Within our interdisciplinary research project MainPro, we aim to analyse potential climate change induced geohazards in the Main valley and its tributaries and develop nature-based solutions for them. This project involves a large-scale analysis of potential geohazards, their spatial distribution and other parameters that increase the risk. Results of this geospatial analysis are now available through a user-friendly and easily accessible Google Earth Engine (GEE) App.
This app allows users to access and explore a comprehensive flash flood risk map generated using advanced machine learning techniques, which helps to identify regions that may be particularly vulnerable to flash flood events. In addition, the platform offers an impervious surface map derived from multispectral satellite imagery, enabling detailed analyses of sealed and built-up surfaces. Users can also access information on long-term trends of spectral vegetation indices and land surface temperature, which support environmental monitoring and climate-related assessments.
The data visualization platform integrates these datasets produced within the project with valuable supplementary information from the 2022 German census survey, as well as additional data on land use, flood risk, and flash flood runoff pathways.
Furthermore, the platform provides the possibility to individually process, analyze, and visualize high-resolution satellite imagery from the past ten years. This allows users to conduct customized temporal analyses and gain deeper insights into environmental and landscape changes over time.
MainPro Contact at EORC: Sebastian Buchelt, Prof. Dr. Tobias Ullmann
