1,2,3,3,4,5,5,5,5,- 1Italian National Research Council (CNR), Institute of Environmental Geology and Geoengineering (IGAG), 20131 Milan, Italy
- 2Po River District Basin Authority, Strada Garibaldi 75, 43121 Parma, Italy
- 3Department of Geosciences, University of Padova, Padova, Italy
- 4Department of Biological, Geological, and Environmental Sciences, University of Bologna, Bologna, Italy
- 5Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Modena, Italy
- 6Italian Space Agency (ASI), Roma, Italy
In recent years, technological advances in the use of geospatial data (such as satellite images, anthropogenic and/or environmental raster and vector open data, etc.) for hydrogeological risk assessment, combined with advanced analysis techniques (e.g., machine learning), have become increasingly valuable. These technologies can be utilized by local and national authorities for land planning and emergency management to better understand the dynamics associated with climate change. This understanding can help guide actions aimed at safeguarding not only environmental resources but also socio-economic assets and citizens’ lives.
In pursuit of this goal, a partnership has been established between the Po River Basin District Authority (AdBPo), the Italian Space Agency (ASI), and academic and research institutions such as the University of Bologna (UNIBO), the University of Modena and Reggio Emilia (UNIMORE), the University of Padova (UNIPD), and the Institute of Environmental Geology and Geoengineering of the National Research Council of Italy (CNR-IGAG). The aim is to implement a downstream service for monitoring landscape evolution related to fluvial systems (geomorphological classification), and slope dynamics (including landslides and rock glaciers) and to quantitatively evaluate the exposed assets.
The PARACELSO project (Predictive Analysis, MonitoRing, and mAnagement of Climate change Effects Leveraging Satellite Observations) aims to develop a modular and interoperable GIS cloud-based platform that supports the analysis of natural phenomena (such as fluvial hydrodynamics, landslides, and rock glaciers) using multi-sensor satellite data imagery provided by:
- DIAS platforms deployed by the Copernicus Programme (e.g., Sentinel 1-2),
- ASI missions such as CosmoSkyMed, PRISMA, and SAOCOM.
Furthermore, a methodology integrating Earth Observation and geospatial data analysis, to evaluate the exposed assets, has been implemented using open-source libraries.
To facilitate this, within the Big Data HPC MarghERita infrastructure— a supercomputing system named in honor of the scientist Margherita Hack and provided by the Emilia-Romagna Region — computational resources are employed for the high-performance processing, analysis, and storage of large volumes of acquired satellite imagery, as well as additional geospatial datasets. The platform executes the project-developed algorithms to investigate the temporal evolution of fluvial and slope systems. Furthermore, the infrastructure supports the access, visualization, and sharing of the processed and analyzed data.
The project has received funding from ASI through the “I4DP_PA (Innovation for Downstream Preparation for Public Administrations)” Call for Ideas.
How to cite: Hammouti, M., Zazzeri, M., Sterlacchini, S., Correa Da Mota, T., Mazzanti, M., Pancaldi, M., Agostini, M., Bizzi, S., Cecchetto, M., Berti, M., Brardinoni, F., Corsini, A., Tondo, M., Critelli, V., Mulas, M., Candela, L., D'Amato, L., and Simonelli, T.: Cloud-Based GIS Platform for the Management of Hydrogeological Risks in the Po Basin, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-19618, https://doi.org/10.5194/egusphere-egu26-19618, 2026.
