Yi Y. Liu
Orcid: 0000-0001-9059-8269Affiliations:
- Nanjing University of Information Science and Technology, School of Geographical Science, Nanjing, China
- University of New South Wales, School of Civil and Environmental Engineering, Sydney, Australia
According to our database1,
Yi Y. Liu
authored at least 19 papers
between 2011 and 2024.
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Bibliography
2024
Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization.
IEEE Trans. Geosci. Remote. Sens., 2024
2022
IEEE Trans. Geosci. Remote. Sens., 2022
Towards Consistent Soil Moisture Records from China's FengYun-3 Microwave Observations.
Remote. Sens., 2022
An Analysis of Spatio-Temporal Relationship between Satellite-Based Land Surface Temperature and Station-Based Near-Surface Air Temperature over Brazil.
Remote. Sens., 2022
2021
Improving the Combination of Satellite Soil Moisture Data Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double Instrumental Variable (EIVD) Alternatives.
IEEE Trans. Geosci. Remote. Sens., 2021
Forest Canopy Changes in the Southern Amazon during the 2019 Fire Season Based on Passive Microwave and Optical Satellite Observations.
Remote. Sens., 2021
Global Land Surface Temperature Change (2003-2017) and Its Relationship with Climate Drivers: AIRS, MODIS, and ERA5-Land Based Analysis.
Remote. Sens., 2021
2020
Maximizing Temporal Correlations in Long-Term Global Satellite Soil Moisture Data-Merging.
Remote. Sens., 2020
2019
The Addition of Temperature to the TSS-RESTREND Methodology Significantly Improves the Detection of Dryland Degradation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
2018
Comparing the Performance of Neural Network and Deep Convolutional Neural Network in Estimating Soil Moisture from Satellite Observations.
Remote. Sens., 2018
Assessing the relationship between microwave vegetation optical depth and gross primary production.
Int. J. Appl. Earth Obs. Geoinformation, 2018
The Addition of Temperature Significantly Improves the Detection of Land Degradation in Cold Drylands Using the TSS-RESTREND Methodology.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
The Evaluation of Single-Sensor Surface Soil Moisture Anomalies over the Mainland of the People's Republic of China.
Remote. Sens., 2017
Spatial Disaggregation of Coarse Soil Moisture Data by Using High-Resolution Remotely Sensed Vegetation Products.
IEEE Geosci. Remote. Sens. Lett., 2017
2016
Merging Alternate Remotely-Sensed Soil Moisture Retrievals Using a Non-Static Model Combination Approach.
Remote. Sens., 2016
Advantages of Using Microwave Satellite Soil Moisture over Gridded Precipitation Products and Land Surface Model Output in Assessing Regional Vegetation Water Availability and Growth Dynamics for a Lateral Inflow Receiving Landscape.
Remote. Sens., 2016
2012
A three-dimensional gap filling method for large geophysical datasets: Application to global satellite soil moisture observations.
Environ. Model. Softw., 2012
Constructing and analyzing a 32-years climate data record of remotely sensed soil moisture.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
2011
Error Estimates for Near-Real-Time Satellite Soil Moisture as Derived From the Land Parameter Retrieval Model.
IEEE Geosci. Remote. Sens. Lett., 2011