| On the use of unmanned aerial systems for environmental monitoring S Manfreda, MF McCabe, PE Miller, R Lucas, V Pajuelo Madrigal, ... Remote sensing 10 (4), 641, 2018 | 799 | 2018 |
| The olive tree: a paradigm for drought tolerance in Mediterranean climates A Sofo, S Manfreda, M Fiorentino, B Dichio, C Xiloyannis Hydrology and Earth System Sciences 12 (1), 293-301, 2008 | 258 | 2008 |
| Current practices in UAS-based environmental monitoring G Tmušić, S Manfreda, H Aasen, MR James, G Gonçalves, E Ben-Dor, ... Remote Sensing 12 (6), 1001, 2020 | 241 | 2020 |
| Detection of flood-prone areas using digital elevation models S Manfreda, M Di Leo, A Sole Journal of Hydrologic Engineering 16 (10), 781-790, 2011 | 236 | 2011 |
| Measurements and observations in the XXI century (MOXXI): Innovation and multi-disciplinarity to sense the hydrological cycle F Tauro, J Selker, N Van De Giesen, T Abrate, R Uijlenhoet, M Porfiri, ... Hydrological sciences journal 63 (2), 169-196, 2018 | 210 | 2018 |
| A Bayesian network for flood detection combining SAR imagery and ancillary data A D'Addabbo, A Refice, G Pasquariello, FP Lovergine, D Capolongo, ... IEEE Transactions on Geoscience and Remote Sensing 54 (6), 3612-3625, 2016 | 164 | 2016 |
| Geomorphic classifiers for flood-prone areas delineation for data-scarce environments C Samela, TJ Troy, S Manfreda Advances in water resources 102, 13-28, 2017 | 157 | 2017 |
| Investigation on the use of geomorphic approaches for the delineation of flood prone areas S Manfreda, F Nardi, C Samela, S Grimaldi, AC Taramasso, G Roth, ... Journal of hydrology 517, 863-876, 2014 | 156 | 2014 |
| The science behind scour at bridge foundations: A review A Pizarro, S Manfreda, E Tubaldi Water 12 (2), 374, 2020 | 149 | 2020 |
| Dynamic response of grass cover to rainfall variability: implications for the function and persistence of savanna ecosystems TM Scanlon, KK Caylor, S Manfreda, SA Levin, I Rodriguez-Iturbe Advances in Water Resources 28 (3), 291-302, 2005 | 141 | 2005 |
| On the coupled geomorphological and ecohydrological organization of river basins KK Caylor, S Manfreda, I Rodriguez-Iturbe Advances in Water Resources 28 (1), 69-86, 2005 | 134 | 2005 |
| A GIS tool for cost-effective delineation of flood-prone areas C Samela, R Albano, A Sole, S Manfreda Computers, Environment and Urban Systems 70, 43-52, 2018 | 131 | 2018 |
| A physically based approach for the estimation of root-zone soil moisture from surface measurements S Manfreda, L Brocca, T Moramarco, F Melone, J Sheffield Hydrology and Earth System Sciences 18 (3), 1199-1212, 2014 | 114 | 2014 |
| DREAM: a distributed model for runoff, evapotranspiration, and antecedent soil moisture simulation S Manfreda, M Fiorentino, V Iacobellis Advances in Geosciences 2, 31-39, 2005 | 113 | 2005 |
| Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D hydraulic models S Manfreda, C Samela, A Gioia, GG Consoli, V Iacobellis, L Giuzio, ... Natural Hazards 79, 735-754, 2015 | 108 | 2015 |
| An evaluation of image velocimetry techniques under low flow conditions and high seeding densities using unmanned aerial systems S Pearce, R Ljubičić, S Peña-Haro, M Perks, F Tauro, A Pizarro, ... Remote Sensing 12 (2), 232, 2020 | 100 | 2020 |
| Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States D Baldwin, S Manfreda, K Keller, EAH Smithwick Journal of Hydrology 546, 393-404, 2017 | 96 | 2017 |
| Space‐time modeling of soil moisture: Stochastic rainfall forcing with heterogeneous vegetation I Rodríguez‐Iturbe, V Isham, DR Cox, S Manfreda, A Porporato Water resources research 42 (6), 2006 | 96 | 2006 |
| A digital elevation model based method for a rapid estimation of flood inundation depth S Manfreda, C Samela Journal of Flood Risk Management 12, e12541, 2019 | 92 | 2019 |
| DEM-based approaches for the delineation of flood-prone areas in an ungauged basin in Africa C Samela, S Manfreda, FD Paola, M Giugni, A Sole, M Fiorentino Journal of Hydrologic Engineering 21 (2), 06015010, 2016 | 88 | 2016 |
