1401 citations as recorded by crossref.

1. A framework of correcting the angular effect of land surface temperature on evapotranspiration estimation in single-source energy balance models Y. Jiang et al. https://doi.org/10.1016/j.rse.2022.113306
2. Introduction to the GEOBIA 2010 special issue: From pixels to geographic objects in remote sensing image analysis E. Addink et al. https://doi.org/10.1016/j.jag.2011.12.001
3. Optimal Land Use at Developing Communities C. Palencia-Aguilar https://doi.org/10.1016/j.proeng.2015.06.102
4. Integration of MODIS land and atmosphere products with a coupled-process model to estimate gross primary productivity and evapotranspiration from 1 km to global scales Y. Ryu et al. https://doi.org/10.1029/2011GB004053
5. Assessing relative soil moisture with remote sensing data: theory, experimental validation, and application to drought monitoring over the North China Plain Z. Su et al. https://doi.org/10.1016/S1474-7065(03)00010-X
6. Investigating the influence of roughness length for heat transport (zoh) on the performance of SEBAL in semi-arid irrigated and dryland agricultural systems G. Paul et al. https://doi.org/10.1016/j.jhydrol.2013.11.040
7. Preface: Land Surface Processes and Interactions—From HCMM to Sentinel Missions and Beyond Z. Su et al. https://doi.org/10.3390/rs9080788
8. A global terrestrial evapotranspiration product based on the three-temperature model with fewer input parameters and no calibration requirement L. Yu et al. https://doi.org/10.5194/essd-14-3673-2022
9. Numerical simulation of methane spreading in porous media after leaking from an underground pipe J. Wang et al. https://doi.org/10.1108/HFF-01-2020-0007
10. Mapping regional distribution of land surface heat fluxes on the southern side of the central Himalayas using TESEBS P. Amatya et al. https://doi.org/10.1007/s00704-015-1466-2
11. Quantifying energy and water fluxes in dry dune ecosystems of the Netherlands B. Voortman et al. https://doi.org/10.5194/hess-19-3787-2015
12. An optimized surface aerodynamic temperature approach to estimate maize sensible heat flux and evapotranspiration E. Costa-Filho et al. https://doi.org/10.1016/j.agrformet.2021.108683
13. Analysis of land-atmosphere interactions and their influence on the energy and water cycle over the Tibetan Plateau Y. Ma et al. https://doi.org/10.1080/10095020.2024.2372504
14. Assessing a scheme of spatial-temporal thermal remote-sensing sharpening for estimating regional evapotranspiration K. Liu et al. https://doi.org/10.1080/01431161.2018.1434326
15. Assessment and validation of evapotranspiration using SEBAL algorithm and Lysimeter data of IARI agricultural farm, India A. Bala et al. https://doi.org/10.1080/10106049.2015.1076062
16. Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation J. Fisher et al. https://doi.org/10.1111/gcb.70898
17. Estimating Evapotranspiration in a Post-Fire Environment Using Remote Sensing and Machine Learning P. Poon & A. Kinoshita https://doi.org/10.3390/rs10111728
18. An Assessment of Using Remote Sensing-based Models to Estimate Ground Surface Soil Heat Flux on the Tibetan Plateau during the Freeze-thaw Process C. Yang et al. https://doi.org/10.3390/rs12030501
19. Normalized Difference Latent Heat Index for Remote Sensing of Land Surface Energy Fluxes Y. Liou et al. https://doi.org/10.1109/TGRS.2018.2866555
20. A Comprehensive Clear-Sky Database for the Development of Land Surface Temperature Algorithms S. Ermida & I. Trigo https://doi.org/10.3390/rs14102329
21. A review of Ts/VI remote sensing based methods for the retrieval of land surface energy fluxes and soil surface moisture G. Petropoulos et al. https://doi.org/10.1177/0309133309338997
22. A Copernicus-based evapotranspiration dataset at 100 m spatial resolution over four Mediterranean basins P. Bartkowiak et al. https://doi.org/10.5194/essd-16-4709-2024
23. Evapotranspiration Estimation Using Remote Sensing Technology Based on a SEBAL Model in the Upper Reaches of the Huaihe River Basin L. Tan et al. https://doi.org/10.3390/atmos12121599
24. An Interpretable Machine Learning Approach to Remote Sensing-Based Estimation of Hourly Agricultural Evapotranspiration in Drylands Q. Zhuang et al. https://doi.org/10.3390/agriculture15212193
25. Evaluation of the SPARSE Dual-Source Model for Predicting Water Stress and Evapotranspiration from Thermal Infrared Data over Multiple Crops and Climates E. Delogu et al. https://doi.org/10.3390/rs10111806
26. Global assessment of how averaging over spatial heterogeneity in precipitation and potential evapotranspiration affects modeled evapotranspiration rates E. Rouholahnejad Freund et al. https://doi.org/10.5194/hess-24-1927-2020
27. Assessing Terrain Effect on Evapotranspiration Using the SEBAL Model in Mountainous Regions W. Fu et al. https://doi.org/10.1109/JSTARS.2025.3539822
28. Investigating the temporal and spatial variations of water consumption in Urmia Lake River Basin considering the climate and anthropogenic effects on the agriculture in the basin M. Taheri et al. https://doi.org/10.1016/j.agwat.2018.11.013
29. Warming Effort and Energy Budget Difference of Various Human Land Use Intensity: Case Study of Beijing, China S. Zhou et al. https://doi.org/10.3390/land9090280
30. Effects of land-use/cover change on hydrological processes using a GIS/RS-based integrated hydrological model: case study of the East River, China K. Wang et al. https://doi.org/10.1080/02626667.2014.949723
