Ying Gao

Orcid: 0000-0003-2569-9148

Affiliations:
  • University of California Los Angeles, Joint Institute for Regional Earth System Science and Engineering, CA, USA
  • Monash University, Department of Civil Engineering, Clayton, VIC, Australia (PhD 2016)


According to our database1, Ying Gao authored at least 12 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Comparison Between Thermal-Optical and L-Band Passive Microwave Soil Moisture Remote Sensing at Farm Scales: Towards UAV-Based Near-Surface Soil Moisture Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

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

2018
Evaluation of the Tau-Omega Model for Passive Microwave Soil Moisture Retrieval Using SMAPEx Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

L-, C- and X-Band Passive Microwave Soil Moisture Retrieval Algorithm Parameterization Using in Situ Validation Sites.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Intercalibration of Low Frequency Brightness Temperature Measurements For Long-Term Soil Moisture Record.
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

Multi-frequency radiometer-based soil moisture retrieval algorithm parametrization using in situ validation sites.
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

2015
Optical Sensing of Vegetation Water Content: A Synthesis Study.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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


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