Xiaoling Wu

Orcid: 0000-0002-9047-2970

Affiliations:
  • Monash University, Clayton, VIC, Australia


According to our database1, Xiaoling Wu authored at least 29 papers between 2012 and 2024.

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

2024
Evaluation of the Bayesian Downscaling Algorithm for Achieving Higher Resolution Soil Moisture Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Comparison of Passive Microwave Emission Models for Estimating Brightness Temperature at L- and P-Bands Under Bare and Vegetated Soil Conditions.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Multi-Layer Soil Moisture Estimation Using Combined L-and P-Band Radiometry: an Application of Machine Learning Algorithms.
Proceedings of the IGARSS 2024, 2024

2023
Evaluation of the Tau-Omega Model Over a Dense Corn Canopy at P- and L-Band.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
Inter-Comparison of Proximal Near-Surface Soil Moisture Measurement Techniques.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Root Zone Soil Moisture Profile Retrieval Using Combined L-Band and P-Band Radiometry.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021
The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia.
IEEE Trans. Geosci. Remote. Sens., 2021

Soil Moisture Retrieval Depth of P- and L-Band Radiometry: Predictions and Observations.
IEEE Trans. Geosci. Remote. Sens., 2021

2020
Preliminary Model for Soil Moisture Retrieval Using P-Band Radiometer Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019
Multi-Platform Radiometer Systems for Surface Soil Moisture Retrieval.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Investigation of SMAP Active-Passive Downscaling Algorithms Using Combined Sentinel-1 SAR and SMAP Radiometer Data.
IEEE Trans. Geosci. Remote. Sens., 2018

The Polarimetric L-Band Imaging Synthetic Aperture Radar (PLIS): Description, Calibration, and Cross-Validation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Towards Multi-Frequency Soil Moisture Retrieval Using P- and L-Band Passive Microwave Sensing Technology.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Sentinel-1 & Sentinel-2 for SOIL Moisture Retrieval at Field Scale.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Towards Soil Moisture Retrieval Using Tower-Based P-Band Radiometer Observations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
Medium-Resolution Soil Moisture Retrieval Using the Bayesian Merging Method.
IEEE Trans. Geosci. Remote. Sens., 2017

Intercomparison of Alternate Soil Moisture Downscaling Algorithms Using Active-Passive Microwave Observations.
IEEE Geosci. Remote. Sens. Lett., 2017

Comparison of downscaling techniques for high resolution soil moisture mapping.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017




2016
Estimation of Vegetation Water Content From the Radar Vegetation Index at L-Band.
IEEE Trans. Geosci. Remote. Sens., 2016

Assessment of the SMAP Passive Soil Moisture Product.
IEEE Trans. Geosci. Remote. Sens., 2016

Towards validation of SMAP: SMAPEX-4 & -5.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


2015
Simulation of the SMAP Data Stream From SMAPEx Field Campaigns in Australia.
IEEE Trans. Geosci. Remote. Sens., 2015

Effect of Land-Cover Type on the SMAP Active/Passive Soil Moisture Downscaling Algorithm Performance.
IEEE Geosci. Remote. Sens. Lett., 2015

2014
The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission.
IEEE Trans. Geosci. Remote. Sens., 2014

2012
An airborne simulation of the SMAP data stream.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


  Loading...