Xiangzhuo Liu

Orcid: 0000-0002-1690-7083

According to our database1, Xiangzhuo Liu authored at least 33 papers between 2018 and 2024.

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

Timeline

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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

Global fuel moisture content mapping from MODIS.
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

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

Evaluation of Himawari-8 for Live Fuel Moisture Content Retrieval.
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

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
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

Estimation of Fuel Biomass for Grasslands Using Data Assimilation Technique.
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

Evaluating the Sentinel-2a Satellite Data for Fuel Moisture Content Retrieval.
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
Near Real-Time Extracting Wildfire Spread Rate from Himawari-8 Satellite Data.
Remote. Sens., 2018

Wildfire Risk Assessment Using Multi-Source Remote Sense Derived Variables.
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

Estimation of Wildfire Spread Rate from Geostationary Satellite Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018


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