natural hazards in Lower Austria. Resulting from sporadic phases of activity it is essential to generate specific long-term measurement series, enabling the analysis of changes in surface movements as well as underground in connection with triggering factors. Therefore, in 2014 the Project “NoeSLIDE – Monitoring diverse types of landslides in Lower Austria” was initiated. The project runs until 2017, with a follow-up funding by future projects for the monitoring sites.

Project description

• multiple sites for various types of mass movements: Gresten (Salcher landslide), Ofenloch (rockfall), Hofermühle (debrisflow)
• “classical” applications: inclinometer, piezometer, TDR probes, weather station, total station, GNSS
• novel, innovative applications in continuous monitoring:
  o automatic measurements: terrestrial laser scanning, ERT and wireless sensor network
  o regular monitoring via unmanned aerial vehicle (UAV)
• selected data is available in real time (permanent power and broadband internet connection)
• automatization of data management and data visualisation
• integration of real time data in WebGIS
  o online presentation of changes over time
  o simple web-based analyses
  o distinct access authorization for different user groups
• calculation of thresholds for early warning systems

Research Aims

• implementation of long-term monitoring systems (10+ years) for continuous observation of gravitational mass movements
• testing of novel and innovative methods on multiple locations
• data availability in a WebGIS application for simple online analyses for authorized users

(Expected) results

1. continuous information about landslides and their controlling and triggering factors
2. estimate of the potential risk for population and infrastructure
3. integrative approach by including the municipalities
4. evaluation of novel monitoring methods for landslides
5. cooperation between university – country – municipality
6. web based availability of local data (e.g. weather stations)
7. WebGIS as technical support for decision makers
8. potential of implementation as an early warning system