40 citations as recorded by crossref.

1. Evaluating the Potential of Different Evapotranspiration Datasets for Distributed Hydrological Model Calibration X. Guo et al. 10.3390/rs14030629
2. Impacts of climatic zones on urban heat island: Spatiotemporal variations, trends, and drivers in China from 2001–2020 X. Geng et al. 10.1016/j.scs.2022.104303
3. 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
4. Estimation of Actual Evapotranspiration and Water Stress in Typical Irrigation Areas in Xinjiang, Northwest China S. Zhao et al. 10.3390/rs16142676
5. Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin L. Tan et al. 10.3390/atmos12121599
6. Significant Disparity in Spatiotemporal Changes of Terrestrial Evapotranspiration across Reanalysis Datasets in China from 1982 to 2020 J. Bai et al. 10.3390/rs15184522
7. 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
8. 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
9. 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
10. Technical note: Investigating the potential for smartphone-based monitoring of evapotranspiration and land surface energy-balance partitioning A. Teuling et al. 10.5194/hess-28-3799-2024
11. 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
12. Simulating critical nutrient loadings of regime shift in the shallow plateau Lake Dianchi D. Wu et al. 10.1016/j.ecolmodel.2024.110689
13. 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
14. 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
15. 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
16. 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
17. Estimation of Evapotranspiration and Soil Water Content at a Regional Scale Using Remote Sensing Data H. Chen et al. 10.3390/w14203283
18. 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
19. Trends and Changes in Hydrologic Cycle in the Huanghuaihai River Basin from 1956 to 2018 X. Yang et al. 10.3390/w14142148
20. 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
21. Untangling the effects of climate change and land use/cover change on spatiotemporal variation of evapotranspiration over China X. Li et al. 10.1016/j.jhydrol.2022.128189
22. 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
23. 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
24. 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
25. Comparative Trend Variability Analysis of Reference Evapotranspiration in Bangladesh Using Multiple Trend Detection Approaches R. Dia et al. 10.1007/s00704-024-05044-z
26. 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
27. 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
28. 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
29. Seamless terrestrial evapotranspiration estimation by machine learning models across the Contiguous United States Y. Zhao et al. 10.1016/j.ecolind.2024.112203
30. 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
31. Estimating the Actual Evapotranspiration Using Remote Sensing and SEBAL Model in an Arid Environment of Northwest China X. Chen et al. 10.3390/w15081555
32. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. 10.1080/01431161.2023.2240523
33. Error characterization of global land evapotranspiration products: Collocation-based approach C. Li et al. 10.1016/j.jhydrol.2022.128102
34. 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
35. 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
36. MODIS-based modeling of evapotranspiration from woody vegetation supported by root-zone water storage G. Cui et al. 10.1016/j.rse.2024.114000
37. Improve food, water, and economic benefits in China’s oases through crop switching P. Chen et al. 10.1016/j.jag.2024.103946
38. 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
39. 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
40. 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