2023, Contributo in atti di convegno, ENG
Marilena Cozzolino, Vincenzo Gentile, Cecilia Giorgi, Paolo Mauriello1
The research project aims to uncover the unknown territory and trace its origins. It's conducted by the ISPC CNR to study the historical and archaeological context of Borbona (Rieti, Italy) with the collaboration of the Department of Agricultural Environmental and Food Sciences (University of Molise) for the geophysical prospections. Despite the limited historical and archaeological studies on Borbona, unexpected discoveries emerged during the research. Through various activities, including surveys and analysis of findings, the project has identified ancient habitation areas and significant Roman architectural fragments. The research seeks to transmit the history and culture of Borbona to future generations, fostering a sense of belonging. Protecting historical heritage and areas at archaeological risk, enhancing and promoting existing cultural assets, represent fundamental actions to increase the country's attractiveness in the present and preserve its identity in the future.
2021, Presentazione, ENG
Massimiliano Alvioli, Michele Santangelo, Federica Fiorucci, Mauro Cardinali, Ivan Marchesini, Paola Reichenbach and Mauro Rossi
Rockfalls are one harmful kind of landslide, due to their rapidity, destructive potential and high probability of occurrence on steep topographies, often found along transportation corridors. Various factors can trigger rockfalls, including intense rainfall and seismic activity, and diverse phenomena affect their occurrence, like rock weathering and fracturing. Existing approaches for the assessment of rockfall susceptibility range from purely phenomenological to purely deterministic, physically based methods. A common requirement for many approaches is the need to locate the potential point locations of source areas, often located uphill on cliffs. Application of a physically based model, in particular, allows the calculation of material runout stemming from rockfalls originating from such point locations. In this work, we propose a method for the location of rockfall source points, on a digital elevation model, suitable for large areas. We deem the method as data-driven, because it relies on expert delineation of potential source areas from Google Earth images in few sample locations, representative of the study area at large. We measure the slope distribution of grid cells encompassed by expert-mapped source areas, and generalize the distribution of sources to the whole of the study area. We apply the method to a corridor of about 17,000 km in length and varying width, containing the entire Italian railway network. The map of source areas represents the main input for a physically based simulation of rockfall trajectories with the model STONE, and likely of other similar physically based or phenomenological models for rockfall runout assessment.
2021, Articolo in rivista, ENG
Cacciari I.; Pocobelli G.F.
On the basis of the research activity carried out as part of the Archeo 3.0 project 'Integration of key enabling technologies for the efficiency of preventive archaeological excavations', the authors explore the feasibility and limits of the automated approach for the recognition of archaeological marks. This approach is mainly motivated by the relevance that aerial photographs play in the reconstruction of ancient topography of human settlements. For this aim, a collection of historical aerial photographs of both the city and the necropolis of Vulci has been considered. These photographs, in colour and B/W, have been previously used in a PhD thesis in Ancient topography in which the traditional methodology (photointerpretation and cartographic restitution) has been fully exploited. In this work, a systematic study is presented in order to compare the results obtained with Machine Learning techniques and traditional ones. This comparison allows us to discuss the strengths and limits of both methodologies.