SALVATORE MANFREDA

Associate Professor

All our science, measured against reality, is primitive and childlike — and yet it is the most precious thing we have


(Albert Einstein)

Most Recent Publications

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

Manfreda and Samela, A DEM-based method for a rapid estimation of flood inundation depth, Journal of Flood Risk Management, 2019. [pdf

Manfreda and McCabe. Emerging earth observing platforms offer new insights into hydrological processes, Hydrolink, 2019.  [pdf]

Manfreda et al. Assessing the Accuracy of Digital Surface Models Derived from Optical Imagery Acquired with Unmanned Aerial Systems, Drones, 2019. [pdf]

Manfreda et al. A Theoretically Derived Probability Distribution of Scour, Water, 2018. [pdf]

Manfreda, On the derivation of flow rating-curves in data-scarce environments, Journal of Hydrology, 2018. [pdf]

Dal Sasso et al. Exploring the optimal experimental setup for surface flow velocity measurements using PTV, Environmental Monitoring and Assessment, 2018. [pdf]

Manfreda et al. On the Use of Unmanned Aerial Systems for Environmental Monitoring, Remote Sensing, 2018. [pdf]

Manfreda et al. Exploiting the Use of Physical Information for the Calibration of a Lumped Hydrological Model, Hydrological Processes, 2018. [pdf]

Samela et al. An open source GIS software tool for cost effective delineation of flood prone areas, Computers, Environment and Urban Systems,  2018. [pdf]

Tauro et al. Measurements and Observations in the XXI century (MOXXI): innovation and multidisciplinarity to disclose the hydrological cycle, Hydrological Sciences Journal, 2018.  [pdf]

Pizarro et al. An entropy-based model for bridge-pier scour estimation under complex hydraulic scenarios, Water, 2017. [pdf]

Samela et al. Geomorphic classifiers for flood-prone areas delineation for data-scarce environments, Advances in Water Resources, 2017. [pdf]

Baldwin et al. Predicting root zone soil moisture with soil properties and satellite near-surface moisture data at locations across the United States, Journal of Hydrology, 2017. [pdf]

Manfreda et al. An Ecohydrological framework to explain shifts in vegetation organization across climatological gradients, Ecohydrology, 2017. [pdf]

Pizarro et al. Effective Flow Work for Estimation of Pier Scour under Flood Waves, Journal of Hydraulic Engineering, 2017. [pdf]

D’Addabbo et al. A Bayesian Network for Flood Detection Combining SAR Imagery and Ancillary Data, IEEE Transactions on Geoscience and Remote Sensing, 2016. [pdf]

Samela et al. DEM-based approaches for the delineation of flood prone areas in an ungauged basin in AfricaJournal of Hydrologic Engineering, 2016. [pdf]

Manfreda et al. Flood-Prone Areas Assessment Using Linear Binary Classifiers based on flood maps obtained from 1D and 2D hydraulic modelsNatural Hazards, 2015. [pdf]

Manfreda et al. Investigation on the Use of Geomorphic Approaches for the Delineation of Flood Prone Areas, Journal of Hydrology, 2014. [pdf]

Manfreda et al. A physically based approach for the estimation of root-zone soil moisture from surface measurementsHydrology and Earth System Sciences, 2014. [pdf]