45 citations as recorded by crossref.

1. Optimizing Carbon Cycle Parameters Drastically Improves Terrestrial Biosphere Model Underestimates of Dryland Mean Net CO2 Flux and its Inter‐Annual Variability K. Mahmud et al. https://doi.org/10.1029/2021JG006400
2. Evaluation of Six Satellite-Based Soil Moisture Products Based on in situ Measurements in Hunan Province, Central China J. Fan et al. https://doi.org/10.3389/fenvs.2022.829046
3. A novel validation of satellite soil moisture using SM2RAIN-derived rainfall estimates S. Do et al. https://doi.org/10.3389/frsen.2024.1474088
4. Assessment of pluri-annual and decadal changes in terrestrial water storage predicted by global hydrological models in comparison with the GRACE satellite gravity mission J. Pfeffer et al. https://doi.org/10.5194/hess-27-3743-2023
5. Reconstructing the Historical Terrestrial Water Storage Variations in the Huang–Huai–Hai River Basin With Consideration of Water Withdrawals C. Yang et al. https://doi.org/10.3389/fenvs.2022.840540
6. Hydrological Control of Vegetation Greenness Dynamics in Africa: A Multivariate Analysis Using Satellite Observed Soil Moisture, Terrestrial Water Storage and Precipitation S. Ugbaje & T. Bishop https://doi.org/10.3390/land9010015
7. A planetary boundary for green water L. Wang-Erlandsson et al. https://doi.org/10.1038/s43017-022-00287-8
8. 土壤<bold>-</bold>植被<bold>-</bold>水文耦合过程与机制研究进展 中. 李 et al. https://doi.org/10.1360/N072021-0358
9. Surface Water Storage in Rivers and Wetlands Derived from Satellite Observations: A Review of Current Advances and Future Opportunities for Hydrological Sciences F. Papa & F. Frappart https://doi.org/10.3390/rs13204162
10. Evaluation of high-resolution meteorological data products using flux tower observations across Brazil J. Brown et al. https://doi.org/10.5194/hess-30-141-2026
11. The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. https://doi.org/10.5194/hess-25-5749-2021
12. Modelling Floodplain Vegetation Response to Groundwater Variability Using the ArcSWAT Hydrological Model, MODIS NDVI Data, and Machine Learning N. Muhury et al. https://doi.org/10.3390/land11122154
13. Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors H. Beck et al. https://doi.org/10.5194/hess-25-17-2021
14. Drone-Based Multispectral Remote Sensing Inversion for Typical Crop Soil Moisture under Dry Farming Conditions T. Qu et al. https://doi.org/10.3390/agriculture14030484
15. The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables Y. Xu et al. https://doi.org/10.1016/j.agrformet.2024.110299
16. Reconstructing Long-Term, High-Resolution Groundwater Storage Changes in the Songhua River Basin Using Supplemented GRACE and GRACE-FO Data C. Liu et al. https://doi.org/10.3390/rs16234566
17. A novel generative adversarial network and downscaling scheme for GRACE/GRACE-FO products: Exemplified by the Yangtze and Nile River Basins J. Wang et al. https://doi.org/10.1016/j.scitotenv.2025.178874
18. A global analysis of water storage variations from remotely sensed soil moisture and daily satellite gravimetry D. Blank et al. https://doi.org/10.5194/hess-27-2413-2023
19. Non-stationary drought assessment through integration of rainfall and GRACE-based terrestrial water storage data S. Bhere & M. Reddy https://doi.org/10.1016/j.jhydrol.2026.135623
20. Satellite soil moisture data assimilation for improved operational continental water balance prediction S. Tian et al. https://doi.org/10.5194/hess-25-4567-2021
21. A data-driven approach to generate past GRACE-like terrestrial water storage solution by calibrating the land surface model simulations W. Jing et al. https://doi.org/10.1016/j.advwatres.2020.103683
22. Detecting groundwater dependence and woody vegetation restoration with NDVI and moisture trend analyses in an Indonesian karst savanna P. Godwin et al. https://doi.org/10.3389/frsen.2024.1280712
