77 citations as recorded by crossref.

1. A simple temperature domain two‐source model for estimating agricultural field surface energy fluxes from Landsat images Y. Yao et al. https://doi.org/10.1002/2016JD026370
2. Detection of trend changes in surface energy budget caused by urbanization and land cover/use changes in Dezful plain, Iran A. Parbaleh & H. Kaboli https://doi.org/10.1007/s12665-023-10990-4
3. SEBAL-A: A Remote Sensing ET Algorithm that Accounts for Advection with Limited Data. Part I: Development and Validation M. Mkhwanazi et al. https://doi.org/10.3390/rs71115046
4. Modeling Surface Energy Fluxes over a Dehesa (Oak Savanna) Ecosystem Using a Thermal Based Two Source Energy Balance Model (TSEB) II—Integration of Remote Sensing Medium and Low Spatial Resolution Satellite Images A. Andreu et al. https://doi.org/10.3390/rs10040558
5. The accuracy of temporal upscaling of instantaneous evapotranspiration to daily values with seven upscaling methods Z. Liu https://doi.org/10.5194/hess-25-4417-2021
6. Evaporative fraction and its application in estimating daily evapotranspiration of water-saving irrigated rice field X. Liu et al. https://doi.org/10.1016/j.jhydrol.2019.124317
7. Combining Remotely Sensed Data and Ground-Based Radiometers to Estimate Crop Cover and Surface Temperatures at Daily Time Steps A. French et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000169
8. Urban outdoor water use and response to drought assessed through mobile energy balance and vegetation greenness measurements L. Liang et al. https://doi.org/10.1088/1748-9326/aa7b21
9. 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. https://doi.org/10.5194/hess-28-4797-2024
10. Impact of highway construction on land surface energy balance and local climate derived from LANDSAT satellite data V. Nedbal & J. Brom https://doi.org/10.1016/j.scitotenv.2018.03.220
11. Stomatal control of transpiration: Examination of the Jarvis‐type representation of canopy resistance in relation to humidity J. Lhomme https://doi.org/10.1029/2000WR900324
12. Spectral Behaviour of a Coupled Land-Surface and Boundary-Layer System P. Gentine et al. https://doi.org/10.1007/s10546-009-9433-z
13. Estimation of land surface water and energy balance parameters using conditional sampling of surface states L. Farhadi et al. https://doi.org/10.1002/2013WR014049
14. Using remotely sensed data to estimate area-averaged daily surface fluxes over a semi-arid mixed agricultural land C. Abdelghani et al. https://doi.org/10.1016/j.agrformet.2007.09.014
15. Analysis of evaporative fraction diurnal behaviour P. Gentine et al. https://doi.org/10.1016/j.agrformet.2006.11.002
16. Seasonal and Diurnal Variations in the Priestley–Taylor Coefficient for a Large Ephemeral Lake G. Gan et al. https://doi.org/10.3390/w12030849
17. Reconstruction of temporal variations of evapotranspiration using instantaneous estimates at the time of satellite overpass E. Delogu et al. https://doi.org/10.5194/hess-16-2995-2012
18. Calibration and validation of a remote sensing algorithm to estimate energy balance components and daily actual evapotranspiration over a drip-irrigated Merlot vineyard C. Poblete-Echeverría & S. Ortega-Farias https://doi.org/10.1007/s00271-012-0381-x
19. Methods to estimate daily evapotranspiration from hourly evapotranspiration B. Zhang et al. https://doi.org/10.1016/j.biosystemseng.2016.11.008
20. Environmental factors affecting the accuracy of surface fluxes from a two-source model in Mediterranean drylands: Upscaling instantaneous to daytime estimates L. Morillas et al. https://doi.org/10.1016/j.agrformet.2014.01.018
21. Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China H. Yan et al. https://doi.org/10.1016/j.agwat.2022.107464
22. On the Use of the Eddy Covariance Latent Heat Flux and Sap Flow Transpiration for the Validation of a Surface Energy Balance Model A. Maltese et al. https://doi.org/10.3390/rs10020195
23. Evaluation of Multiple Methods for the Production of Continuous Evapotranspiration Estimates from TIR Remote Sensing E. Delogu et al. https://doi.org/10.3390/rs13061086
24. Diagnosing evaporative fraction over land from boundary‐layer clouds P. Gentine et al. https://doi.org/10.1002/jgrd.50416
25. Benefits of high-resolution satellite evapotranspiration for agro-silvo-pastoral systems in the Sahel N. Farhani et al. https://doi.org/10.1016/j.srs.2026.100454
