55 citations as recorded by crossref.

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4. Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods M. Cheng et al. 10.1016/j.ejrh.2022.101057
5. A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020 S. He et al. 10.5194/essd-14-5463-2022
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7. STEEP: A remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests U. Bezerra et al. 10.1016/j.agrformet.2023.109408
8. The comparison between single-point method and footprint-integrated validation method of the remote-sensing retrieval of evapotranspiration: a case study at Daman site Y. Zhou et al. 10.1080/01431161.2024.2412803
9. Assessing wheat crop water productivity for sustainable agricultural water management in diverse agro-climatic regions of Uttarakhand, India P. Singh & K. Kothari 10.1016/j.indic.2025.100738
10. Spatiotemporal variation in rice evapotranspiration under the influence of rice expansion: a case study in the Sanjiang Plain, Northeast China Y. Li et al. 10.1007/s10333-024-00983-9
11. Estimation of Evapotranspiration and Soil Water Content at a Regional Scale Using Remote Sensing Data H. Chen et al. 10.3390/w14203283
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15. Estimating water use efficiency in maize: a UAV-based approach integrating multisensory data with SEBAL evapotranspiration modeling W. Chang et al. 10.1016/j.compag.2025.110695
16. Paddy Field Scale Evapotranspiration Estimation Based on Two-Source Energy Balance Model with Energy Flux Constraints and UAV Multimodal Data T. Wu et al. 10.3390/rs17101662
17. Comparative Trend Variability Analysis of Reference Evapotranspiration in Bangladesh Using Multiple Trend Detection Approaches R. Dia et al. 10.1007/s00704-024-05044-z
18. A gridded dataset of consumptive water footprints, evaporation, transpiration, and associated benchmarks related to crop production in China during 2000–2018 W. Wang et al. 10.5194/essd-15-4803-2023
19. Temporal Upscaling of Agricultural Evapotranspiration with an Improved Evaporative Fraction Method J. Wei et al. 10.3390/rs17061016
20. Identification of the dominant factors and altitudinal variation in water use efficiency in the Qinling–Daba Mountains T. Zhao et al. 10.1016/j.ecolind.2024.111626
21. Two improved shuttleworth-wallace models for estimating consecutive daily evapotranspiration J. Zhao et al. 10.1016/j.agrformet.2025.110498
22. The Dynamics of Vegetation Evapotranspiration and Its Response to Surface Meteorological Factors in the Altay Mountains, Northwest China A. Aili et al. 10.3390/su16198608
23. Estimating the Actual Evapotranspiration Using Remote Sensing and SEBAL Model in an Arid Environment of Northwest China X. Chen et al. 10.3390/w15081555
24. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. 10.1080/01431161.2023.2240523
25. Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
26. MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al. 10.1016/j.rse.2024.114000
27. geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America B. Comini de Andrade et al. 10.1016/j.isprsjprs.2023.12.001
28. Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
29. Effect of urbanization on energy balance and evapotranspiration in an Amazon–Cerrado transition region in Brazil J. Pinheiro et al. 10.1117/1.JRS.16.044516
30. Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020 J. Bai et al. 10.3390/rs15184522
31. A Comparative Analysis of Different Algorithms for Estimating Evapotranspiration with Limited Observation Variables: A Case Study in Beijing, China D. Sun et al. 10.3390/rs17040636
32. A framework of crop water productivity estimation from UAV observations: A case study of summer maize M. Cheng et al. 10.1016/j.agwat.2025.109621
33. A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data G. Zhao et al. 10.1109/JSTARS.2024.3492033
34. Using Remote Sensing to Quantify the Joint Effects of Climate and Land Use/Land Cover Changes on the Caatinga Biome of Northeast Brazilian A. Jardim et al. 10.3390/rs14081911
35. Using the SEBAL Model to Assess Evapotranspiration and Water Consumption in the Berrechid Plain, Morocco M. Merdas et al. 10.1007/s12524-025-02284-y
36. Simulating critical nutrient loadings of regime shift in the shallow plateau Lake Dianchi D. Wu et al. 10.1016/j.ecolmodel.2024.110689
37. Critical soil moisture detection and water–energy limit shift attribution using satellite-based water and carbon fluxes over China Y. Liu et al. 10.5194/hess-29-1241-2025
38. On the importance of plant phenology in the evaporative process of a semi-arid woodland: could it be why satellite-based evaporation estimates in the miombo differ? H. Zimba et al. 10.5194/hess-28-3633-2024
39. Non-destructive method using UAVs for high-throughput water productivity assessment for winter wheat cultivars N. Liu et al. 10.1016/j.agwat.2025.109526
40. A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement L. Yu et al. 10.5194/essd-14-3673-2022
41. Environmental impacts and carbon reduction benefits of mining photovoltaic systems: A case study of Ningdong coal base Y. Zhang et al. 10.1016/j.jclepro.2025.145650
42. Simulation and Assessment of Daily Evapotranspiration in the Heihe River Basin over a Long Time Series Based on TSEB-SM S. Tao et al. 10.3390/rs16030462
43. Evaluating the added value of multi-variable calibration of SWAT with remotely sensed evapotranspiration data for improving hydrological modeling S. Shah et al. 10.1016/j.jhydrol.2021.127046
44. Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize M. Cheng et al. 10.1016/j.agwat.2023.108442
45. Combination of Multiple Variables and Machine Learning for Regional Cropland Water and Carbon Fluxes Estimation: A Case Study in the Haihe River Basin M. Cheng et al. 10.3390/rs16173280
46. Quantifying Long-Term Spatiotemporal Variation in and Drivers of the Surface Daytime Urban Heat Island Effect in Major Chinese Cities: Perspectives from Different Climate Zones M. Zheng et al. 10.3390/ijgi14070239
47. Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions W. Fu et al. 10.1109/JSTARS.2025.3539822
48. Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods M. Shao et al. 10.1016/j.compag.2023.108029
49. The spatial-temporal changes in water balance components under future climate change in the Gorganroud Watershed, Iran G. Hossein et al. 10.1016/j.watcyc.2025.02.003
50. Seamless terrestrial evapotranspiration estimation by machine learning models across the Contiguous United States Y. Zhao et al. 10.1016/j.ecolind.2024.112203
51. Comparing field-scale eddy covariance measurements and crop coefficient estimates of alfalfa evapotranspiration to OpenET model estimates and exploring water budget implications in a dryland environment L. Sabiston et al. 10.1007/s00271-024-00941-7
52. Analysis of Spatial and Temporal Variations in Evapotranspiration and Its Driving Factors Based on Multi-Source Remote Sensing Data: A Case Study of the Heihe River Basin X. Li et al. 10.3390/rs16152696
53. Improve food, water, and economic benefits in China’s oases through crop switching P. Chen et al. 10.1016/j.jag.2024.103946
54. Urbanization-induced impacts on heat-energy fluxes in tropical South America from 1984 to 2020: The Metropolitan Area of Rio de Janeiro/Brazil V. Miranda et al. 10.1016/j.buildenv.2022.109008
55. Multi-scale spatial analysis of satellite-retrieved surface evapotranspiration in Beijing, a rapidly urbanizing region under continental monsoon climate R. Liu et al. 10.1007/s11356-022-23580-x