11 citations as recorded by crossref.

1. Downscaling Analysis of Remote Sensing Data Products Incorporating Physical Mechanisms Across Different Slope Positions in the New South Wales Catchment, Australia Y. Li et al. https://doi.org/10.3390/rs18081230
2. Evaluation of the accuracy and response to recorded irrigation events of remote sensing and reanalysis soil moisture products in a typical irrigation district R. Zhu et al. https://doi.org/10.1016/j.agwat.2026.110822
3. Improving surface soil moisture estimates across Canada using reanalysis, in-situ observations, and machine learning N. Kanda & C. Fletcher https://doi.org/10.1016/j.ecoinf.2026.103940
4. The influence of spring soil moisture on flood runoff in forest and grassland basins of the Haihe river mountainous region W. Tan et al. https://doi.org/10.1016/j.ejrh.2026.104026
5. Blended Soil Moisture Across the Qinghai-Tibetan Plateau Using Triple Collocation Based on Reanalysis Datasets X. Zhang et al. https://doi.org/10.3390/w18101196
6. Delayed Vegetation Greenness Response to Compound Flash Drought–Heatwave Extremes J. Liu et al. https://doi.org/10.3390/agriculture16131468
7. Integrating Fourier-derived temporal features from multi-year vegetation and soil moisture time series enhances soil organic matter mapping C. Yang et al. https://doi.org/10.1016/j.geoderma.2026.118010
8. Soil moisture information in Southeast Australia – A review of long-term field measurements toward enhanced monitoring and predictive applications I. Senanayake et al. https://doi.org/10.1016/j.geodrs.2026.e01132
9. Integrated geospatial and hydrological approach for modeling and forecasting to detect crop water stress in Laos K. Phommavong et al. https://doi.org/10.1080/10095020.2026.2706341
10. Seasonal differentiation and drivers of vertical soil moisture variation in farmland of the middle Heihe River W. Li et al. https://doi.org/10.3389/feart.2026.1880109
11. Impact Pathways of Environmental Factors on the Spatiotemporal Variations in Surface Soil Moisture in Tianshan Mountains, China D. Liu et al. https://doi.org/10.3390/agriculture16070736