31. Uncertainty Quantification in Land Surface Hydrologic Modeling: Toward an Integrated Variational Data Assimilation Framework A. Abdolghafoorian & L. Farhadi https://doi.org/10.1109/JSTARS.2016.2553444
32. Quantifying Evapotranspiration and Environmental Factors in the Abandoned Saline Farmland Using Landsat Archives L. Zhao et al. https://doi.org/10.3390/land14020283
33. Urban evapotranspiration estimation based on anthropogenic activities and modified Penman-Monteith model J. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.127879
34. Comparison of Two Satellite‐Based Evapotranspiration Models of the Nagqu River Basin of the Tibetan Plateau M. Zou et al. https://doi.org/10.1002/2017JD027965
35. Land Use Classification: A Surface Energy Balance and Vegetation Index Application to Map and Monitor Irrigated Lands M. Pun et al. https://doi.org/10.3390/rs9121256
36. Carbon–water coupling in California almond orchards: a multi-scale assessment of ecosystem water use efficiency using eddy covariance and remote sensing S. Peddinti & I. Kisekka https://doi.org/10.1016/j.scitotenv.2025.179914
37. Responses of field evapotranspiration to the changes of cropping pattern and groundwater depth in large irrigation district of Yellow River basin L. Bai et al. https://doi.org/10.1016/j.agwat.2017.03.028
38. Assessing the Spatial Pattern of Irrigation Demand under Climate Change in Arid Area L. Wang et al. https://doi.org/10.3390/ijgi9090506
39. Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China's Yangtze River Basin D. Long et al. https://doi.org/10.1016/j.rse.2015.07.003
40. Evaluating the accuracy of satellite-derived evapotranspiration estimates acquired during conditions of water stress S. Gokool et al. https://doi.org/10.1080/01431161.2019.1646940
41. Integrated Modeling System for Water Resources Management of Tarim River Basin Y. Huang et al. https://doi.org/10.1089/ees.2009.0359
42. Regional analysis of evapotranspiration changes in an arid river basin using satellite observations X. Zhu et al. https://doi.org/10.1080/15324982.2020.1853279
43. A comparison of two downscaling procedures to increase the spatial resolution of mapping actual evapotranspiration M. Mahour et al. https://doi.org/10.1016/j.isprsjprs.2017.02.004
44. Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard J. Bellvert et al. https://doi.org/10.3390/rs12142299
45. Comparison of evapotranspiration estimated by ETWatch with that derived from combined GRACE and measured precipitation data in Hai River Basin, North China J. Moiwo et al. https://doi.org/10.1080/02626667.2011.553617
46. Estimations of Regional Surface Energy Fluxes Over Heterogeneous Oasis–Desert Surfaces in the Middle Reaches of the Heihe River During HiWATER-MUSOEXE . Yanfei Ma et al. https://doi.org/10.1109/LGRS.2014.2356652
47. Evapotranspiration Estimate over an Almond Orchard Using Landsat Satellite Observations R. He et al. https://doi.org/10.3390/rs9050436
48. Validation and downscaling of Advanced Scatterometer (ASCAT) soil moisture using ground measurements in the Western Cape, South Africa J. Moller et al. https://doi.org/10.1080/02571862.2017.1318962
49. Estimation of Land Surface Heat Fluxes over the Tibetan Plateau Using GMS Data Y. Oku et al. https://doi.org/10.1175/JAM2456.1
50. METRIC-GIS: An advanced energy balance model for computing crop evapotranspiration in a GIS environment J. Ramírez-Cuesta et al. https://doi.org/10.1016/j.envsoft.2020.104770
51. Recent advance in earth observation big data for hydrology L. Chen & L. Wang https://doi.org/10.1080/20964471.2018.1435072
52. Improving the algorithms for the estimation of wet surface evaporation on the Tibetan Plateau C. Zhang et al. https://doi.org/10.1016/j.agrformet.2026.111030
53. Estimation of spatial surface energy fluxes and actual evapotranspiration over Ghataprabha river basin using remote sensing data S. Bangi et al. https://doi.org/10.1051/e3sconf/202345503008
54. Multi-Satellite Data of Land Surface Temperature, Lakes Area, and Water Level for Hydrological Model Calibration and Validation in the Yangtze River Basin C. Corbari et al. https://doi.org/10.3390/w11122621
55. First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS) Z. Su et al. https://doi.org/10.1016/j.jag.2013.08.002
56. A pixel-aligned co-registration and DSM-grid fusion framework for UAV multispectral and thermal imagery and point-cloud data: 3D Characterization of crop canopy water status L. Zhang et al. https://doi.org/10.1016/j.compag.2025.111290
57. Evaluation of Evapotranspiration over a Semiarid Region Using Multiresolution Data Sources S. Jamshidi et al. https://doi.org/10.1175/JHM-D-18-0082.1
58. A Distributed Hydrological Model Driven by Multi-Source Spatial Data and Its Application in the Ili River Basin of Central Asia M. Cai et al. https://doi.org/10.1007/s11269-014-0641-z
59. Estimation and validation of high-resolution evapotranspiration products for an arid river basin using multi-source remote sensing data J. Xiao et al. https://doi.org/10.1016/j.agwat.2024.108864
60. Tailoring the surface energy balance algorithm for land-improved (SEBALI) model using high-resolution land/use land cover for monitoring actual evapotranspiration Y. Mekonnen et al. https://doi.org/10.1016/j.agwat.2024.109058
61. Estimation of evapotranspiration of “soil-vegetation” system with a scheme combining a dual-source model and satellite data assimilation Y. Cui & L. Jia https://doi.org/10.1016/j.jhydrol.2021.127145
62. Monitoring satellite-based crop irrigation water requirements for maize, cotton and hay in distinct Mediterranean regions N. Dercas et al. https://doi.org/10.1016/j.agwat.2025.109719
