That was huge!

Hi Luca, if you send me a DM I can give you the contacts of the PI of the project and more info

We describe the problem and then chronicle how evidence-based decisions were made to handle it. We think that sharing the lesson in the risk management of a potential geo-disaster in a new narrative form is relevant to the scientific community facing similar issues.

Based on DEM of difference maps, new insight into the behaviour of the #catchment emerged - A photo of the present - assessing #sediment dynamics, how much material could be stored in the channel and the expected damage to the built environment should another event occur

Starting in 1789 "This paper tells a story [...] large-scale active #landslides with relevant associated risk are like “chronic patients”. The description of past events and the history of how the risk was managed are crucial elements representing their “medical records”

Key findings include:
- Significant influence of cliff height on erosion rates.
- Use of UAV and geomechanical surveys to analyze morphological characteristics.
- Application of Random Forest and eXtreme Gradient Boosting algorithms for precise erosion prediction.

#Cliff

Video here https://www.altoadige.it/video/longiar%C3%B9-ecco-l-enorme-colata-di-fango-e-detriti-vista-dall-alto-1.3813088

By introducing the concreteness of uncertainty, the design of countermeasure works for landslide risk mitigation becomes an iterative process with explicit levels of reliability associated with their economic and environmental impacts, crucial to inform #decision makers. (5/5)

Instead, it fosters a continuous cycle of improvement and adaptation, reflecting the dynamic interactions between #landscape, #hazard, and human interventions. Following this approach, #uncertainty becomes an opportunity rather than a weakness. (4/5)