Remote sensing and GIS for natural hazard assessment
Spatial data are perfectly suited to studying, identifying, characterizing and monitoring natural hazards. Remote sensing and GIS are becoming mainstream technology, being applied in many organizations and work processes with a geographical orientation. This course concentrates on hazard-related information extraction from remote sensing image data and on GIS-based data-driven modelling for hazard susceptibility mapping.
Remote sensing images and map data are used for expert-based visual interpretation of landforms, for identifying and characterizing different natural hazards and their controlling factors, and for image-based change detection. Digital image processing techniques as well as more advanced remote sensing approaches (e.g. radar, laser scanning) will also be considered. Digital terrain modelling provides terrain parameters to support hazard identification and to serve as input for landslide and erosion modelling.
Towards the end of the course, small teams of participants will carry out a remote sensing-based hazard identification or a hazard susceptibility mapping project assignment