63. High spatio-temporal monitoring of century-old biochar effects on evapotranspiration through the ETLook model: a case study with UAV and satellite image fusion based on additive wavelet transform (AWT) R. Heidarian Dehkordi et al. https://doi.org/10.1080/15481603.2021.2016262
64. 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
65. Integrating multiple satellite observations into a coherent dataset to monitor the full water cycle – application to the Mediterranean region V. Pellet et al. https://doi.org/10.5194/hess-23-465-2019
66. Applicability of the Surface Energy Balance System (SEBS) Model for Evapotranspiration in Tropical Rubber Plantation and Its Response to Influencing Factors J. Wang et al. https://doi.org/10.3390/f16121820
67. Global Land Surface Evapotranspiration Estimation From Meteorological and Satellite Data Using the Support Vector Machine and Semiempirical Algorithm M. Liu et al. https://doi.org/10.1109/JSTARS.2017.2788462
68. 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
69. Can satellite land surface temperature data be used similarly to river discharge measurements for distributed hydrological model calibration? C. Corbari et al. https://doi.org/10.1080/02626667.2013.866709
70. Modeling the evapotranspiration of Lycium barbarum with drip irrigation based on the shuttleworth-wallace model in Ningxia, Northwest China B. Ma & J. He https://doi.org/10.1007/s00704-023-04520-2
71. Advances in thermal infrared remote sensing for land surface modeling W. Kustas & M. Anderson https://doi.org/10.1016/j.agrformet.2009.05.016
72. Water allocation and water consumption of irrigated agriculture and natural vegetation in the Aksu-Tarim river basin, Xinjiang, China N. Thevs et al. https://doi.org/10.1016/j.jaridenv.2014.05.028
73. Uncertainty analysis of the Operational Simplified Surface Energy Balance (SSEBop) model at multiple flux tower sites M. Chen et al. https://doi.org/10.1016/j.jhydrol.2016.02.026
74. Estimating the long-term daily evapotranspiration in the source region of the Yangtze River based on a universal trapezoid method Y. Li et al. https://doi.org/10.1016/j.ejrh.2026.103119
75. Estimation of evapotranspiration using all-weather land surface temperature and variational trends with warming temperatures for the River Source Region in Southwest China Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2022.128346
76. Enhancing evapotranspiration estimates in composite terrain through the integration of satellite remote sensing and eddy covariance measurements A. Ghorbanpour et al. https://doi.org/10.1016/j.scitotenv.2025.178530
77. Quantifying bare soil evaporation and its relationship with groundwater depth X. Jin et al. https://doi.org/10.1080/01431161.2014.975374
78. Land surface energy partitioning revisited: A novel approach based on single depth soil measurement J. Yang & Z. Wang https://doi.org/10.1002/2014GL062041
79. Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches R. Vinukollu et al. https://doi.org/10.1016/j.rse.2010.11.006
80. Improvement of Two Evapotranspiration Estimation Models Using a Linear Spectral Mixture Model over a Small Agricultural Watershed G. Li et al. https://doi.org/10.3390/w10040474
81. Estimating sub-pixel temperatures using the triangle algorithm H. Yang et al. https://doi.org/10.1080/01431160903376373
82. Drought evolution, severity and trends in mainland China over 1961–2013 N. Yao et al. https://doi.org/10.1016/j.scitotenv.2017.10.327
83. Long-Term Regional Estimates of Evapotranspiration for Mexico Based on Downscaled ISCCP Data J. Sheffield et al. https://doi.org/10.1175/2009JHM1176.1
84. Evolving water science in the Anthropocene H. Savenije et al. https://doi.org/10.5194/hess-18-319-2014
85. A continuous satellite‐derived global record of land surface evapotranspiration from 1983 to 2006 K. Zhang et al. https://doi.org/10.1029/2009WR008800
86. Derivation of Geostationary Satellite Based Background Temperature and Its Validation with Ground Observation and Geographic Information D. Choi et al. https://doi.org/10.7780/kjrs.2015.31.6.8
87. Spatiotemporal Distribution Characteristics of Evapotranspiration Based on SEBAL Model and Remote Sensing 鹏. 乔 https://doi.org/10.12677/JWRR.2020.94043
88. Monitoring land degradation risk using ASTER data: The non-evaporative fraction as an indicator of ecosystem function M. García et al. https://doi.org/10.1016/j.rse.2008.05.011
89. The SPARSE model for the prediction of water stress and evapotranspiration components from thermal infra-red data and its evaluation over irrigated and rainfed wheat G. Boulet et al. https://doi.org/10.5194/hess-19-4653-2015
90. Application of an energy balance method for estimating evapotranspiration in cropping systems S. Anapalli et al. https://doi.org/10.1016/j.agwat.2018.04.005
91. Evaluating European ECOSTRESS Hub Evapotranspiration Products Across a Range of Soil‐Atmospheric Aridity and Biomes Over Europe T. Hu et al. https://doi.org/10.1029/2022WR034132
92. Aerodynamic roughness length estimation from very high-resolution imaging LIDAR observations over the Heihe basin in China J. Colin & R. Faivre https://doi.org/10.5194/hess-14-2661-2010
93. An automated multi-model evapotranspiration mapping framework using remotely sensed and reanalysis data N. Bhattarai et al. https://doi.org/10.1016/j.rse.2019.04.026
94. Estimation of the crop evapotranspiration for Udham Singh Nagar district using modified Priestley-Taylor model and Landsat imagery A. Satpathi et al. https://doi.org/10.1038/s41598-024-72299-x
