Paper Publications
- [1] Zhu, Yongchao*, Li, Jiangyang, Ge, Maorong, Qu, Xiaochuan, Tao, Tingye, Li, Shuiping, & Gao, Fei. Quasi-Global Soil Moisture Retrieval Using Spaceborne CYGNSS Data with the Stacking Fused Machine Learning Model.[J:Water Resources Management,2025,39):6331-6350.
- [2] Zhu, Yongchao*, Lu, Qiuling, Ge, Maorong, Qu, Xiaochuan, Tao, Tingye, Yu, Kegen, & Li, Shuiping. (2025). Attention Enhanced ResNet for Ocean Surface Wind Speed Retrieval Using CYGNSS Observables.[J:Advances in Space Research,2026
- [3] Song, Shenjia, Zhu, Yongchao*, Qu, Xiaochuan, & Tao, Tingye. Spaceborne GNSS-R for sensing soil moisture using CYGNSS considering land cover type..[J:Water Resources Management,2025,39):3499-3519.
- [4] 陶庭叶, 李江洋, 朱勇超*, 汪俊涛, 陈皓, & 时梦杰. (2022). 阶段模型修正的星载GNSS-R土壤湿度反演方法. 测绘学报, 51(9):1942-1950.
- [5] Qu, Xiaochuan, Ding, Wenwu, Teferle, Felix Norman, Yuan, Yunbin, Tao, Tingye, Zhu, Yongchao, & Li, Shuiping. (2022). Improved height correction model for hydrostatic mapping functions in GNSS data processing. Journal of Geodesy, 96(12), 99.
- [6] Zhu, Y.*, Tao, T., Li, J., Yu, K., Wang, L., Qu, X., Li, S., Semmling, M., & Wickert, J. (2021) Spaceborne GNSS-R for Sea Ice Classification Using Machine Learning Classifiers, Remote Sensing, 2021, 13(22), 4577.
- [7] Zhu, Y.*, Tao, T., Zou, J., Yu, K., Wickert, J., & Semmling, M. (2021). Spaceborne GNSS reflectometry for retrieving sea ice concentration using TDS-1 data. IEEE Geoscience and Remote Sensing Letters, 18(4), 612-616.
- [8] Zhu, Y., Tao, T., Yu, K., Qu, X., Li, S., Wickert, J., Semmling, M. (2020). Machine Learning-Aided Sea Ice Monitoring Using Feature Sequences Extracted from Spaceborne GNSS-Reflectometry Data. Remote Sensing, 12, 3751.
- [9] Zhu, Y.*, Tao, T., Yu, K., Li, Z., Qu, X., Ye, Z., ... & Wickert, J. (2020). Sensing sea ice based on Doppler spread analysis of spaceborne GNSS-R data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 217-226.
- [10] Zhu, Y., Yu, K., Zou, J., & Wickert, J. (2017). Sea ice detection based on differential Delay-Doppler maps from UK TechDemoSat-1. Sensors, 17(7), 1614.
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