32 citations as recorded by crossref.

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2. Spatial and temporal forecasting of groundwater anomalies in complex aquifer undergoing climate and land use change A. Talib et al. https://doi.org/10.1016/j.jhydrol.2024.131525
3. Widespread underestimation of ecosystem water use efficiency in CMIP6 models D. Li & S. Wang https://doi.org/10.1016/j.jhydrol.2024.132558
4. Challenges and opportunities in precision irrigation decision-support systems for center pivots J. Zhang et al. https://doi.org/10.1088/1748-9326/abe436
5. A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion C. Zhang et al. https://doi.org/10.1016/j.rse.2021.112519
6. A Global Implementation of Single‐ and Dual‐Source Surface Energy Balance Models for Estimating Actual Evapotranspiration at 30‐m Resolution Using Google Earth Engine H. Jaafar et al. https://doi.org/10.1029/2022WR032800
7. A flexible and efficient knowledge-guided machine learning data assimilation (KGML-DA) framework for agroecosystem prediction in the US Midwest Q. Yang et al. https://doi.org/10.1016/j.rse.2023.113880
8. Evaluation of average leaf inclination angle quantified by indirect optical instruments in crop fields K. Li et al. https://doi.org/10.1016/j.jag.2024.104206
9. Combining Remotely Sensed Evapotranspiration and an Agroecosystem Model to Estimate Center‐Pivot Irrigation Water Use at High Spatio‐Temporal Resolution J. Zhang et al. https://doi.org/10.1029/2022WR032967
10. Canopy resistance-based modeling of maize evapotranspiration in Heilongjiang Province: a multi-site assessment integrating Sentinel-2 data and ground observations B. Wang et al. https://doi.org/10.1016/j.jhydrol.2026.135462
11. Incorporating changes in land surface temperature improves BESS evapotranspiration estimates under water-deficit conditions: A case study for US Midwest and Great Plains grasslands X. Lu et al. https://doi.org/10.1016/j.jhydrol.2024.132201
12. An upscaling approach for estimating field-level irrigation water use through the Budyko framework J. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133785
13. Soil and environmental issues in sandy soils J. Huang & A. Hartemink https://doi.org/10.1016/j.earscirev.2020.103295
14. Sustainable irrigation based on co-regulation of soil water supply and atmospheric evaporative demand J. Zhang et al. https://doi.org/10.1038/s41467-021-25254-7
15. GPP-net: a robust high-resolution GPP estimation network for Sentinel-2 using only surface reflectance and photosynthetically active radiation S. Wang et al. https://doi.org/10.1016/j.rse.2025.115198
16. Connections between the hydrological cycle and crop yield in the rainfed U.S. Corn Belt W. Zhou et al. https://doi.org/10.1016/j.jhydrol.2020.125398
17. CubeSats deliver new insights into agricultural water use at daily and 3 m resolutions B. Aragon et al. https://doi.org/10.1038/s41598-021-91646-w
18. Mapping actual evapotranspiration using Landsat for the conterminous United States: Google Earth Engine implementation and assessment of the SSEBop model G. Senay et al. https://doi.org/10.1016/j.rse.2022.113011
19. Assessment of global gridded transpiration products using the extended instrumental variable technique (EIVD) C. Li et al. https://doi.org/10.1016/j.jhydrol.2023.129880
20. Estimating Near Real-Time Hourly Evapotranspiration Using Numerical Weather Prediction Model Output and GOES Remote Sensing Data in Iowa W. S. Ha et al. https://doi.org/10.3390/rs12142337
21. CAMELE: Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration Data C. Li et al. https://doi.org/10.5194/essd-16-1811-2024
22. Assessing Different Plant‐Centric Water Stress Metrics for Irrigation Efficacy Using Soil‐Plant‐Atmosphere‐Continuum Simulation J. Zhang et al. https://doi.org/10.1029/2021WR030211
23. Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S. Jeong et al. https://doi.org/10.1016/j.rse.2022.113365
24. Evaluation and comparison of OpenET models for estimating soil water depletion of irrigated alfalfa in Arizona S. Attalah et al. https://doi.org/10.1016/j.agwat.2025.109850
25. Actual evapotranspiration estimation and applicability assessment based on the Y-SEBAL model in China Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2025.133476
26. Estimation of crop evapotranspiration from MODIS data by combining random forest and trapezoidal models P. Hao et al. https://doi.org/10.1016/j.agwat.2021.107249
27. A daily, 250 m and real-time gross primary productivity product (2000–present) covering the contiguous United States C. Jiang et al. https://doi.org/10.5194/essd-13-281-2021
28. A hybrid deep learning framework for solar irradiation prediction based on regional satellite images and data M. Attya et al. https://doi.org/10.1007/s00521-025-11197-3
29. Multiscale evaluation of three remote sensing-based evapotranspiration models across the humid to arid tropics: a study over India K. Athira et al. https://doi.org/10.1080/02626667.2025.2541749
30. Enhancing the Application of Earth Observations for Improved Environmental Decision-Making Using the Early Warning eXplorer (EWX) S. Shukla et al. https://doi.org/10.3389/fclim.2020.583509
31. Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape J. Kong et al. https://doi.org/10.1016/j.agrformet.2020.108255
32. Mapping crop evapotranspiration with high-resolution imagery and meteorological data: insights into sustainable agriculture in Prince Edward Island F. Imtiaz et al. https://doi.org/10.3389/frsen.2023.1274019