26. Analysis of Multispectral Drought Indices in Central Tunisia N. Farhani et al. https://doi.org/10.3390/rs14081813
27. Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models A. French et al. https://doi.org/10.1016/j.rse.2014.11.003
28. Improving time upscaling of instantaneous evapotranspiration based on machine learning models D. Yang et al. https://doi.org/10.1080/20964471.2024.2423431
29. Application of SEBAL Model for Mapping Evapotranspiration and Estimating Surface Energy Fluxes in South-Central Nebraska R. Singh et al. https://doi.org/10.1061/(ASCE)0733-9437(2008)134:3(273)
30. An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data B. Ait Hssaine et al. https://doi.org/10.5194/hess-24-1781-2020
31. Environmental and biological controls on the seasonal variations in latent heat fluxes derived from flux data for three forest sites K. Schulz & A. Jarvis https://doi.org/10.1029/2004WR003155
32. Biological and Environmental Controls on Evaporative Fractions at AmeriFlux Sites C. Zhou & K. Wang https://doi.org/10.1175/JAMC-D-15-0126.1
33. The importance of wetlands in the energy balance of an agricultural landscape H. Huryna et al. https://doi.org/10.1007/s11273-013-9334-2
34. A Simple Method to Disaggregate Passive Microwave-Based Soil Moisture O. Merlin et al. https://doi.org/10.1109/TGRS.2007.914807
35. Quantitative analysis of water balance components in Lake Urmia, Iran using remote sensing technology H. Mohebzadeh & M. Fallah https://doi.org/10.1016/j.rsase.2018.12.009
36. Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland Rice Productivity and Water Use Efficiency after Biochar Application H. Jin et al. https://doi.org/10.3390/rs13101866
37. Evapotranspiration modelling at large scale using near-real time MSG SEVIRI derived data N. Ghilain et al. https://doi.org/10.5194/hess-15-771-2011
38. Correcting for systematic error in satellite-derived latent heat flux due to assumptions in temporal scaling: Assessment from flux tower observations T. Van Niel et al. https://doi.org/10.1016/j.jhydrol.2011.08.011
39. Mitigation of Arctic Tundra Surface Warming by Plant Evapotranspiration: Complete Energy Balance Component Estimation Using LANDSAT Satellite Data V. Nedbal et al. https://doi.org/10.3390/rs12203395
40. Albedo changes after fire as an explanation of fire‐induced rainfall suppression M. Saha et al. https://doi.org/10.1002/2017GL073623
41. Vineyard evaporative fraction based on eddy covariance in an arid desert region of Northwest China S. Li et al. https://doi.org/10.1016/j.agwat.2008.03.005
42. Derivation of Daily Evaporative Fraction Based on Temporal Variations in Surface Temperature, Air Temperature, and Net Radiation J. Lu et al. https://doi.org/10.3390/rs5105369
43. A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data Z. Li et al. https://doi.org/10.3390/s90503801
44. Climate Change Impacts on the Mediterranean Coastal Zones F. Brochier & E. Ramieri https://doi.org/10.2139/ssrn.277549
45. Estimating surface energy fluxes using a dual‐source data assimilation approach adjoined to the heat diffusion equation S. Bateni & S. Liang https://doi.org/10.1029/2012JD017618
46. Revisiting Daily MODIS Evapotranspiration Algorithm Using Flux Tower Measurements in China L. Huang et al. https://doi.org/10.1029/2021EA001818
47. Effect of the revisit interval and temporal upscaling methods on the accuracy of remotely sensed evapotranspiration estimates J. Alfieri et al. https://doi.org/10.5194/hess-21-83-2017
48. Effect of Cloud Cover on Temporal Upscaling of Instantaneous Evapotranspiration Y. Jiang et al. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001635
49. Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA C. Ferguson et al. https://doi.org/10.1080/01431161.2010.483490
50. Deriving daily evapotranspiration from remotely sensed instantaneous evaporative fraction over olive orchard in semi-arid Morocco J. Hoedjes et al. https://doi.org/10.1016/j.jhydrol.2008.02.016
51. The value of intuitive concepts in evaporation research R. Crago & R. Qualls https://doi.org/10.1002/wrcr.20420
52. Evaluating the complementary relationship of evapotranspiration in the alpine steppe of the Tibetan Plateau N. Ma et al. https://doi.org/10.1002/2014WR015493
53. Estimation and partitioning of actual daily evapotranspiration at an intensive olive grove using the STSEB model based on remote sensing M. Häusler et al. https://doi.org/10.1016/j.agwat.2018.01.027
