Setting Up an Hydro-Meteo Experiment in Minutes: The DRIHM e-Infrastructure for HM Research. - Emanuele Danovaro; Luca Roverelli; Gabriele Zereik; Antonella Galizia; Daniele D'Agostino; Giacomo Paschina; Alfonso Quarati; Andrea Clematis; Fabio Delogu; Elisabetta Fiori; Antonio Parodi; Christian Straube; et al. (eScience, 2014)

The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research. - Daniele D'Agostino; Andrea Clematis; Antonella Galizia; Alfonso Quarati; Emanuele Danovaro; Luca Roverelli; Gabriele Zereik; Dieter Kranzlmüller; Michael Schiffers; Nils gentschen Felde; Christian Straube; Olivier Caumont; et al. (SC, 2014)

A Method to Automatically Detect Changes in Multitemporal Spectral Indices: Application to Natural Disaster Damage Assessment. - Luca Pulvirenti; Giuseppe Squicciarino; Elisabetta Fiori (Remote. Sens., 2020)

An Automatic Processing Chain for Near Real-Time Mapping of Burned Forest Areas Using Sentinel-2 Data. - Luca Pulvirenti; Giuseppe Squicciarino; Elisabetta Fiori; Paolo Fiorucci; Luca Ferraris; Dario Negro; Andrea Gollini; Massimiliano Severino; Silvia Puca (Remote. Sens., 2020)

The New, Systematic Global Flood Monitoring Product of the Copernicus Emergency Management Service. - Peter Salamon; Niall Mctlormick; Christopher Reimer; Tom Clarke; Bernhard Bauer-Marschallinger; Wolfgang Wagner 001; Sandro Martinis; Candace Chow; Christian Böhnke; Patrick Matgen; Marco Chini; Renaud Hostache; et al. (IGARSS, 2021)

A Tool for Pre-Operational Daily Mapping of Floods and Permanent Water Using Sentinel-1 Data. - Luca Pulvirenti; Giuseppe Squicciarino; Elisabetta Fiori; Luca Ferraris; Silvia Puca (Remote. Sens., 2021)

A Complete Meteo/Hydro/Hydraulic Chain Application to Support Early Warning and Monitoring Systems: The Apollo Medicane Use Case. - Martina Lagasio; Giacomo Fagugli; Luca Ferraris; Elisabetta Fiori; Simone Gabellani; Rocco Masi; Vincenzo Mazzarella; Massimo Milelli; Andrea Parodi; Flavio Pignone; Silvia Puca; Luca Pulvirenti; et al. (Remote. Sens., 2022)

Prediction of Cloud-to-Ground Lightning Through Gaussian Process Regression with Satellite Thermal Infrared Imagery and Numerical Weather Prediction Modeling Data. - Alice La Fata; Lorenzo Farina; Marina Bernardi; Gabriele Moser; Renato Procopio; Elisabetta Fiori (IGARSS, 2023)

A Gaussian Process Regression Method to Nowcast Cloud-to-Ground Lightning From Remote Sensing and Numerical Weather Modeling Data. - Alice La Fata; Gabriele Moser; Renato Procopio; Marina Bernardi; Elisabetta Fiori (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)