🌍 Jr. Research Associate at Fondazione CMCC for AcquaGuard and Myriad-EU projects
In our latest study we estimated the annual frequency of impacts, revealing a gradual increase across all scenarios: SLR drives the rising trend, while precipitation influences seasonal variability.
📌 doi.org/10.1016/j.sc...
In our latest study we estimated the annual frequency of impacts, revealing a gradual increase across all scenarios: SLR drives the rising trend, while precipitation influences seasonal variability.
📌 doi.org/10.1016/j.sc...
🌍 www.italy-croatia.eu/web/acquaguard
🌍 www.italy-croatia.eu/web/acquaguard
In our latest publication we tested three Machine Learning tools to estimate daily #risk in coastal areas and identify climate hazards triggering coastal risks.
📌 doi.org/10.1016/j.ij...
In our latest publication we tested three Machine Learning tools to estimate daily #risk in coastal areas and identify climate hazards triggering coastal risks.
📌 doi.org/10.1016/j.ij...
📌 doi.org/10.3390/jmse...
📌 doi.org/10.3390/jmse...
In this publication we focused on the assessment of coastal erosion #risk in the Apulian shoreline also considering both climate change scenarios and the potential risk reduction effects induced by #NBS
📌 doi.org/10.1016/j.en...
In this publication we focused on the assessment of coastal erosion #risk in the Apulian shoreline also considering both climate change scenarios and the potential risk reduction effects induced by #NBS
📌 doi.org/10.1016/j.en...
📌 doi.org/10.1016/j.en...
📌 doi.org/10.1016/j.en...
#satelliteimages #machinelearning #GIS
In this paper, we present findings and insights on shoreline change detection along the Venice littoral, utilizing remote sensing analysis combined with machine learning techniques
📌 doi.org/10.1016/j.sc...
#satelliteimages #machinelearning #GIS
In this paper, we present findings and insights on shoreline change detection along the Venice littoral, utilizing remote sensing analysis combined with machine learning techniques
📌 doi.org/10.1016/j.sc...