| Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges B Li, M Rodell, S Kumar, HK Beaudoing, A Getirana, BF Zaitchik, ... Water Resources Research 55 (9), 7564-7586, 2019 | 108 | 2019 |
| Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals S Tian, P Tregoning, LJ Renzullo, AIJM van Dijk, JP Walker, ... Water Resources Research 53 (3), 1820-1840, 2017 | 93 | 2017 |
| Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests MA Tanase, R Panciera, K Lowell, S Tian, JM Hacker, JP Walker Remote Sensing of Environment 145, 93-104, 2014 | 61 | 2014 |
| Evaluation of groundwater storage variations estimated from GRACE data assimilation and state-of-the-art land surface models in Australia and the North China Plain N Tangdamrongsub, SC Han, S Tian, H Müller Schmied, EH Sutanudjaja, ... Remote Sensing 10 (3), 483, 2018 | 36 | 2018 |
| Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals T Hu, LJ Renzullo, AIJM van Dijk, J He, S Tian, Z Xu, J Zhou, T Liu, Q Liu Remote Sensing of Environment 236, 111419, 2020 | 31 | 2020 |
| Sensitivity of L-band radar backscatter to forest biomass in semiarid environments: a comparative analysis of parametric and nonparametric models MA Tanase, R Panciera, K Lowell, S Tian, A Garcia-Martin, JP Walker IEEE Transactions on Geoscience and Remote Sensing 52 (8), 4671-4685, 2013 | 29 | 2013 |
| Forecasting dryland vegetation condition months in advance through satellite data assimilation S Tian, AIJM Van Dijk, P Tregoning, LJ Renzullo Nature communications 10 (1), 1-7, 2019 | 25 | 2019 |
| Global joint assimilation of GRACE and SMOS for improved estimation of root-zone soil moisture and vegetation response S Tian, LJ Renzullo, AIJM Van Dijk, P Tregoning, JP Walker Hydrology and Earth System Sciences 23 (2), 1067-1081, 2019 | 24 | 2019 |
| On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations T Hu, AIJM van Dijk, LJ Renzullo, Z Xu, J He, S Tian, J Zhou, H Li International Journal of Applied Earth Observation and Geoinformation 91, 102153, 2020 | 10 | 2020 |
| Spatio-temporal evaluation of water storage trends from hydrological models over Australia using GRACE mascon solutions X Yang, S Tian, W Feng, J Ran, W You, Z Jiang, X Gong Remote Sensing 12 (21), 3578, 2020 | 10 | 2020 |
| Forecasting dryland vegetation condition months in advance through satellite data assimilation, Nat. Commun., 10, 469 S Tian, A Van Dijk, P Tregoning, LJ Renzullo | 5 | 2019 |
| Forest biomass estimation using radar and LiDAR synergies S Tian, MA Tanase, R Panciera, J Hacker, K Lowell 2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, 2145 …, 2013 | 5 | 2013 |
| Satellite soil moisture data assimilation for improved operational continental water balance prediction S Tian, LJ Renzullo, RC Pipunic, J Lerat, W Sharples, C Donnelly Hydrology and Earth System Sciences 25 (8), 4567-4584, 2021 | 3 | 2021 |
| Reconstruction of continuous GRACE/GRACE-FO terrestrial water storage anomalies based on time series decomposition X Yang, S Tian, W You, Z Jiang Journal of Hydrology 603, 127018, 2021 | 2 | 2021 |
| Satellite soil moisture data assimilation for improved operational continental water balance prediction S Tian, LJ Renzullo, RC Pipunic, J Lerat, W Sharples, C Donnelly Hydrology and Earth System Sciences Discussions 2020, 1-26, 2020 | 1 | 2020 |
| Operational soil moisture data assimilation for improved continental water balance prediction S Tian, LJ Renzullo, RC Pipunic, J Lerat, W Sharples, C Donnelly | 1 | 2020 |
| Corrigendum to" Monitoring agricultural drought in Australia using MTSAT-2 land surface temperature retrievals"[Remote Sens. Environ. 236 (January 2020) 111419] T Hu, LJ Renzullo, AIJM van Dijk, J He, S Tian, Z Xu, J Zhou, T Liu, Q Liu Remote Sensing of Environment 239, 111661, 2020 | 1 | 2020 |
| Monitoring and forecasting drought through the assimilation of satellite water observations S Tian The Australian National University, 2018 | 1 | 2018 |
| Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S Tian, LJ Renzullo, J Lerat, RC Pipunic Water Resources Research 58 (4), e2021WR031649, 2022 | | 2022 |
| Continental scale downscaling of AWRA-L analysed soil moisture using random forest regression Y Yu, L Renzullo, S Tian Modelling and Simulation Society of Australia and New Zealand (MSSANZ), 2021 | | 2021 |
Luigi RenzulloSenior Research Fellow, ANUVerified email at anu.edu.au
