Xiaojun Li

Orcid: 0000-0002-3831-4852

Affiliations:
  • Université de Bordeaux, France
  • Chinese Academy of Sciences / Beijing Normal University, Institute of Remote Sensing and Digital Earth, China (former)


According to our database1, Xiaojun Li authored at least 31 papers between 2017 and 2025.

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

Timeline

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2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Sensitivity Study of Multiconstellation GNSS-R to Soil Moisture and Surface Roughness Using FY-3E GNOS-II Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024
Quantitative assessment of various proxies for downscaling coarse-resolution VOD products over the contiguous United States.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Forest degradation contributes more to carbon loss than forest cover loss in North American boreal forests.
Int. J. Appl. Earth Obs. Geoinformation, 2024

A New Calibration of Soil Roughness Effects in the SMOS-IC Algorithm for Soil Moisture and VOD Retrievals.
Proceedings of the IGARSS 2024, 2024

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

TECIS: The First Mission Towards Forest Carbon Mapping By Combination Of Lidar And Multi-Angle Optical Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Soil Moisture Retrieval from the Integration of SMAP and ASCAT Using Machine Learning Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Could L-Band Soil Moisture Products Capture the Soil Moisture Climatology Variations in Tropical Rainforests?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Alternate INRAE-Bordeaux Soil Moisture and L-Band Vegetation Optical Depth Products from SMOS and SMAP: Current Status and Overview.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Land Surface Model Calibration for the Future CIMR Mission.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Processed Data for Figures of "Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains".
Dataset, November, 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

Retrieval of High-Resolution Vegetation Optical Depth from Sentinel-1 Data over a Grassland Region in the Heihe River Basin.
Remote. Sens., 2022

Detection and attribution of long-term and fine-scale changes in spring phenology over urban areas: A case study in New York State.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Evaluation of SMAP, SMOS, and AMSR2 Soil Moisture Products Based on Distributed Ground Observation Network in Cold and Arid Regions of China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A consistent record of vegetation optical depth retrieved from the AMSR-E and AMSR2 X-band observations.
Int. J. Appl. Earth Obs. Geoinformation, 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

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

Vegetation Optical Depth Retrieval from AMSR-E/AMSR2 Observations Using L-MEB Inversion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

New Ascat Vegetation Optical Depth (IB-VOD) Retrievals Over Africa.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

"Tau-Omega"- and Two-Stream Emission Models applied to Close-Range and SMOS Measurements.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Analysis of the Spatial Variability of Land Surface Variables for ET Estimation: Case Study in HiWATER Campaign.
Remote. Sens., 2018

2017
Estimating Subpixel Surface Heat Fluxes through Applying Temperature-Sharpening Methods to MODIS Data.
Remote. Sens., 2017


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