13 citations as recorded by crossref.

1. Investigating hydrological modeling uncertainties in the Mediterranean region by combining precipitation and soil moisture products V. Sivelle et al. https://doi.org/10.1016/j.ejrh.2025.103015
2. Defining a Trade-off Between Spatial and Temporal Resolution of a Geosynchronous SAR Mission for Soil Moisture Monitoring L. Cenci et al. https://doi.org/10.3390/rs10121950
3. Soil moisture retrieval from Sentinel-1: Lessons learned after more than a decade in orbit M. Rahmati et al. https://doi.org/10.1016/j.rse.2025.115146
4. A Complete Meteo/Hydro/Hydraulic Chain Application to Support Early Warning and Monitoring Systems: The Apollo Medicane Use Case M. Lagasio et al. https://doi.org/10.3390/rs14246348
5. Surface Moisture and Vegetation Cover Analysis for Drought Monitoring in the Southern Kruger National Park Using Sentinel-1, Sentinel-2, and Landsat-8 M. Urban et al. https://doi.org/10.3390/rs10091482
6. Improving parameter regionalization learning for spatialized differentiable hydrological models by assimilation of satellite-based soil moisture data M. Ettalbi et al. https://doi.org/10.1016/j.jhydrol.2025.133300
7. Assimilation of Sentinel 1 and SMAP – based satellite soil moisture retrievals into SWAT hydrological model: the impact of satellite revisit time and product spatial resolution on flood simulations in small basins S. Azimi et al. https://doi.org/10.1016/j.jhydrol.2019.124367
8. FLOMPY: An Open-Source Toolbox for Floodwater Mapping Using Sentinel-1 Intensity Time Series K. Karamvasis & V. Karathanassi https://doi.org/10.3390/w13212943
9. Remote Sensing Methods for Flood Prediction: A Review H. Munawar et al. https://doi.org/10.3390/s22030960
10. Recent Advances in Real-Time Pluvial Flash Flood Forecasting A. Zanchetta & P. Coulibaly https://doi.org/10.3390/w12020570
11. Soil moisture content retrieval over meadows from Sentinel-1 and Sentinel-2 data using physically based scattering models H. Benninga et al. https://doi.org/10.1016/j.rse.2022.113191
12. Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.132395
13. Impacts of Spatiotemporal Gaps in Satellite Soil Moisture Data on Hydrological Data Assimilation K. Mohammed et al. https://doi.org/10.3390/w15020321