95. Two-source energy balance schemes exploiting land surface temperature and soil moisture for continuous vineyard water use estimation N. Paciolla et al. https://doi.org/10.1007/s00271-024-00991-x
96. The role of remote sensing in process-scaling studies of managed forest ecosystems J. Masek et al. https://doi.org/10.1016/j.foreco.2015.05.032
97. Estimation of Surface Heat Fluxes Over the Central Tibetan Plateau using the Maximum Entropy Production Model N. Li et al. https://doi.org/10.1029/2018JD029959
98. Comparison of blue and green water fluxes for different land use classes in a semi-arid cultivated catchment using remote sensing A. Msigwa et al. https://doi.org/10.1016/j.ejrh.2021.100860
99. Modelling daily reference evapotranspiration based on stacking hybridization of ANN with meta-heuristic algorithms under diverse agro-climatic conditions A. Elbeltagi et al. https://doi.org/10.1007/s00477-022-02196-0
100. Evapotranspiration estimation considering anthropogenic heat based on remote sensing in urban area Z. Cong et al. https://doi.org/10.1007/s11430-016-0216-3
101. Estimation of evapotranspiration for the blown-sand region in the Ordos basin based on the SEBAL model J. Kong et al. https://doi.org/10.1080/01431161.2018.1508919
102. Multidecadal Trend of Basin‐Scale Evapotranspiration Estimated Using AVHRR Data in the Krishna River Basin, India P. Teluguntla et al. https://doi.org/10.2136/vzj2012.0118
103. Ecological Water Requirement of Vegetation and Water Stress Assessment in the Middle Reaches of the Keriya River Basin R. Wang et al. https://doi.org/10.3390/rs15184638
104. Estimation of evapotranspiration using a remote sensing model over agricultural land in the North China Plain D. Yang et al. https://doi.org/10.1080/01431161.2010.483492
105. Earth Observations and Integrative Models in Support of Food and Water Security S. Schollaert Uz et al. https://doi.org/10.1007/s41976-019-0008-6
106. Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China J. Lang et al. https://doi.org/10.1080/15324982.2024.2393337
107. An improved remote sensing based approach for predicting actual Evapotranspiration by integrating LiDAR M. Khan et al. https://doi.org/10.1016/j.asr.2021.04.017
108. Basin-wide water accounting based on remote sensing data: an application for the Indus Basin P. Karimi et al. https://doi.org/10.5194/hess-17-2473-2013
109. Developing a New ANN Model to Estimate Daily Actual Evapotranspiration Using Limited Climatic Data and Remote Sensing Techniques for Sustainable Water Management H. Karahan et al. https://doi.org/10.3390/su16062481
110. Seasonal trends of satellite-based evapotranspiration algorithms over a complex ecosystem in East Asia K. Hwang & M. Choi https://doi.org/10.1016/j.rse.2013.06.006
111. Using remote sensing models to determine evapotranspiration of a pomegranate orchard in a Mediterranean-type climate R. Kgaphola et al. https://doi.org/10.17660/ActaHortic.2024.1395.7
112. Estimating Turbulent Heat Fluxes With a Weak-Constraint Data Assimilation Scheme: A Case Study (HiWATER-MUSOEXE) T. Xu et al. https://doi.org/10.1109/LGRS.2014.2326180
113. Estimating Monthly Energy Fluxes Using Observations of Near-Surface Air Temperature, Humidity and Radiosonde Profiles D. Brondani et al. https://doi.org/10.1007/s10546-019-00429-4
114. Crop RS-Met: A biophysical evapotranspiration and root-zone soil water content model for crops based on proximal sensing and meteorological data D. Helman et al. https://doi.org/10.1016/j.agwat.2018.09.043
115. A novel classifier-guided ensemble framework for global terrestrial evapotranspiration estimates L. Ni et al. https://doi.org/10.5194/hess-30-3283-2026
116. Combining scintillometer measurements and an aggregation scheme to estimate area-averaged latent heat flux during the AMMA experiment J. Ezzahar et al. https://doi.org/10.1016/j.jhydrol.2009.01.010
117. Evaluation of satellite Leaf Area Index in California vineyards for improving water use estimation Y. Kang et al. https://doi.org/10.1007/s00271-022-00798-8
118. A new parameterization scheme for estimating surface energy fluxes with continuous surface temperature, air temperature, and surface net radiation measurements J. Lu et al. https://doi.org/10.1002/2013WR014468
119. Improving the Operational Simplified Surface Energy Balance Evapotranspiration Model Using the Forcing and Normalizing Operation G. Senay et al. https://doi.org/10.3390/rs15010260
120. Sensitivity and Uncertainty Analysis of the GeeSEBAL Model Using High-Resolution Remote-Sensing Data and Global Flux Site Data S. Hu et al. https://doi.org/10.3390/w16202978
121. A hybrid deep learning framework with physical process description for simulation of evapotranspiration H. Chen et al. https://doi.org/10.1016/j.jhydrol.2021.127422
122. Spatio-Temporal Determination of Irrigated Paddy Rice Pixels Using Evapotranspiration and Vegetation Indices: A Case Study for Ca River Basin in Vietnam C. Luong et al. https://doi.org/10.4236/gep.2020.812006
123. Using GRACE to constrain precipitation amount over cold mountainous basins A. Behrangi et al. https://doi.org/10.1002/2016GL071832
124. 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
125. Integrated modeling to assess the impact of climate change on the groundwater and surface water in the South Aral Sea area X. Pan et al. https://doi.org/10.1016/j.jhydrol.2022.128641
