A5010831276- Landslides and related hazards
- Flood Risk Assessment and Management
- Cryospheric studies and observations
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Soil erosion and sediment transport
- Coastal wetland ecosystem dynamics
- Medical Imaging and Pathology Studies
- Geological Modeling and Analysis
- Transportation and Mobility Innovations
- Healthcare Systems and Challenges
- Geophysical Methods and Applications
- Anomaly Detection Techniques and Applications
- Infrastructure Resilience and Vulnerability Analysis
- Geotechnical Engineering and Analysis
- Soil Geostatistics and Mapping
- Plant responses to water stress
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Urban Planning and Landscape Design
- Diverse academic and cultural studies
- Geophysical and Geoelectrical Methods
- Clinical Nutrition and Gastroenterology
- Advanced Manufacturing and Logistics Optimization
- 3D Modeling in Geospatial Applications
- Hydrology and Drought Analysis
University of Bologna
2019-2024
Research Institute for Geo-Hydrological Protection
2018-2022
National Research Council
2018-2022
In this study, a new tool for quantitative, data-driven susceptibility zoning (SZ) is presented. The SZ plugin has been implemented as QGIS to maximize its operational use within the geoscientific community. in fact commonly used open-source geographic information system. We have scripted Python, and developed it collection of functions that allow one pre-process input data, calculate susceptibility, then estimate quality classification results. can be carried out via number classifiers...
Mapping existing landslides is a fundamental prerequisite to build any reliable susceptibility model. From series of landslide presence/absence conditions and associated landscape characteristics, binary classifier learns how distinguish potentially stable unstable slopes. In data rich areas where inventories are available, addressing the collection these can already be challenging task. However, in scarce contexts, geoscientists do not get access pre-existing inventories, only solution map...
The geospatial community usually makes use of GIS environments to handle databases and pre-process their information. Actual analyses, especially data-driven ones, are performed outside platforms. This interrupts the flow information processing chain in a number I/O operations that inevitably slow down overall analytical protocols. first version SZ-plugin attempted mitigate this issue by offering modeling solution from within QGIS. However, available models essentially boiled binary...
The initial inception of the landslide susceptibility concept defined it as a static property landscape, explaining proneness certain locations to generate slope failures. Since spread data-driven probabilistic solutions though, original definition has been challenged incorporate dynamic elements that would lead occurrence probability change both in space and time. This is starting point this work, which combines traditional strengths framework together with typical early warning systems....
The initial inception of the landslide susceptibility concept defined it as a static property landscape, explaining proneness certain locations to generate slope failures. Since spread data-driven probabilistic solutions though, original definition has been challenged incorporate dynamic elements that would lead occurrence probability change both in space and time. This is starting point this work, which combines traditional strengths framework together with typical early warning systems....
Space-borne radar interferometry is a fundamental tool to detect and measure variety of ground surface deformations, either human induced or originated by natural processes. Latest development remote sensing imaging techniques the increasing number space missions, specifically designed for analyses, led new more effective approaches, commonly referred as Advanced DInSAR (A-DInSAR) Time Series Radar Interferometry (TS-InSAR). Nevertheless, even if these methods were proved be suitable study...
Abstract The Belt and Road Initiative is a collaboration project launched by the Chinese Government to connect more than 65 countries all over word developing infrastructures, facilities, support collaborations among involved Countries. Silk Disaster Risk Reduction sub-project of focused on mitigation prevention natural risks in countries. In this context, work presents method approach landslide susceptibility zoning continental scale that takes into account limitations due completeness...
Abstract. Digital Elevation Models (DEMs) play a key role in slope instability studies, ranging from landslide detection and recognition to prediction. DEMs assist these investigations by reproducing landscape morphological features deriving relevant predisposing factors, such as gradient, roughness, aspect, curvature. Additionally, are useful for delineating map units with homogeneous characteristics, Slope Units (SUs). In many cases, the selection of DEM depends on factors like...
Back-analysis is broadly used for approaching geotechnical problems when monitoring data are available and information about the soils properties of poor quality. For landslide stability assessment back-analysis calibration usually carried out by time consuming trial-and-error procedure. This paper presents a new automatic Decision Support System that supports selection soil parameters three-dimensional models landslides based on data. The method considering pool possible solutions,...
The spread of invasive alien plant species (IAPs) poses a serious threat to the biodiversity and effectiveness rivers drainage canals. Nevertheless, reasons for implications increasing presence IAPs on stability flood defences are still unclear. To point out current knowledge topic, systematic review was performed focusing three key riparian IAPs: Amorpha fruticosa, Arundo donax Reynoutria japonica. We searched articles in Scopus database, focused links between target hydrology...
Hazard identification is crucial for disaster risk reduction in areas featuring multiple co-occurring hazards and active internal external dynamic geographical processes. Coupling the elements of hazard-forming environments mechanisms inducing hazards, a novel multi-hazard integration zonation (MIZ) method has been developed which segmented function was constructed to identify dominant hazard types their boundaries region. Taking ancient Silk Road as case study, major spatial have...
This paper focuses on a GIS-based spatial analysis dealing with the Roman-Byzantine routes of central Cappadocia, Turkey. Taking into consideration various typologies settlements and their distribution within that region, we approached issue from an operational research perspective.The started meta-heuristic algorithm, based Genetic Algorithms, implemented to find ‘best’ path site Tyana (modern Kemerhisar) Colonia Acrhelais/Koloneia (today Aksaray). The algorithm was applied cost weighted...
One of the prioritized project Belt and Road Initiative is Silk Disaster Risk Reduction. The main aim to investigate natural hazards affecting Central Asia Europe in order understand their evolution support spatial planning related new infrastructures designing prevention mitigation measures. landslide susceptibility zoning a common practice for land-use environmental impact assessment. Considering as part hazard work-flow, multi-scale (multi-Tier) assessment has been carried out results are...
We present an interactive tool for susceptibility modeling in Google Earth Engine (GEE). Our requires few input data and makes use of the breadth predictors' information available GEE. In this cloud computing environment, binary classifiers typical models can be called fed with related to mapping units any natural hazards' distribution over geographic space. tested our generate estimates gully erosion occurrences a study area located Sicily (Italy). The we propose is equipped series...