Paper Publications
Release time: 2026-01-20Hits:
- Impact Factor:2.8
- Journal:Advances in Space Research
- Document Type:J
- Translation or Not:no
- Date of Publication:2026-01-01
- Included Journals:SCI
- Links to published journals:https://www.sciencedirect.com/science/article/pii/S0273117725013079
- Pre One: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
- Next One:Song, Shenjia, Zhu, Yongchao*, Qu, Xiaochuan, & Tao, Tingye. Spaceborne GNSS-R for sensing soil moisture using CYGNSS considering land cover type.
MOBILE Version