| Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm T Zhao, J Shi, D Entekhabi, TJ Jackson, L Hu, Z Peng, P Yao, S Li, ... Remote Sensing of Environment 257, 112321, 2021 | 115 | 2021 |
| Assessment of 24 soil moisture datasets using a new in situ network in the Shandian River Basin of China J Zheng, T Zhao, H Lü, J Shi, MH Cosh, D Ji, L Jiang, Q Cui, H Lu, K Yang, ... Remote Sensing of Environment 271, 112891, 2022 | 87 | 2022 |
| Soil moisture retrievals using L-band radiometry from variable angular ground-based and airborne observations T Zhao, L Hu, J Shi, H Lü, S Li, D Fan, P Wang, D Geng, CS Kang, ... Remote Sensing of Environment 248, 111958, 2020 | 45 | 2020 |
| A twenty-year dataset of soil moisture and vegetation optical depth from AMSR-E/2 measurements using the multi-channel collaborative algorithm L Hu, T Zhao, W Ju, Z Peng, J Shi, NJ Rodríguez-Fernández, ... Remote Sensing of Environment 292, 113595, 2023 | 23 | 2023 |
| First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry Z Peng, T Zhao, J Shi, L Hu, NJ Rodríguez-Fernández, JP Wigneron, ... Remote Sensing of Environment 302, 113970, 2024 | 9 | 2024 |
Tianjie Zhao (赵天杰)Aerospace Information Research Institute, Chinese Academy of SciencesBestätigte E-Mail-Adresse bei aircas.ac.cn