54. Latent heat flux estimation in clear sky days over Indian agroecosystems using noontime satellite remote sensing data K. Mallick et al. https://doi.org/10.1016/j.agrformet.2009.05.006
55. A local-scale, high-resolution evapotranspiration mapping algorithm (ETMA) with hydroecological applications at riparian meadow restoration sites S. Loheide & S. Gorelick https://doi.org/10.1016/j.rse.2005.07.003
56. Analysis of the Diurnal Pattern of Evaporative Fraction and Its Controlling Factors over Croplands in the Northern China D. YANG et al. https://doi.org/10.1016/S2095-3119(13)60540-7
57. Evaporation from cultivated and semi-wild Sudanian Savanna in west Africa N. Ceperley et al. https://doi.org/10.5194/hess-21-4149-2017
58. Transpiration, evapotranspiration and energy fluxes in a temperate wetland dominated by Phalaris arundinacea under hot summer conditions A. Rejšková et al. https://doi.org/10.1002/eco.184
59. Water scarcity in semi-arid California compromises perennial alfalfa’s high yield and carbon sinking potentials T. Wang et al. https://doi.org/10.1016/j.agwat.2024.109284
60. Evapotranspiration Estimation Using Surface Energy Balance-Based Evaporative Fraction for Water Management in Canal Irrigation Command H. Parmar & N. Gontia https://doi.org/10.1007/s12524-021-01467-7
61. Reconstruction of daily evapotranspiration under cloudy sky constrained by soil water budget balance Y. Jiang et al. https://doi.org/10.1016/j.jhydrol.2021.127288
62. Daily evapotranspiration assessment by means of residual surface energy balance modeling: A critical analysis under a wide range of water availability C. Cammalleri et al. https://doi.org/10.1016/j.jhydrol.2012.05.042
63. Evaluation of a surface energy balance method based on optical and thermal satellite imagery to estimate root‐zone soil moisture N. Alburn et al. https://doi.org/10.1002/hyp.10562
64. Spatially remotely sensed evapotranspiration estimates in Sahel region using an ensemble contextual model with automated heterogeneity assessment N. Farhani et al. https://doi.org/10.1016/j.srs.2025.100229
65. Estimating surface turbulent heat fluxes from land surface temperature and soil moisture observations using the particle batch smoother Y. Lu et al. https://doi.org/10.1002/2016WR018943
66. Assessment of actual evapotranspiration over a semiarid heterogeneous land surface by means of coupled low-resolution remote sensing data with an energy balance model: comparison to extra-large aperture scintillometer measurements S. Saadi et al. https://doi.org/10.5194/hess-22-2187-2018
67. Evaluating the SEBS‐estimated evaporative fraction from MODIS data for a complex underlying surface J. Lu et al. https://doi.org/10.1002/hyp.9440
68. Carbon dioxide fluxes from a degraded woodland in West Africa and their responses to main environmental factors E. Ago et al. https://doi.org/10.1186/s13021-015-0033-6
69. Upscaling of evapotranspiration fluxes from instantaneous to daytime scales for thermal remote sensing applications C. Cammalleri et al. https://doi.org/10.5194/hess-18-1885-2014
70. Nonlinear boundaries of land surface temperature–vegetation index space to estimate water deficit index and evaporation fraction X. Hu et al. https://doi.org/10.1016/j.agrformet.2019.107736
71. Surface and Atmospheric Controls on the Onset of Moist Convection over Land P. Gentine et al. https://doi.org/10.1175/JHM-D-12-0137.1
72. Temporal upscaling of instantaneous evapotranspiration: An intercomparison of four methods using eddy covariance measurements and MODIS data R. Tang et al. https://doi.org/10.1016/j.rse.2013.07.001
73. Remote Sensing of Evapotranspiration over the Central Arizona Irrigation and Drainage District, USA A. French et al. https://doi.org/10.3390/agronomy8120278
74. How representative are instantaneous evaporative fraction measurements of daytime fluxes? J. Peng et al. https://doi.org/10.5194/hess-17-3913-2013
75. Application of machine learning techniques to simulate the evaporative fraction and its relationship with environmental variables in corn crops T. Zenone et al. https://doi.org/10.1186/s13717-022-00400-1
76. GYMEE: A Global Field-Scale Crop Yield and ET Mapper in Google Earth Engine Based on Landsat, Weather, and Soil Data H. Jaafar & R. Mourad https://doi.org/10.3390/rs13040773
77. Exploring and closing the energy balance of eddy covariance measurements along a land use gradient in the West African Sudanian savanna L. Nadolski et al. https://doi.org/10.3389/frwa.2024.1393884