126. Evaluation of SEBS for estimation of actual evapotranspiration using ASTER satellite data for irrigation areas of Australia W. Ma et al. https://doi.org/10.1007/s00704-012-0754-3
127. Estimation of Vegetation Latent Heat Flux over Three Forest Sites in ChinaFLUX using Satellite Microwave Vegetation Water Content Index Y. Wang et al. https://doi.org/10.3390/rs11111359
128. Determining water use of sorghum from two-source energy balance and radiometric temperatures J. Sánchez et al. https://doi.org/10.5194/hess-15-3061-2011
129. Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods M. Cheng et al. https://doi.org/10.1016/j.ejrh.2022.101057
130. Progress in integrating remote sensing data and hydrologic modeling X. Xu et al. https://doi.org/10.1177/0309133314536583
131. A Method for Deriving All‐Sky Evapotranspiration From the Synergistic Use of Remotely Sensed Images and Meteorological Data P. Leng et al. https://doi.org/10.1002/2017JD027880
132. Aggregation of area-averaged evapotranspiration over the Ejina Oasis based on a flux matrix and footprint analysis F. Xu et al. https://doi.org/10.1016/j.jhydrol.2019.05.011
133. Satellite Retrieval of Surface Evapotranspiration with Nonparametric Approach: Accuracy Assessment over a Semiarid Region X. Pan et al. https://doi.org/10.1155/2016/1584316
134. Comparison of physical-based, data-driven and hybrid modeling approaches for evapotranspiration estimation X. Hu et al. https://doi.org/10.1016/j.jhydrol.2021.126592
135. Estimating surface evapotranspiration using combined MODIS and CBERS-02 data X. Xin et al. https://doi.org/10.1007/BF03039431
136. Impacts of climatology error on evapotranspiration data merging over the intensively irrigated Haihe river basin, China Y. Li et al. https://doi.org/10.1016/j.ejrh.2025.102568
137. Daily Evapotranspiration Estimation at the Field Scale: Using the Modified SEBS Model and HJ-1 Data in a Desert-Oasis Area, Northwestern China Z. Yi et al. https://doi.org/10.3390/w10050640
138. Spatio-temporal variation of evapotranspiration and its linkage with environmental factors in the largest freshwater lake wetland in China X. Pan et al. https://doi.org/10.1016/j.ejrh.2023.101424
139. Spatiotemporal Heterogeneity of Multiple In Situ Observational Sites and Its Site Deployment Optimization Strategy Y. Huang et al. https://doi.org/10.1109/TGRS.2023.3317482
140. Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle F. Tauro et al. https://doi.org/10.1080/02626667.2017.1420191
141. Estimation of sensible heat flux using the Surface Energy Balance System (SEBS) and ATSR measurements L. Jia et al. https://doi.org/10.1016/S1474-7065(03)00009-3
142. Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites D. Long et al. https://doi.org/10.1002/2013WR014581
143. Evapotranspiration estimation using moderate resolution imaging spectroradiometer products through a surface energy balance algorithm for land model in Songnen Plain, China L. Zeng https://doi.org/10.1117/1.3609840
144. Integrating soil moisture retrieved from L-band microwave radiation into an energy balance model to improve evapotranspiration estimation on the irrigated oases of arid regions in northwest China Y. Li et al. https://doi.org/10.1016/j.agrformet.2015.08.260
145. Using a Surface Energy Balance Model to Calculate Spatially Distributed Actual Evapotranspiration A. Elhaddad et al. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000276
146. Evaluating the Impact of Future Seasonal Climate Extremes on Crop Evapotranspiration of Maize in Western Kansas Using a Machine Learning Approach K. Igwe et al. https://doi.org/10.3390/land12081500
147. Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain) J. van der Kwast et al. https://doi.org/10.5194/hess-13-1337-2009
148. An investigation of sensible heat fluxes at a green roof in a laboratory setup T. Ayata et al. https://doi.org/10.1016/j.buildenv.2011.03.006
149. Assessing spatiotemporal variation in actual evapotranspiration for semi-arid watersheds in northwest China: Evaluation of two complementary-based methods M. Matin & C. Bourque https://doi.org/10.1016/j.jhydrol.2013.02.014
150. Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter T. Xu et al. https://doi.org/10.1029/2010JD015150
151. Estimating evapotranspiration using remotely sensed solar-induced fluorescence measurements K. Zhou et al. https://doi.org/10.1016/j.agrformet.2021.108800
152. Incorporating Plant Access to Groundwater in Existing Global, Satellite‐Based Evaporation Estimates P. Hulsman et al. https://doi.org/10.1029/2022WR033731
153. Calibration of Spatially Distributed Hydrological Processes and Model Parameters in SWAT Using Remote Sensing Data and an Auto-Calibration Procedure: A Case Study in a Vietnamese River Basin L. Ha et al. https://doi.org/10.3390/w10020212
154. Investigating land surface temperature changes using Landsat-5 data and real-time infrared thermometer measurements at Konya Closed Basin in Turkey O. ORHAN et al. https://doi.org/10.26833/ijeg.417151
155. Advancements in Remote Sensing for Evapotranspiration Estimation: A Comprehensive Review of Temperature-Based Models B. Derardja et al. https://doi.org/10.3390/rs16111927
156. Further evaluation of the Sim-ReSET model for ET estimation driven by only satellite inputs Z. Sun et al. https://doi.org/10.1080/02626667.2013.791026
157. Evapotranspiration Estimation with Remote Sensing and Various Surface Energy Balance Algorithms—A Review Y. Liou & S. Kar https://doi.org/10.3390/en7052821
