Xiangzhuo Liu
Orcid: 0000-0002-1690-7083
According to our database1,
Xiangzhuo Liu
authored at least 33 papers
between 2018 and 2024.
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Bibliography
2024
Quantitative assessment of various proxies for downscaling coarse-resolution VOD products over the contiguous United States.
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
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
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
2021
Relationships between Burn Severity and Environmental Drivers in the Temperate Coniferous Forest of Northern China.
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
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
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
Improving Land Cover Change Detection and Classification With BRDF Correction and Spatial Feature Extraction Using Landsat Time Series: A Case of Urbanization in Tianjin, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Correction: Wang, L., et al. Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation. Remote Sensing 2019, 11(13), 1568.
Remote. Sens., 2020
Global Monitoring of the Vegetation Dynamics from the Vegetation Optical Depth (VOD): A Review.
Remote. Sens., 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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
Assessment of the Dual Polarimetric Sentinel-1A Data for Forest Fuel Moisture Content Estimation.
Remote. Sens., 2019
Analysis of Impervious Surface Change and Economy in Tianjin, China Using Landsat Time Series Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Burn Severity Estimation in Northern Australia Tropical Savannas Using Radiative Transfer Model and Sentinel-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Spatiotemporal Pattern Simulation of Fractional Vegetation Coverage in the South Qilian Mountains Based on BP Neural Network.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Estimation of Fuel Moisture Content Based on Quad Polarimetric Decomposition Parameters of Radarsat-2 Data.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Preliminarily Analysis of the Relation Between Satellite Derived Fuel Moisture Content and Wildfire Activity in Southwestern China.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Retrieval of Fuel Moisture Content from Himawari-8 Product: Towards Real-Time Wildfire Risk Assessment.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018