Ricerca

La mia ricerca integra idrologia, geomorfologia, telerilevamento e modellistica data-driven per far progredire la valutazione della pericolosità alluvionale e il monitoraggio ambientale. L’obiettivo è sviluppare strumenti scalabili, fisicamente basati ed efficienti dal punto di vista computazionale per comprendere i processi idrologici e supportare la gestione del rischio.

Aree di Ricerca

Visione Scientifica

La ricerca collega l’idrologia basata sui processi e gli approcci data-driven, consentendo una mappatura affidabile delle inondazioni anche in bacini con scarsità di dati e non strumentati.

In questa sezione

Parte del programma di ricerca HydroLAB.

Riferimenti

Manfreda, S., J. Saavedra Navarro, C. Albertini, R. Zhuang, F. D. Pacia, S. Chaturvedi and C. Samela, Geomorphic flood index 2.0: Enhanced tools for delineating flood-prone areas in data-scarce regions., Catena, (doi: 10.1016/j.catena.2026.110242) 2026. [pdf]

Saavedra Navarro, J., R. Zhuang, C. Albertini and S. Manfreda, Mapping flood susceptibility using random forest exploiting satellite observations and geomorphic features., Science of the Total Environment, (doi: 10.1016/j.scitotenv.2025.180592) 2025. [pdf]

Albertini, C., A. Gioia, V. Iacobellis, G. P. Petropoulos and S. Manfreda, Assessing Multi-source Random Forest Classification and Robustness of Predictor Variables in Flooded Areas Mapping, Remote Sensing Applications: Society and Environment, (doi: 10.1016/j.rsase.2024.101239) 2024. [pdf]

Samela, C., R. Coluzzi, V. Imbrenda, S. Manfreda and M. Lanfredi, Satellite flood detection integrating hydrogeomorphic and spectral indices., GIScience & Remote Sensing, (doi: 10.1080/15481603.2022.2143670) 2022. [pdf]

Albertini, C., A. Gioia, V. Iacobellis, S. Manfreda, Detection of Surface Water and Floods with Multispectral Satellites. Remote Sensing, 14, 6005, (doi: 10.3390/rs14236005), 2022. [pdf]

Balestra, F.; Del Vecchio, M.; Pirone, D.; Pedone, M.A.; Spina, D.; Manfreda, S.; Menduni, G.; Bignami, D.F. Flood Susceptibility Mapping Using a Deep Neural Network Model: The Case Study of Southern Italy. Environ. Sci. Proc.2022, 21, 36. [pdf]

Albertini, C., D. Miglino, V. Iacobellis, F. De Paola, S. Manfreda, Flood-prone areas delineation in coastal regions using the Geomorphic Flood Index, Journal of Flood Risk Management, e12766, 2021. [pdf]

Albano, R., Samela, C., Crăciun, I., Manfreda, S., Adamowski, J., Sole, A., … & Ozunu, A. Large Scale Flood Risk Mapping in Data Scarce Environments: An Application for Romania. Water, 12(6), 1834, 2020. [pdf]

Tavares da Costa, R., S. Zanardo, S. Bagli, A. G. J. Hilberts, S. Manfreda, C. Samela, and A. Castellarin, Predictive modelling of envelope flood extents using geomorphic and climatic-hydrologic catchment characteristics, Water Resources Research, 2020. [pdf]

Tavares da Costa, R., S. Manfreda, V. Luzzi,  C. Samela, P. Mazzoli, A. Castellarin, S. Bagli, A web application for hydrogeomorphic flood hazard mapping, Environmental Modelling and Software, 2019.  [pdf]

Manfreda, S., C. Samela, A DEM-based method for a rapid estimation of flood inundation depth, Journal of Flood Risk Management, 12 (Suppl. 1):e12541, (doi: 10.1111/jfr3.12541) 2019. [pdf]

Manfreda S., C. Samela, A. Refice, V. Tramutoli, F. Nardi, Advances in Large Scale Flood Monitoring and Detection, Hydrology, 5, 49, 2018. [pdf]

Samela, C., R. Albano, A. Sole, S. Manfreda, A GIS tool for cost-effective delineation of flood-prone areas, Computers, Environment and Urban Systems, 70, 43-52, 2018.  [pdf]

Samela, C., T.J. Troy, S. Manfreda, Geomorphic classifiers for flood-prone areas delineation for data-scarce environments, Advances in Water Resources,  102, 13-28, 2017. [pdf]

Samela C., S. Manfreda, T. J. Troy, 100-year geomorphic flood-prone areas for the continental U.S., Data in Brief, 12, 203-207, 2017. [pdf]

D’Addabbo, A., A. Refice, G. Pasquariello, F. Lovergine, D. Capolongo and S. Manfreda, A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data, IEEE Transactions on Geoscience and Remote Sensing, 54(6), 3612 -3625, 2016.  [pdf]

Samela, C., S. Manfreda, F. De Paola, M. Giugni, A. Sole, M. Fiorentino, DEM-based approaches for the delineation of flood prone areas in an ungauged basin in Africa, Journal of Hydrologic Engineering, 21(2), 2016.  [pdf] 

Manfreda, S., C. Samela, A. Gioia, G. Consoli, V. Iacobellis, L. Giuzio, A. Cantisani, A. Sole, Flood-Prone Areas Assessment Using Linear Binary Classifiers based on flood maps obtained from 1D and 2D hydraulic models, Natural Hazards, 79 (2), 735-754, 2015. [pdf]

Manfreda, S., F. Nardi, C. Samela, S. Grimaldi, A. C. Taramasso, G. Roth and A. Sole, Investigation on the Use of Geomorphic Approaches for the Delineation of Flood Prone Areas, Journal of Hydrology, 517, 863-876, 2014. [pdf]

Manfreda, S. and Sole, A. Closure to “Detection of Flood-Prone Areas Using Digital Elevation Models” by Salvatore Manfreda, Margherita Di Leo, and Aurelia Sole. Journal of Hydrologic Engineering, 18(3), 362-365, 2013.  [pdf]

Manfreda, S., M. Di Leo, A. Sole, Detection of Flood Prone Areas using Digital Elevation Models, Journal of Hydrologic Engineering, 16(10), 781-790, 2011.  [pdf]