Luca Brocca

Orcid: 0000-0002-9080-260X

According to our database1, Luca Brocca authored at least 36 papers between 2012 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Improving the STARFM Fusion Method for Downscaling the SSEBOP Evapotranspiration Product from 1 km to 30 m in an Arid Area in China.
Remote. Sens., November, 2023

2022
How accurately can we retrieve irrigation timing and water amounts from (satellite) soil moisture?
Int. J. Appl. Earth Obs. Geoinformation, 2022

Tracking Rainfall Deficits Through the Water Cycle Using Earth Observation Datasets: A Case Study in Senegal.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Irrigation Mapping Using Sentinel-1 and Sentinel-2 Data.
Proceedings of the 6th International Conference on Advanced Technologies for Signal and Image Processing, 2022

2021
Performance Evaluation of Long NDVI Timeseries from AVHRR, MODIS and Landsat Sensors over Landslide-Prone Locations in Qinghai-Tibetan Plateau.
Remote. Sens., 2021

A Review of Irrigation Information Retrievals from Space and Their Utility for Users.
Remote. Sens., 2021

2020
River Flow Monitoring by Sentinel-3 OLCI and MODIS: Comparison and Combination.
Remote. Sens., 2020

The Precipitation Inferred from Soil Moisture (PrISM) Near Real-Time Rainfall Product: Evaluation and Comparison.
Remote. Sens., 2020

Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region.
Remote. Sens., 2020

2019
Daily River Discharge Estimates by Merging Satellite Optical Sensors and Radar Altimetry Through Artificial Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2019

Toward Global Soil Moisture Monitoring With Sentinel-1: Harnessing Assets and Overcoming Obstacles.
IEEE Trans. Geosci. Remote. Sens., 2019

A Machine Learning Approach for Improving Near-Real-Time Satellite-Based Rainfall Estimates by Integrating Soil Moisture.
Remote. Sens., 2019

Near-Real-Time Flood Forecasting Based on Satellite Precipitation Products.
Remote. Sens., 2019

A merged SMAP - Sentinel-1 soil moisture product using Artificial Neural Networks: a case study in Central Italy.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Exploiting Satellite-Based Surface Soil Moisture for Flood Forecasting in the Mediterranean Area: State Update Versus Rainfall Correction.
Remote. Sens., 2018

Soil Moisture from Fusion of Scatterometer and SAR: Closing the Scale Gap with Temporal Filtering.
Remote. Sens., 2018

On the synergy of SMAP, AMSR2 AND SENTINEL-1 for retrieving soil moisture.
Int. J. Appl. Earth Obs. Geoinformation, 2018

How much water is used for irrigation? A new approach exploiting coarse resolution satellite soil moisture products.
Int. J. Appl. Earth Obs. Geoinformation, 2018

2017
A Review of the Applications of ASCAT Soil Moisture Products.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

2016
Robust Assessment of an Operational Algorithm for the Retrieval of Soil Moisture From AMSR-E Data in Central Italy.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Remote Sensing of Terrestrial Rainfall From Ku-Band Scatterometers.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Using Python® language for the validation of the CCI soil moisture products via SM2RAIN.
PeerJ Prepr., 2016

Multiyear monitoring of soil moisture over Iran through satellite and reanalysis soil moisture products.
Int. J. Appl. Earth Obs. Geoinformation, 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

Soil moisture retrieval at regional scale from AMSR2 data (Conference Presentation).
Proceedings of the SAR Image Analysis, 2016

Soil moisture and rainfall retrieval from AMSR2 data in Italy.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 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
Clarifications on the "Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.".
IEEE Trans. Geosci. Remote. Sens., 2014

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

34 years of remotely sensed soil moisture: What climate signals do we (not) see?
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 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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