12 citations as recorded by crossref.

1. An ensemble data assimilation approach to improve farm-scale actual evapotranspiration estimation P. Deb et al. 10.1016/j.agrformet.2022.108982
2. Regional Assessment of Soil Moisture Active Passive Enhanced L3 Soil Moisture Product and Its Application in Agriculture L. Zhu et al. 10.3390/rs16071225
3. Flood Hazard Assessment in Australian Tropical Cyclone-Prone Regions M. Kaspi & Y. Kuleshov 10.3390/cli11110229
4. Detecting groundwater dependence and woody vegetation restoration with NDVI and moisture trend analyses in an Indonesian karst savanna P. Godwin et al. 10.3389/frsen.2024.1280712
5. Impacts of Spatiotemporal Gaps in Satellite Soil Moisture Data on Hydrological Data Assimilation K. Mohammed et al. 10.3390/w15020321
6. A Kalman Filter-Based Method for Reconstructing GMS-5 Land Surface Temperature Time Series R. Qin et al. 10.3390/app12157414
7. Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale X. Xing et al. 10.3390/rs15030676
8. Geodetic first order data assimilation using an extended Kalman filtering technique I. Kalu et al. 10.1007/s12145-022-00869-6
9. Improving continental hydrological models for future climate conditions via multi-objective optimisation W. Sharples et al. 10.1016/j.envsoft.2024.106018
10. Spatio‐Temporal Model Variance‐Covariance Approach to Assimilating Streamflow Observations Into a Distributed Landscape Water Balance Model S. Tian et al. 10.1029/2021WR031649
11. Development and preliminary validation of a land surface image assimilation system based on the Common Land Model W. Shen et al. 10.5194/gmd-17-3447-2024
12. The effects of satellite soil moisture data on the parametrization of topsoil and root zone soil moisture in a conceptual hydrological model M. Kuban et al. 10.2478/johh-2022-0021