14 citations as recorded by crossref.

1. The Importance of Spatial Variability in Estimating Evapotranspiration From a Subalpine Wetland S. Chau et al. https://doi.org/10.1002/hyp.70451
2. Review of Crop Phenotyping in Field Plot Experiments Using UAV-Mounted Sensors and Algorithms T. Tanaka et al. https://doi.org/10.3390/drones8060212
3. Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing A. Vafaeinejad et al. https://doi.org/10.1109/JSTARS.2025.3585779
4. Independent estimates of net carbon uptake in croplands: UAV-LiDAR and machine learning vs. eddy covariance J. Revenga et al. https://doi.org/10.1016/j.agrformet.2024.110106
5. Diurnal and Seasonal Mapping of Water Deficit Index and Evapotranspiration by an Unmanned Aerial System: A Case Study for Winter Wheat in Denmark V. Antoniuk et al. https://doi.org/10.3390/rs13152998
6. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. https://doi.org/10.1029/2021WR029925
7. Technology and Data Fusion Methods to Enhance Site-Specific Crop Monitoring U. Ahmad et al. https://doi.org/10.3390/agronomy12030555
8. Understanding spatio-temporal complexity of vegetation using drones, what could we improve? J. Müllerová et al. https://doi.org/10.1016/j.jenvman.2024.123656
9. Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö. Baydaroğlu & I. Demir https://doi.org/10.2166/hydro.2024.235
10. An Inverse Modeling Approach for Retrieving High-Resolution Surface Fluxes of Greenhouse Gases from Measurements of Their Concentrations in the Atmospheric Boundary Layer I. Mukhartova et al. https://doi.org/10.3390/rs16132502
11. Integrating Remotely Sensed Thermal Observations for Calibration of Process-Based Land-Surface Models: Accuracy, Revisit Windows, and Implications in a Dryland Ecosystem A. Riba et al. https://doi.org/10.3390/rs17213630
12. Quantifying carbon budget, crop yields and their responses to environmental variability using the ecosys model for U.S. Midwestern agroecosystems W. Zhou et al. https://doi.org/10.1016/j.agrformet.2021.108521
13. Estimating Fine‐Scale Transpiration From UAV‐Derived Thermal Imagery and Atmospheric Profiles B. Morgan & K. Caylor https://doi.org/10.1029/2023WR035251
14. Biophysical constraints on evapotranspiration partitioning for a conductance-based two source energy balance model J. Bu et al. https://doi.org/10.1016/j.jhydrol.2021.127179