Nemesio Rodriguez-Fernandez

Orcid: 0000-0003-3796-149X

According to our database1, Nemesio Rodriguez-Fernandez authored at least 59 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Deep-Learning-Based Approach in Imaging Radiometry by Aperture Synthesis: An Alias-Free Method.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023
Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France.
Remote. Sens., September, 2023

Above-Ground Biomass Estimation Based on Multi-Angular L-Band Measurements of Brightness Temperatures.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Performance of SMOS Soil Moisture Products Over Core Validation Sites.
IEEE Geosci. Remote. Sens. Lett., 2023

An Hybrid Approach for Soil Moisture Estimation with Sentinel Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023


A New High Spatial Resolution Interferometric Radiometer for L-Band Earth Observation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Toward the Removal of Model Dependency in Soil Moisture Climate Data Records by Using an $L$-Band Scaling Reference.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

From SMOS Soil Moisture to 3-hour Precipitation Estimates at 0.1° Resolution in Africa.
Remote. Sens., 2022

Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation.
Remote. Sens., 2022

Above Ground Biomass Estimation from Passive Microwaves Brightness Temperatures Using Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022


Paving the Road to Flex and Biomass: The Land Surface Carbon Constellation Study.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Deep Learning Approaches for Microwave Interferometry Image Reconstruction: An Alias-Free Method.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Comparative Study of Digital Beamforming and Aperture Synthesis in Imaging Radiometry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Irregular Layout for a Satellite's Interferometric Array.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records.
Remote. Sens., 2021

Soil moisture downscaling using multiple modes of the DISPATCH algorithm in a semi-humid/humid region.
Int. J. Appl. Earth Obs. Geoinformation, 2021

L-Band Data for Numerical Weather Prediction and Emergency Services at ECMWF.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021


Global Estimation of Surface Soil Moisture Using Neural Networks Trained by In-Situ Measurements and Passive L-Band Telemetry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards the Removal of Model Bias from ESA CCI SM by Using an L-Band Scaling Reference.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Influence of Surface Water Variations on Vod and Biomass Estimates from Passive Microwave Sensors.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Global Assessment of Droughts in the Last Decade from SMOS Root Zone Soil Moisture.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Connected and Unconnected Synthetic Aperture Imaging Radiometry: A Preliminary Design for SMOS-Next Array.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Reconciling Flagging Strategies for Multi-Sensor Satellite Soil Moisture Climate Data Records.
Remote. Sens., 2020

Evaluation of the Sensitivity of SMOS L-VOD to Forest Above-Ground Biomass at Global Scale.
Remote. Sens., 2020


The Next Generation of L Band Radiometry: User'S Requirements and Technical Solutions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Monitoring the Global Biomass Thanks to 10 Years of SMOS Vegetation Optical Depth.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact.
Remote. Sens., 2019

Soil Moisture Remote Sensing across Scales.
Remote. Sens., 2019


Is vegetation optical depth needed to estimate biomass from passive microwave radiometers? A statistical study using neural networks.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

After Almost 10 Years in Orbit: First Glance at Synergisms and New Results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Combining L-Band Radar and Smos L-Band Vod for High Resolution Estimation of Biomass.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


2018
The Effect of Three Different Data Fusion Approaches on the Quality of Soil Moisture Retrievals from Multiple Passive Microwave Sensors.
Remote. Sens., 2018

Evaluation of SMOS, SMAP, ASCAT and Sentinel-1 Soil Moisture Products at Sites in Southwestern France.
Remote. Sens., 2018

SMOS-IC: Current Status and Overview of Soil Moisture and VOD Applications.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

SMOS Data Assimilation for Numerical Weather Prediction.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Smos L-Band Vegetation Optical Depth is Highly Sensitive to Aboveground Biomass.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

SMOS Neural Network Soil Moisture Data Assimilation.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Esa's SMOS Mission - Supporting Agricultural Applications.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Synergies Betwwen Smos and Sentinel-3.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Present and Future of L-Band Radiometry.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Constraining Terrestrial Carbon Fluxes Through Assimilation of SMOS Products.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

SMOS-IC Vegetation Optical Depth Index in Monitoring Aboveground Carbon Changes in the Tropical Continents During 2010-2016.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
SMOS-IC: An Alternative SMOS Soil Moisture and Vegetation Optical Depth Product.
Remote. Sens., 2017

Global retrieval of soil moisture using neural networks trained with synthetic radiometric data.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Soil moisture retrieval using SMOS brightness temperatures and a neural network trained on in situ measurements.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

SMOS and applications: First glance at synergistic and new results.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data.
Remote. Sens., 2016

Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model.
Int. J. Appl. Earth Obs. Geoinformation, 2016

SMOS after six years in operations: First glance at climatic trends and anomalies.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

First application of regression analysis to retrieve Soil Moisture from SMAP brightness temperature observations consistent with SMOS.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
Soil Moisture Retrieval Using Neural Networks: Application to SMOS.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
Soil moisture retrieval from SMOS observations using neural networks.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

RFI in SMOS measurements: Update on detection, localization, mitigation techniques and preliminary quantified impacts on soil moisture products.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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