78 citations as recorded by crossref.

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23. Evaporation estimates using weather station data and boundary layer theory P. Gentine et al. 10.1002/2016GL070819
24. Impact of the Revisit of Thermal Infrared Remote Sensing Observations on Evapotranspiration Uncertainty—A Sensitivity Study Using AmeriFlux Data P. Guillevic et al. 10.3390/rs11050573
25. Impact of advection on two-source energy balance (TSEB) canopy transpiration parameterization for vineyards in the California Central Valley W. Kustas et al. 10.1007/s00271-022-00778-y
26. Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China H. Yan et al. 10.1016/j.agwat.2022.107464
27. ERTFM: An Effective Model to Fuse Chinese GF-1 and MODIS Reflectance Data for Terrestrial Latent Heat Flux Estimation L. Zhang et al. 10.3390/rs13183703
28. Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing M. Anderson et al. 10.3390/rs10060889
29. Estimation of daily evapotranspiration and irrigation water efficiency at a Landsat-like scale for an arid irrigation area using multi-source remote sensing data Y. Ma et al. 10.1016/j.rse.2018.07.019
30. Droughts impede water balance recovery from fires in the Western United States S. Ahmad et al. 10.1038/s41559-023-02266-8
31. High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region J. Yan et al. 10.3390/land10040396
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34. Mapping Daily Evapotranspiration at Field Scale Using the Harmonized Landsat and Sentinel-2 Dataset, with Sharpened VIIRS as a Sentinel-2 Thermal Proxy J. Xue et al. 10.3390/rs13173420
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37. Assessment of the clumped model to estimate olive orchard evapotranspiration using meteorological data and UAV-based thermal infrared imagery C. Riveros-Burgos et al. 10.1007/s00271-020-00716-w
38. Accurate estimates of land surface energy fluxes and irrigation requirements from UAV-based thermal and multispectral sensors J. Peng et al. 10.1016/j.isprsjprs.2023.03.009
39. A drought indicator reflecting ecosystem responses to water availability: The Normalized Ecosystem Drought Index K. Chang et al. 10.1016/j.agrformet.2017.12.001
40. Two-source energy balance modeling of evapotranspiration in Alpine grasslands M. Castelli et al. 10.1016/j.rse.2018.02.062
41. A Comparison of Different Machine Learning Methods to Reconstruct Daily Evapotranspiration Time Series Estimated by Thermal–Infrared Remote Sensing G. Zhao et al. 10.3390/rs16030509
42. Remote sensing products for predicting actual evapotranspiration and water stress footprints under different land cover M. Jahangir & M. Arast 10.1016/j.jclepro.2020.121818
43. 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
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45. Influence of modeling domain and meteorological forcing data on daily evapotranspiration estimates from a Shuttleworth–Wallace model using Sentinel-2 surface reflectance data N. Bhattarai et al. 10.1007/s00271-022-00768-0
46. Combining Evapotranspiration and Soil Apparent Electrical Conductivity Mapping to Identify Potential Precision Irrigation Benefits M. Nocco et al. 10.3390/rs11212460
47. Evaluation of the temporal reconstruction methods for MODIS-based continuous daily actual evapotranspiration estimation X. Hu et al. 10.1016/j.agwat.2022.107991
48. The accuracy of temporal upscaling of instantaneous evapotranspiration to daily values with seven upscaling methods Z. Liu 10.5194/hess-25-4417-2021
49. Utility of Copernicus-Based Inputs for Actual Evapotranspiration Modeling in Support of Sustainable Water Use in Agriculture R. Guzinski et al. 10.1109/JSTARS.2021.3122573
50. Assessment of upscaling methodologies for daily crop transpiration using sap flows and two-source energy balance models in almonds under different water statuses and production systems M. Quintanilla-Albornoz et al. 10.5194/hess-28-4797-2024
51. Methods to estimate daily evapotranspiration from hourly evapotranspiration B. Zhang et al. 10.1016/j.biosystemseng.2016.11.008
52. Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwestern United States R. Singh & G. Senay 10.3390/w8010009
53. Accuracy comparison of remotely sensed evapotranspiration products and their associated water stress footprints under different land cover types in Korean peninsula U. Liaqat & M. Choi 10.1016/j.jclepro.2016.09.022
54. Impact of Insolation Data Source on Remote Sensing Retrievals of Evapotranspiration over the California Delta M. Anderson et al. 10.3390/rs11030216
55. Performance of the SSEBop model in the estimation of the actual evapotranspiration of soybean and bean crops A. Paula et al. 10.1590/s1678-3921.pab2019.v54.00739
56. Evaluation of OSEB and SEBAL models for energy balance of a crop area in a humid subtropical climate J. Schirmbeck et al. 10.1590/1678-4499.2017208
57. Analysis and forecast of crop water demand in irrigation districts across the eastern part of the Ebro river basin (Catalonia, Spain): estimation of evapotranspiration through copernicus-based inputs J. Bellvert et al. 10.1007/s00271-024-00971-1
58. Estimating annual water storage variations in medium-scale (2000–10 000 km<sup>2</sup>) basins using microwave-based soil moisture retrievals W. Crow et al. 10.5194/hess-21-1849-2017
59. Modeling Evapotranspiration at Larger Temporal Scales: Effects of Temporal Aggregation and Data Gaps K. Athira et al. 10.3390/rs14174142
60. A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay 10.3390/agronomy10010140
61. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales M. Anderson et al. 10.1016/j.rse.2020.112189
62. Upscaling evapotranspiration from the instantaneous to the daily time scale: Assessing six methods including an optimized coefficient based on worldwide eddy covariance flux network L. Jiang et al. 10.1016/j.jhydrol.2021.126135
63. Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach K. Semmens et al. 10.1016/j.rse.2015.10.025
64. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. 10.1016/j.agrformet.2024.109951
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68. Daily Actual Evapotranspiration Estimation in a Mediterranean Ecosystem from Landsat Observations Using SEBAL Approach H. Awada et al. 10.3390/f12020189
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72. Resolve the Clear‐Sky Continuous Diurnal Cycle of High‐Resolution ECOSTRESS Evapotranspiration and Land Surface Temperature J. Wen et al. 10.1029/2022WR032227
73. Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley F. Chen et al. 10.1007/s00271-022-00789-9
74. Understanding Drainage Dynamics and Irrigation Management in a Semi-Arid Mediterranean Basin V. Altés et al. 10.3390/w15010016
75. A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin X. Li et al. 10.3390/rs16122143
76. Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes T. Xia et al. 10.5194/hess-20-1523-2016
77. Assessment of a Remote Sensing Energy Balance Methodology (SEBAL) Using Different Interpolation Methods to Determine Evapotranspiration in a Citrus Orchard M. Jimenez-Bello et al. 10.1109/JSTARS.2015.2418817
78. Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin M. Yilmaz et al. 10.1002/2013WR014194