Philippe Richaume

Orcid: 0000-0002-2945-0262

According to our database1, Philippe Richaume authored at least 71 papers between 2000 and 2024.

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

Timeline

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Bibliography

2024
Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data.
Int. J. Digit. Earth, December, 2024

Recovery of SMOS Salinity Variability in RFI-Contaminated Regions.
IEEE Trans. Geosci. Remote. Sens., 2024

Assessment of SMOS Root Zone Soil Moisture: A Comparative Study Using SMAP, ERA5, and GLDAS.
IEEE Access, 2024

Enhancing SMOS Salinity Accuracy in Areas Affected by RFI.
Proceedings of the IGARSS 2024, 2024

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


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


2021
SMOS L-VOD Retrieved by Level 2 Algorithm and its Correlation With GEDI LIDAR Products.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

2020
SMOS Third Mission Reprocessing after 10 Years in Orbit.
Remote. Sens., 2020


2019
Improving the Spatial Bias Correction Algorithm in SMOS Image Reconstruction Processor: Validation of Soil Moisture Retrievals With In Situ Data.
IEEE Trans. Geosci. Remote. Sens., 2019

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

Analysis of Vegetation Optical Depth and Soil Moisture Retrieved by SMOS Over Tropical Forests.
IEEE Geosci. Remote. Sens. Lett., 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

SMOS RFI Experience in the 1400-1427 MHz Passive Band: Case of Extended Interference Caused By Broadcasting Satellite Home-TV Receivers.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Lessons learned from SMOS RFI processing, perspectives for future interferometry missions.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019


2018
Spatial and Temporal Properties of SMOS Retrieval Over Tropical Forests.
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

How does the Spatial Scale Mismatch Between in Situ and Smos Soil Moisture Evolve Through Timescales?
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

2017
L-Band RFI Detected by SMOS and Aquarius.
IEEE Trans. Geosci. Remote. Sens., 2017

Effective Scattering Albedo of Forests Retrieved by SMOS and a Three-Parameter Algorithm.
IEEE Geosci. Remote. Sens. Lett., 2017

Considering combined or separated roughness and vegetation effects in soil moisture retrievals.
Int. J. Appl. Earth Obs. Geoinformation, 2017

A new calibration of the effective scattering albedo and soil roughness parameters in the SMOS SM retrieval algorithm.
Int. J. Appl. Earth Obs. Geoinformation, 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

SMOS-IC: A revised SMOS product based on a new effective scattering albedo and soil roughness parameterization.
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

SMOS forest optical depth intercomparisons over pan-tropical biomes.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 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

Calibrating the effective scattering albedo in the SMOS algorithm: Some first results.
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

Comparison of Dobson and Mironov Dielectric Models in the SMOS Soil Moisture Retrieval Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2015

Effect of the Polarization Leakage on the SMOS Image Reconstruction Algorithm: Validation Using Ocean Model and In Situ Soil Moisture Data.
IEEE Trans. Geosci. Remote. Sens., 2015

Analyzing the impact of using the SRP (Simplified roughness parameterization) method on soil moisture retrieval over different regions of the globe.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Evaluation of the most recent reprocessed SMOS soil moisture products: Comparison between SMOS level 3 V246 and V272.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Mitigation of RFIS for SMOS: A Distributed Approach.
IEEE Trans. Geosci. Remote. Sens., 2014

SMOS Retrieval Results Over Forests: Comparisons With Independent Measurements.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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

Global maps of roughness parameters from L-band SMOS observations.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Enhancements of SMOS level 2 soil moisture products over Canada.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Compared performances of microwave passive soil moisture retrievals (SMOS) and active soil moisture retrievals (ASCAT) using land surface model estimates (MERRA-LAND).
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 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
SMOS Radiometer in the 1400-1427-MHz Passive Band: Impact of the RFI Environment and Approach to Its Mitigation and Cancellation.
IEEE Trans. Geosci. Remote. Sens., 2013

SMOS Level 2 Retrieval Algorithm Over Forests: Description and Generation of Global Maps.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

SMOS L2 retrieval results over the American continent and comparisons with independent data sources.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
SMOS Radio Frequency Interference Scenario: Status and Actions Taken to Improve the RFI Environment in the 1400-1427-MHz Passive Band.
IEEE Trans. Geosci. Remote. Sens., 2012

Disaggregation of SMOS Soil Moisture in Southeastern Australia.
IEEE Trans. Geosci. Remote. Sens., 2012

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

The SMOS Soil Moisture Retrieval Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2012

Evaluation of SMOS Soil Moisture Products Over Continental U.S. Using the SCAN/SNOTEL Network.
IEEE Trans. Geosci. Remote. Sens., 2012

RFI mitigation for SMOS: A distributed approach.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Testing and improving forward model and SMOS L2 algorithm for forests.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

SMOS calibration and validation over the Salar de Uyuni.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

SMOS radiometer in 1400-1427 MHz: Impact of the RFI environment and approach to its mitigation and cancellation.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2011
Estimating SMOS error structure using triple collocation.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

2007
Optimizing the algorithm for retrieving soil moisture from SMOS data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

2003
Advanced algorithms of the ADEOS-2/POLDER-2 land surface process line: application to the ADEOS-1/POLDER-1 data.
Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

2000
Neural network wind retrieval from ERS-1 scatterometer data.
Neurocomputing, 2000


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