Amen Al-Yaari

Orcid: 0000-0001-7530-6088

Affiliations:
  • French National Institute for Agricultural Research, Bordeaux


According to our database1, Amen Al-Yaari authored at least 47 papers between 2014 and 2023.

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

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

2022
Estimating High-Resolution Soil Moisture Over Mountainous Regions Using Remotely-Sensed Multispectral and Topographic Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
Comparative Evaluation of Microwave L-Band VOD and Optical NDVI for Agriculture Drought Detection over Central Europe.
Remote. Sens., 2021

Alternate Inrae-Bordeaux VOD Indices from SMOS, AMSR2 and ASCAT: Overview of Recent Developments.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Global Scale IB AMSR2 Vegetation Optical Depth at X-Band.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Assessment of Four Model-Based Surface Soil Temperature Products Unsing Global Dense in Situ Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

First Retrievals of ASCAT IB VOD (Vegetation Optical Depth) at Global Scale.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Global Long-Term Brightness Temperature Record from L-Band SMOS and Smap Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Towards a Better Understanding of Effective Temperature Modelling in the SMOS-IC Retrieval Algorithm.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Interannual Variability of Biomass (SMOS Vegetation Optical Depth) Over the Contiguous United States.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Infllunce of Irrigation on the Bias Between Orchidee and Fluxcom Evapotranspiration Products.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review.
Remote. Sens., 2020

Development and Validation of the SMOS-IC Version 2 (V2) Soil Moisture Product.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Mapping Soil Moisture at a High Resolution over Mountainous Regions by Integrating In Situ Measurements, Topography Data, and MODIS Land Surface Temperatures.
Remote. Sens., 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

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

The AQUI Soil Moisture Network for Satellite Microwave Remote Sensing Validation in South-Western 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

The Aqui Network: Soil Moisture Sites in the "Les Landes" Forest and Graves Vineyards (Bordeaux Aquitaine Region, France).
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-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

Evaluation of the Vegetation Optical Depth Index on Monitoring Fire Risk in the Mediterranean Region.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

The Added-Value of Satellite Soil Moisture Observations Over Irrigated Areas to Support Land Surface Model Developments.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Validation of Satellite Microwave Retrieved Soil Moisture with Global Ground-Based Measurements.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Correction: Yao, P. et al. Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopted the Microwave Vegetation Index. <i>Remote Sens.</i> 2017, <i>9</i>, 35.
Remote. Sens., 2017

Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index.
Remote. Sens., 2017

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

Estimation of the L-Band Effective Scattering Albedo of Tropical Forests Using SMOS Observations.
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

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

First glance on a revised SMOS soil moisture retrieval algorithm: Evaluation with respect to ECMWF soil moisture simulations.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2016
GLORI: A GNSS-R Dual Polarization Airborne Instrument for Land Surface Monitoring.
Sensors, 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
Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations.
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
Evaluating roughness effects on C-band AMSR-E observations.
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

Evaluating the impact of roughness in soil moisture and optical thickness retrievals over the VAS area.
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


  Loading...