158. Complementary Relationship-Based Validation and Analysis of Evapotranspiration in the Permafrost Region of the Qinghai–Tibetan Plateau W. Yu et al. https://doi.org/10.3390/atmos16080932
159. A new empirical procedure for estimating intra-annual heat storage changes in lakes and reservoirs: Review and analysis of 22 lakes Z. Duan & W. Bastiaanssen https://doi.org/10.1016/j.rse.2014.09.009
160. Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model M. Demirel et al. https://doi.org/10.5194/hess-22-1299-2018
161. Estimating the Water Deficit Index of a Mediterranean Holm Oak Forest From Landsat Optical/Thermal Data: A Phenomenological Correction for Trees Casting Shadow Effects V. Penot & O. Merlin https://doi.org/10.1109/JSTARS.2023.3288360
162. Strategies to increase wheat production in the water scarce Karkheh River Basin, Iran L. Muthuwatta et al. https://doi.org/10.1016/j.agwat.2013.03.013
163. Estimation of actual irrigation amount and its impact on groundwater depletion: A case study in the Hebei Plain, China X. Hu et al. https://doi.org/10.1016/j.jhydrol.2016.10.020
164. On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient Y. Bai et al. https://doi.org/10.1016/j.agrformet.2020.108308
165. Estimating Evapotranspiration of Mediterranean Oak Savanna at Multiple Temporal and Spatial Resolutions. Implications for Water Resources Management E. Carpintero et al. https://doi.org/10.3390/rs13183701
166. Developmentevaluation of an actual evapotranspiration estimation algorithm using satellite remote sensingmeteorological observational network in Oklahoma S. Ibrahim Khan et al. https://doi.org/10.1080/01431161.2010.483487
167. Climate-Induced Shifts in Global Soil Temperature Regimes M. Grillakis et al. https://doi.org/10.1097/SS.0000000000000156
168. Assessing the impacts of an ecological water diversion project on water consumption through high-resolution estimations of actual evapotranspiration in the downstream regions of the Heihe River Basin, China Y. Zhou et al. https://doi.org/10.1016/j.agrformet.2017.11.011
169. Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data R. Tang et al. https://doi.org/10.1016/j.agrformet.2013.01.008
170. Estimation of evapotranspiration and its partition based on an extended three-temperature model and MODIS products F. Tian et al. https://doi.org/10.1016/j.jhydrol.2013.06.038
171. Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities P. Stoy et al. https://doi.org/10.5194/bg-16-3747-2019
172. Assessment of Irrigation Performance in Large River Basins under Data Scarce Environment—A Case of Kabul River Basin, Afghanistan F. Akhtar et al. https://doi.org/10.3390/rs10060972
173. Utility of an Automated Thermal-Based Approach for Monitoring Evapotranspiration W. Timmermans et al. https://doi.org/10.1515/acgeo-2015-0016
174. Effects of anthropogenic water regulation and groundwater lateral flow on land processes Y. Zeng et al. https://doi.org/10.1002/2016MS000646
175. Realization of Land Geophysical Products (Short-Wave Broad Band Albedo, Visible Albedo, Inland Water Bodies and Vegetation Indices) from EOS-06 Ocean Color Monitor3 Sensor V. Keerthi et al. https://doi.org/10.1007/s12524-025-02325-6
176. Improving Soil Moisture and Surface Turbulent Heat Flux Estimates by Assimilation of SMAP Brightness Temperatures or Soil Moisture Retrievals and GOES Land Surface Temperature Retrievals Y. Lu et al. https://doi.org/10.1175/JHM-D-19-0130.1
177. Retrieved actual ET using SEBS model from Landsat-5 TM data for irrigation area of Australia W. Ma et al. https://doi.org/10.1016/j.atmosenv.2012.05.040
178. A three-source satellite algorithm for retrieving all-sky evapotranspiration rate using combined optical and microwave vegetation index at twenty AsiaFlux sites Y. Wang et al. https://doi.org/10.1016/j.rse.2019.111463
179. Distribution of Actual Evapotranspiration over Qaidam Basin, an Arid Area in China X. Jin et al. https://doi.org/10.3390/rs5126976
180. DNN-MET: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information K. Shang et al. https://doi.org/10.1016/j.agrformet.2021.108582
181. Impact of the Revisit of Thermal Infrared Remote Sensing Observations on Evapotranspiration Uncertainty—A Sensitivity Study Using AmeriFlux Data P. Guillevic et al. https://doi.org/10.3390/rs11050573
182. A Temperature-Domain SEBAL Model Based on a Wind Speed-Independent Theoretical Trapezoidal Space Between Fractional Vegetation Coverage and Land Surface Temperature X. Wang et al. https://doi.org/10.1109/LGRS.2020.2987485
183. Spatial-temporal estimation of evapotranspiration over Black Volta of West Africa T. Amos et al. https://doi.org/10.5897/IJWREE2014.0530
184. Impact of High Concentrations of Saharan Dust Aerosols on Infrared-Based Land Surface Temperature Products F. Stante et al. https://doi.org/10.1109/JSTARS.2023.3263374
185. Estimating evapotranspiration by coupling Bayesian model averaging methods with machine learning algorithms Y. Yang et al. https://doi.org/10.1007/s10661-021-08934-1
186. Coupling physical constraints with machine learning for satellite-derived evapotranspiration of the Tibetan Plateau K. Shang et al. https://doi.org/10.1016/j.rse.2023.113519
187. Spatiotemporal analysis of crop water requirements in Lower Chenab Canal (LCC) Irrigation System for the better management of water resources M. Usman et al. https://doi.org/10.1007/s12517-021-06758-4
188. Inconsistencies of SEBS Model Output Based on the Model Inputs: Global Sensitivity Contemplations M. Elhag https://doi.org/10.1007/s12524-015-0502-0
