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Tommaso Moramarco
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2020 – today
- 2022
- [j13]Laura A. Hempel, Helen F. Malenda, John W. Fulton
, Mark F. Henneberg, Jay R. Cederberg, Tommaso Moramarco
The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River. Remote. Sens. 14(9): 1978 (2022) - 2020
- [j12]John W. Fulton
Near-Field Remote Sensing of Surface Velocity and River Discharge Using Radars and the Probability Concept at 10 U.S. Geological Survey Streamgages. Remote. Sens. 12(8): 1296 (2020) - [j11]John W. Fulton
QCam: sUAS-Based Doppler Radar for Measuring River Discharge. Remote. Sens. 12(20): 3317 (2020) - [j10]Federico Alimenti
Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor. IEEE Trans. Geosci. Remote. Sens. 58(7): 5195-5207 (2020)
2010 – 2019
- 2016
- [j9]Luca Ciabatta
Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy. Int. J. Appl. Earth Obs. Geoinformation 48: 163-173 (2016) - 2015
- [j8]Christian Massari
Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe? Remote. Sens. 7(9): 11403-11433 (2015) - [j7]Angelica Tarpanelli, Luca Brocca
Coupling MODIS and Radar Altimetry Data for Discharge Estimation in Poorly Gauged River Basins. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(1): 141-148 (2015) - 2014
- [j6]Giulia Farina, Stefano Alvisi
Three Methods for Estimating the Entropy Parameter M Based on a Decreasing Number of Velocity Measurements in a River Cross-Section. Entropy 16(5): 2512-2529 (2014) - [j5]Giovanni Corato, Abdelhadi Ammari, Tommaso Moramarco
Conventional Point-Velocity Records and Surface Velocity Observations for Estimating High Flow Discharge. Entropy 16(10): 5546-5559 (2014) - 2013
- [j4]Angelica Tarpanelli
River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling. Remote. Sens. 5(9): 4145-4162 (2013) - [c2]Luca Brocca
Assimilation of satellite soil moisture data into rainfall-runoff modelling for several catchments worldwide. IGARSS 2013: 2281-2284 - 2012
- [j3]Luca Brocca
Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy. Remote. Sens. 4(5): 1232-1244 (2012) - [j2]Teodosio Lacava
A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg. IEEE Trans. Geosci. Remote. Sens. 50(5-1): 1612-1622 (2012) - [j1]Luca Brocca
Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall-Runoff Modeling. IEEE Trans. Geosci. Remote. Sens. 50(7): 2542-2555 (2012) - [c1]Teodosio Lacava
A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison. IGARSS 2012: 1135-1138
Coauthor Index
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