Alpine remote sensing of climate‐induced natural hazards
AlpSenseBench is a one-year benchmark preliminary study (2018) in 4 alpine regions (Bavaria, Tyrol, Land Salzburg and South Tyrol) on highly available early warning systems for natural hazards in particularly climate change-sensitive alpine regions based on different measurement systems. AlpSense makes an important contribution to risk reduction and, due to its preventive character, to cost reduction of climate-induced natural hazards. AlpSenseBench aims at the anticipation and real-time warning of critical objects in the infrastructure environment.
Natural hazard hotspots
AlpSense uses excellently instrumented test areas for the calibration of new technologies and monitoring methods in order to ensure the best possible transferability to other high mountain regions. With its innovative, multi-scale monitoring concept, AlpSense provides the basis for alpine-wide, systematic natural hazard analyses and subsequently for risk management and decision support systems for the public and private sectors.
Highly available measurement technology
In AlpSenseBench, repeated drone flights are carried out in the test areas Wetterstein/Zugspitze (Bavaria/Tyrol), Hohe Tauern/Kitzsteinhorn (Salzburg) and Ötztal/Vernagtferner with Schnalstal (South Tyrol/Tyrol) in the visible and infrared range for the detection of natural hazard hotspots. Neuralgic objects are instrumented with wireless transmitting measuring units and the kinematic and geophysical signals are analyzed for their early warning effect.
Visualization and Availability
AlpSenseBench develops a highly available Near Real-Time WebGIS, a 3D visualization software for the analysis and web-based presentation of multi-temporal 3D data sets and the development, adaptation and user training of data exchange formats and processes for the optimal information transfer with the participating users.
We have intensive contacts with all stakeholders involved (cableways, government, municipalities and authorities, energy providers and Alpine associations) and want to strengthen the integrative communication with users and potential future users, promote the overarching interaction with state governments and municipalities and advance the development of a highly available 3D decision support system for natural hazards and their interactions with infrastructure and endangered objects.
Long-term deliverables and user products
- 3D visualisation of potential natural hazards for real-time warning of critical objects in the infrastructure environment
- Estimation of snow and ice melting for flood prediction for the Hydrographic Service of Tyrol, the Flood Warning Service of Bavaria and for hydropower plants
- Visualized natural hazard situation for hiking and tourism development in the high Alps
- Visualized natural hazard situation for the hazard situation for mountain rescue and in higher-level hazard/catastrophe situations
- Visualised natural hazard situation for the long-term development of the overarching infrastructure/settlement development
AlpSense lighthouse project in EUSALP „future alpine society"
AlpSense aims to develop a sustainable and efficient strategy for dynamic danger situations caused by alpine natural hazards, to promote a transnational strategy for alpine safety, and to make natural hazards assessable and communicable through 3D visualisation and decision support systems for companies, authorities, municipalities, state governments and alpine associations/mountain rescue.
Participants of the Engineering Faculty BGU
Geology and geodesy work closely together to achieve the project objectives under the direction of the Chair of Slope Movement.
- Associate Professorship of Landslides (http://www.landslides.geo.tum.de)
- Chair of Geodesy (https://www.geo.bgu.tum.de)
- Department of Photogrammetry and Remote Sensing (https://www.pf.bgu.tum.de)
AlpSenseBench is funded by the Bavarian State Ministry of Economic Affairs, Energy and Technology https://www.stmwi.bayern.de/
Prof. Dr. rer. nat. Michael Krautblatter
Technical University Munich
Associate Professorship of Landslides
Tel.: +49 (89) 289 – 25866