189. Accuracy of the Temperature–Vegetation Dryness Index using MODIS under water-limited vs. energy-limited evapotranspiration conditions M. Garcia et al. https://doi.org/10.1016/j.rse.2014.04.002
190. Soft robotic grippers: a review Y. Zhang et al. https://doi.org/10.3389/fmats.2025.1692206
191. Estimates of land surface heat fluxes of the Mt. Everest region over the Tibetan Plateau utilizing ASTER data C. Han et al. https://doi.org/10.1016/j.atmosres.2015.09.012
192. Daily actual evapotranspiration estimation of different land use types based on SEBAL model in the agro-pastoral ecotone of northwest China L. Yang et al. https://doi.org/10.1371/journal.pone.0265138
193. Varying performance of eight evapotranspiration products with aridity and vegetation greenness across the globe H. Wang et al. https://doi.org/10.3389/fenvs.2023.1079520
194. Estimating cropland evapotranspiration based on remote sensing models: A global meta-analysis J. Ding et al. https://doi.org/10.1016/j.eja.2025.127758
195. Physically-based modeling of topographic effects on spatial evapotranspiration and soil moisture patterns through radiation and wind M. Liu et al. https://doi.org/10.5194/hess-16-357-2012
196. Evaluation of Algorithms to estimate Daily Evapotranspiration from Instantaneous Measurements under All-sky Conditions Z. Ruan et al. https://doi.org/10.1088/1755-1315/17/1/012133
197. Estimation of Land Surface Heat Fluxes Based on Landsat 7 ETM+ Data and Field Measurements over the Northern Tibetan Plateau N. Ge et al. https://doi.org/10.3390/rs11242899
198. An Empirical Algorithm for Estimating Agricultural and Riparian Evapotranspiration Using MODIS Enhanced Vegetation Index and Ground Measurements of ET. I. Description of Method P. Nagler et al. https://doi.org/10.3390/rs1041273
199. A fully coupled crop-water-energy balance model based on satellite data for maize and tomato crops yield estimates: The FEST-EWB-SAFY model C. Corbari et al. https://doi.org/10.1016/j.agwat.2022.107850
200. Estimating ecosystem evaporation and transpiration using a soil moisture coupled two-source energy balance model across FLUXNET sites K. Xue et al. https://doi.org/10.1016/j.agrformet.2023.109513
201. Impacts of juniper woody plant encroachment into grasslands on local climate J. Wang et al. https://doi.org/10.1016/j.agrformet.2021.108508
202. The Surface Energy Budget and Its Impact on the Freeze-thaw Processes of Active Layer in Permafrost Regions of the Qinghai-Tibetan Plateau J. Ma et al. https://doi.org/10.1007/s00376-021-1066-2
203. Variational estimation of soil and vegetation turbulent transfer and heat flux parameters from sequences of multisensor imagery F. Caparrini et al. https://doi.org/10.1029/2004WR003358
204. Evapotranspiration estimated by using datasets from the Chinese FengYun-2D geostationary meteorological satellite over the Yellow River source area R. Liu et al. https://doi.org/10.1016/j.asr.2014.09.018
205. Surface energy exchanges and stability conditions associated with convective intense rainfall events on the central Andes of Peru J. Flores-Rojas et al. https://doi.org/10.1016/j.agrformet.2025.110570
206. Physics-constrained machine learning for satellite-derived evapotranspiration in China C. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.133512
207. Estimating Effective Soil Hydraulic Properties Using Spatially Distributed Soil Moisture and Evapotranspiration Y. Shin et al. https://doi.org/10.2136/vzj2012.0094
208. Evaluating the ability of deep learning on actual daily evapotranspiration estimation over the heterogeneous surfaces J. Feng et al. https://doi.org/10.1016/j.agwat.2023.108627
209. Actual daily evapotranspiration estimated from MERIS and AATSR data over the Chinese Loess Plateau R. Liu et al. https://doi.org/10.5194/hess-14-47-2010
210. More realistic land‐use and vegetation parameters in a regional climate model reduce model biases over China J. Gou et al. https://doi.org/10.1002/joc.6110
211. Global long term daily 1 km surface soil moisture dataset with physics informed machine learning Q. Han et al. https://doi.org/10.1038/s41597-023-02011-7
212. Integrating Remote Sensing Information Into A Distributed Hydrological Model for Improving Water Budget Predictions in Large-scale Basins through Data Assimilation C. Qin et al. https://doi.org/10.3390/s8074441
213. Multi-scale spatial analysis of satellite-retrieved surface evapotranspiration in Beijing, a rapidly urbanizing region under continental monsoon climate R. Liu et al. https://doi.org/10.1007/s11356-022-23580-x
214. Energy-Based Approaches in Estimating Actual Evapotranspiration Focusing on Land Surface Temperature: A Review of Methods, Concepts, and Challenges M. Taheri et al. https://doi.org/10.3390/en15041264
215. Higher temporal evapotranspiration estimation with improved SEBS model from geostationary meteorological satellite data J. Zhao et al. https://doi.org/10.1038/s41598-019-50724-w
216. Assessment of non-parametric method for evapotranspiration estimation across extreme conditions X. Wu et al. https://doi.org/10.1016/j.atmosres.2025.108279
217. Volume Removed - Publisher's Disclaimer https://doi.org/10.1016/S1876-6102(14)00453-6
218. An optimized two source energy balance model based on complementary concept and canopy conductance G. Gan et al. https://doi.org/10.1016/j.rse.2019.01.020
219. Spatial patterns and recent temporal trends in global transpiration modelled using eco-evolutionary optimality S. Li et al. https://doi.org/10.1016/j.agrformet.2023.109702
