Xiaojun Li
Orcid: 0000-0002-3831-4852Affiliations:
- 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.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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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
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
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
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
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
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
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