RESEARCH FIELD MONITORING

Surface and subsurface conditions respond to climatic changes with considerable lag times. Long-term monitoring approaches are therefore essential to accurately identify the consequences of recent warming and to calibrate predictive models of future change. Our research field MONITORING focuses on satellite/drone technologies, borehole measurements and geophysical methods, and thus facilitates data-based adaptation measures.

 

PROJECT RESERVOIR

RESERVOIR

Using InSAR, horizontal and vertical (east/west) displacements of measurement points can be recorded from space with an accuracy of ± 1-2 mm. The data is recorded regularly and fully automated by state-of-the-art SAR satellites. The Großarler Bergbahnen Ges. mbH & Co KG want to use this technology to improve local reservoir monitoring. The main goals of the project are long-term improvements in reservoir monitoring, a better understanding of the complexity of slope movement patterns and an improved level of site safety for the authorities.

 
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PROJECT UAS Underground

UAS Underground

Thousands of underground structures were built by miners during the course of centuries and in modern times. Many of these sites are little known and practically impossible to be inspected by humans for various reasons. The Goal of UAS Underground is to develop a service based on UAS for inspections and 3D-modelling of such inaccessible underground structures.

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PROJECT AlpSenseRely

AlpSenseBench

AlpSenseRely is a three-year reliability and potential study in four alpine regions (Bavaria, Tyrol, Salzburg, South Tyrol). It investigates high-availability remote sensing systems for early-warning of natural hazards in particularly climate-sensitive alpine regions. Due to its preventive character AlpSenseBech contributes significantly not only towards risk reduction, but also towards cost reduction of climate change related natural hazards. AlpSenseRely aims at anticipation and real-time warning of critical objects and processes in the impact environment of infrastructure. The three-year AlpSenseRely study systematically evaluates the scientific/applied reliability of early warning systems.

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PROJECT DefDrone_3D

Tren a las Nubes

Unmanned Aerial System (UAS, drones) have evolved rapidly for numerous areas of application in recent years. Particularly the use of latest sensor techniques open up intriguing possibilities in the field of deformation analysis. The aim of DefDrone3D is to develop a drone-based monitoring system to semiautomatically detect and analyse deformations.

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PROJECT AlpSenseBench

AlpSenseBench

AlpSenseBench is a one-year benchmark pilot study in four alpine regions (Bavaria, Tyrol, Salzburg, South Tyrol). It investigates high-availability remote sensing systems for early-warning of natural hazards in particularly climate-sensitive alpine regions. Due to its preventive character AlpSenseBech contributes significantly not only towards risk reduction, but also towards cost reduction of climate change related natural hazards. AlpSenseBench aims at the anticipation of natural hazards and the real-time warning of critical objects around infrastructures.

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PROJECT P-SWARM

Tren a las Nubes

P-SWARM is a project aimed at generating photogrammetric data more efficiently by employing multiple drones flying in swarm mode instead of just one. We are currently developing a swarm box, comprising five UASs, for a smart and fast swarm data generating process. It allows for three different acquisition modes and real swarm communication and is adjusted to a DEM in order to ensure a precise flight, even in high alpine and other challenging environments.

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PROJECT SeisRockHT

SeisRockHT detects and analyzes seismic signals caused by high-alpine rockfall. For this purpose, seismic monitoring networks, designed for continuous, all year operation, are installed at the Sonnblick and at the Open Air Lab Kitzsteinhorn. At both sites, seismic monitoring is integrated into long-term monitoring infrastructure that delivers valuable complementary data.

PROJECT MoistureMonERT

Changing water contents of ground moraines and till significantly affect their mechanical properties and stability. Data on pore water changes are therefore of particular importance to tunneling projects and engineering geology. The main goal of MoistureMonERT is the development of a 2D ERT monitoring (Electrical Resistivity Tomography) for pore water that goes beyond 1D spot measurements.