23. Simulation of Vegetation Cover Based on the Theory of Ecohydrological Optimality in the Yongding River Watershed, China Y. Zhang et al. https://doi.org/10.3390/f12101377
24. Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning V. Döpper et al. https://doi.org/10.1016/j.jag.2022.102817
25. Assimilation of Satellite-Derived Soil Moisture and Brightness Temperature in Land Surface Models: A Review R. Khandan et al. https://doi.org/10.3390/rs14030770
26. Accuracy of ASCAT-DIREX Soil Moisture Mapping in a Small Alpine Catchment P. Sleziak et al. https://doi.org/10.3390/w17010049
27. High spatio-temporal resolution soil moisture nowcasting at multiple depths with data-driven approaches Y. Zhang et al. https://doi.org/10.1016/j.agwat.2025.109457
28. Retrieving soil moisture profiles based on multifrequency polarimetric radar backscattering observations. Theoretical case study K. Muzalevskiy https://doi.org/10.1080/01431161.2020.1809743
29. A comprehensive review on coupled processes and mechanisms of soil-vegetation-hydrology, and recent research advances Z. Li et al. https://doi.org/10.1007/s11430-021-9990-5
30. Making the Best Use of GRACE, GRACE‐FO and SMAP Data Through a Constrained Bayesian Data‐Model Integration N. Mehrnegar et al. https://doi.org/10.1029/2023WR034544
31. Retrieving root-zone soil moisture from land surface modelling and GRACE/-FO and validating its dynamics with in-situ data over West Africa L. Yap et al. https://doi.org/10.5194/hess-30-5023-2026
32. Correlations of the root–shoot ratio with soil water content in the patchy alpine grassland of the north‐eastern Qinghai–Tibetan Plateau using electrical resistivity tomography F. Zuo et al. https://doi.org/10.1002/eco.2593
33. Generation of root zone soil moisture from the integration of an all-weather satellite surface soil moisture estimates and an analytical model: A preliminary result in China Y. Wang et al. https://doi.org/10.1016/j.jhydrol.2024.132098
34. Optical and Thermal Remote Sensing for Monitoring Agricultural Drought Q. Qin et al. https://doi.org/10.3390/rs13245092
35. Evaluation of two new-generation global soil databases for macro-scale hydrological modelling in Norway S. Huang et al. https://doi.org/10.1016/j.jhydrol.2022.127895
36. A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses L. Karthikeyan et al. https://doi.org/10.1016/j.jhydrol.2020.124905
37. Improving the resolution of GRACE-based water storage estimates based on machine learning downscaling schemes W. Yin et al. https://doi.org/10.1016/j.jhydrol.2022.128447
38. Evaluating the Hydrological Components Contributions to Terrestrial Water Storage Changes in Inner Mongolia with Multiple Datasets Y. Guo et al. https://doi.org/10.3390/s23146452
39. Soil drying weakens the positive effect of climate factors on global gross primary production H. Chen et al. https://doi.org/10.1016/j.ecolind.2021.107953
40. Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India C. Pascal et al. https://doi.org/10.5194/hess-26-4169-2022
41. Impact of temporal precipitation variability on ecosystem productivity J. Liu et al. https://doi.org/10.1002/wat2.1481
42. The Suitability Assessment of Agricultural Drought Monitoring Indices: A Case Study in Inland River Basin W. Liu et al. https://doi.org/10.3390/agronomy13020469
43. Unravelling soil moisture uncertainties in GRACE groundwater modelling I. Kalu et al. https://doi.org/10.1016/j.jhydrol.2024.132489
44. Extending GRACE terrestrial water storage anomalies by combining the random forest regression and a spatially moving window structure W. Jing et al. https://doi.org/10.1016/j.jhydrol.2020.125239
45. Improved water storage estimates within the North China Plain by assimilating GRACE data into the CABLE model W. Yin et al. https://doi.org/10.1016/j.jhydrol.2020.125348