Research AImon5.0

The Earth's surface is constantly changing. Climate change is altering environmental conditions - for example, more intense and prolonged precipitation is causing more frequent landslides or rockfalls. Such events do not only affect the local population but also central and critical infrastructure. A key tool in integrated risk management is the availability of 4D geo-information. The information is collected through continuous monitoring in near real time. The current state of the art is fixed and autonomous permanent laser scanner (PLS) systems. PLS systems provide huge amounts of data (billions of measurements per day). In order to make PLS systems and 4D (3D + time) analysis methods available for operational use and to limit the big 4D data to the relevant information for decision makers, a new interface between the information needs of the application and the 4D acquisition and analysis is required. For the first time, this will make it possible to use state-of-the-art PLS systems in operational risk monitoring and, with the help of artificial intelligence methods, to find and evaluate specific relevant events (e.g. activation of a slope area) in the huge amounts of data, to follow them in continuous monitoring and to automatically identify new events.

In AImon5.0, our open-source frameworks HELIOS++ and py4dgeo will be combined to enhance current approaches for the automatic extraction and visualization of change from 4D PLS data.