Clément Albergel

Orcid: 0000-0003-1095-2702

Affiliations:
  • CNRS, Paris, France


According to our database1, Clément Albergel authored at least 33 papers between 2009 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

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

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

Evaluating High Resolution Soil Moisture Maps in the Framework of the ESA CCI.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
Use of Sentinel-1 Multi-Configuration and Multi-Temporal Series for Monitoring Parameters of Winter Wheat.
Remote. Sens., 2021

ESA'S Climate Change Initiative: How SMOS Contributes.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Integrating Satellite-Derived Vegetation Variables into the ISBA Model: A Sequential Data Assimilation Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Editorial for the Special Issue "Soil Moisture Retrieval using Radar Remote Sensing Sensors".
Remote. Sens., 2020

From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States.
Remote. Sens., 2020

Linkages between Rainfed Cereal Production and Agricultural Drought through Remote Sensing Indices and a Land Data Assimilation System: A Case Study in Morocco.
Remote. Sens., 2020

2019
Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018.
Remote. Sens., 2019

Interpretation of ASCAT Radar Scatterometer Observations Over Land: A Case Study Over Southwestern France.
Remote. Sens., 2019

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

A Generic First-Order Radiative Transfer Modelling Approach for the Inversion of Soil and Vegetation Parameters from Scatterometer Observations.
Remote. Sens., 2019

First Vegetation Optical Depth Mapping from Sentinel-1 C-band SAR Data over Crop Fields.
Remote. Sens., 2019

Monitoring Soil Moisture Drought over Northern High Latitudes from Space.
Remote. Sens., 2019

An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US.
Remote. Sens., 2019

Correction: Balsamo, G., <i>et al.</i> Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. <i>Remote Sensing</i> 2018, <i>10</i>, 2038.
Remote. Sens., 2019

Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation.
Remote. Sens., 2019

2018
Satellite Leaf Area Index: Global Scale Analysis of the Tendencies Per Vegetation Type Over the Last 17 Years.
Remote. Sens., 2018

Using Satellite-Derived Vegetation Products to Evaluate LDAS-Monde over the Euro-Mediterranean Area.
Remote. Sens., 2018

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

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review.
Remote. Sens., 2018

LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables.
Remote. Sens., 2018

SMOS Data Assimilation for Numerical Weather Prediction.
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

2014
SMOS Brightness Temperature Angular Noise: Characterization, Filtering, and Validation.
IEEE Trans. Geosci. Remote. Sens., 2014

Merging two passive microwave remote sensing (SMOS and AMSR_E) datasets to produce a long term record of Soil Moisture.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

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

2012
A Combined Optical-Microwave Method to Retrieve Soil Moisture Over Vegetated Areas.
IEEE Trans. Geosci. Remote. Sens., 2012

2011
Sensitivity of Passive Microwave Observations to Soil Moisture and Vegetation Water Content: L-Band to W-Band.
IEEE Trans. Geosci. Remote. Sens., 2011

CAROLS: A New Airborne L-Band Radiometer for Ocean Surface and Land Observations.
Sensors, 2011

Soil Moisture Estimations Based on Airborne CAROLS L-Band Microwave Data.
Remote. Sens., 2011

2009
Use of In-situ Soil Moisture Measurements to Evaluate Microwave Remote Sensing Products in South-western France.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009


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