Tommaso Moramarco

Orcid: 0000-0002-9870-1694

According to our database1, Tommaso Moramarco authored at least 15 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River.
Remote. Sens., 2022

2020
Noncontact Measurement of River Surface Velocity and Discharge Estimation With a Low-Cost Doppler Radar Sensor.
IEEE Trans. Geosci. Remote. Sens., 2020

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., 2020

QCam: sUAS-Based Doppler Radar for Measuring River Discharge.
Remote. Sens., 2020

2016
Rainfall-runoff modelling by using SM2RAIN-derived and state-of-the-art satellite rainfall products over Italy.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Coupling MODIS and Radar Altimetry Data for Discharge Estimation in Poorly Gauged River Basins.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe?
Remote. Sens., 2015

2014
Three Methods for Estimating the Entropy Parameter <i>M</i> Based on a Decreasing Number of Velocity Measurements in a River Cross-Section.
Entropy, 2014

Conventional Point-Velocity Records and Surface Velocity Observations for Estimating High Flow Discharge.
Entropy, 2014

2013
River Discharge Estimation by Using Altimetry Data and Simplified Flood Routing Modeling.
Remote. Sens., 2013

Assimilation of satellite soil moisture data into rainfall-runoff modelling for several catchments worldwide.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
A First Assessment of the SMOS Soil Moisture Product With In Situ and Modeled Data in Italy and Luxembourg.
IEEE Trans. Geosci. Remote. Sens., 2012

Assimilation of Surface- and Root-Zone ASCAT Soil Moisture Products Into Rainfall-Runoff Modeling.
IEEE Trans. Geosci. Remote. Sens., 2012

Improving Landslide Forecasting Using ASCAT-Derived Soil Moisture Data: A Case Study of the Torgiovannetto Landslide in Central Italy.
Remote. Sens., 2012

A multi-sensor (SMOS, AMSR-E and ASCAT) satellite-based soil moisture products inter-comparison.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


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