220. Validation and Comparison of Seven Land Surface Evapotranspiration Products in the Haihe River Basin, China X. Guo et al. https://doi.org/10.3390/rs14174308
221. Irrigation Scheduling Using Remote Sensing Data Assimilation Approach B. Kamble et al. https://doi.org/10.4236/ars.2013.23028
222. Effects of spatial aggregation on the multi-scale estimation of evapotranspiration A. Ershadi et al. https://doi.org/10.1016/j.rse.2012.12.007
223. Pixel‐oriented land use classification in energy balance modelling G. Scavone et al. https://doi.org/10.1002/hyp.9507
224. Assessment of the Energy Balance Closure under Advective Conditions and Its Impact Using Remote Sensing Data Z. Xu et al. https://doi.org/10.1175/JAMC-D-16-0096.1
225. Estimation of net radiation flux distribution on the southern slopes of the central Himalayas using MODIS data P. Amatya et al. https://doi.org/10.1016/j.atmosres.2014.11.015
226. Spaceborne Imaging Spectroscopy for Sustainable Agriculture: Contributions and Challenges T. Hank et al. https://doi.org/10.1007/s10712-018-9492-0
227. Uncertain effect of component differences on land evapotranspiration P. Jiao et al. https://doi.org/10.1016/j.ejrh.2024.101904
228. Accuracy Assessment of Remote Sensing-Derived Evapotranspiration Products Against Eddy Covariance Measurements in Tensift Al-Haouz Semi-Arid Region, Morocco Y. Manyari et al. https://doi.org/10.3390/atmos16121407
229. A Review of Advances in Groundwater Evapotranspiration Research X. Hou et al. https://doi.org/10.3390/w15050969
230. Calculating potential evapotranspiration and single crop coefficient based on energy balance equation using Landsat 8 and Sentinel-2 A. Mokhtari et al. https://doi.org/10.1016/j.isprsjprs.2019.06.011
231. Characterizing the Footprint of Eddy Covariance System and Large Aperture Scintillometer Measurements to Validate Satellite-Based Surface Fluxes . Jie Bai et al. https://doi.org/10.1109/LGRS.2014.2368580
232. Quantifying the heat flux regulation of metropolitan land use/land cover components by coupling remote sensing modeling with in situ measurement W. Kuang et al. https://doi.org/10.1002/2014JD022249
233. Evapotranspiration estimates derived using thermal-based satellite remote sensing and data fusion for irrigation management in California vineyards K. Knipper et al. https://doi.org/10.1007/s00271-018-0591-y
234. Comparison of SEBAL, METRIC, and ALARM algorithms for estimating actual evapotranspiration of wheat crop M. Asadi & K. Kamran https://doi.org/10.1007/s00704-022-04026-3
235. Near-surface heat transfer at two gentle slope sites with differing aspects, Qinghai-Tibet Plateau X. Fan et al. https://doi.org/10.3389/fenvs.2022.1037331
236. Intercomparison of Three Two-Source Energy Balance Models for Partitioning Evaporation and Transpiration in Semiarid Climates Y. Yang et al. https://doi.org/10.3390/rs10071149
237. Biophysical drivers of short-term change in evapotranspiration after fire as estimated through the SSEBop Landsat-based model J. Fernández-Guisuraga et al. https://doi.org/10.1016/j.foreco.2025.122945
238. Robust historical evapotranspiration trends across climate regimes S. Hobeichi et al. https://doi.org/10.5194/hess-25-3855-2021
239. Evaluation of seven satellite-based and two reanalysis global terrestrial evapotranspiration products Z. Xie et al. https://doi.org/10.1016/j.jhydrol.2024.130649
240. Estimation of evapotranspiration based on METRIC and SEBAL model using remote sensing, near Al-Jouf, Saudi Arabia E. Adem et al. https://doi.org/10.5004/dwt.2023.29478
241. Estimation of Crop Water Requirement Based on Planting Structure Extraction from Multi-Temporal MODIS EVI C. Xu et al. https://doi.org/10.1007/s11269-021-02838-y
242. A GEE TSEB workflow for daily high-resolution fully remote sensing evapotranspiration: Validation over four crops in semi-arid conditions and comparison with the SSEBop experimental product I. El Hazdour et al. https://doi.org/10.1016/j.envsoft.2025.106365
243. Uncertainty and Sensitivity Analysis of a Remote-Sensing-Based Penman–Monteith Model to Meteorological and Land Surface Input Variables N. Majozi et al. https://doi.org/10.3390/rs13050882
244. Vegetation dynamics and their response to groundwater and climate variables in Qaidam Basin, China X. Jin et al. https://doi.org/10.1080/01431161.2015.1137648
245. Simulation of soil water in space and time using an agro-hydrological model and remote sensing techniques U. Singh et al. https://doi.org/10.1016/j.agwat.2010.03.002
246. High-resolution spatially explicit land surface model calibration using field-scale satellite-based daily evapotranspiration product Y. Yang et al. https://doi.org/10.1016/j.jhydrol.2020.125730
247. Detecting and Attributing Evapotranspiration Deviations Using Dynamical Downscaling and Convection-Permitting Modeling over the Tibetan Plateau J. Dan et al. https://doi.org/10.3390/w13152096
248. Modeling soil evaporation efficiency in a range of soil and atmospheric conditions using a meta‐analysis approach O. Merlin et al. https://doi.org/10.1002/2015WR018233
249. Estimation of evapotranspiration over the terrestrial ecosystems in China X. Li et al. https://doi.org/10.1002/eco.1341
250. Estimation of Turbulent Heat Fluxes by Assimilation of Land Surface Temperature Observations From GOES Satellites Into an Ensemble Kalman Smoother Framework T. Xu et al. https://doi.org/10.1002/2017JD027732
251. Coupled retrieval of turbulent heat fluxes and gross primary productivity via the assimilation of land surface temperature data from geostationary satellites Z. Xu et al. https://doi.org/10.1016/j.rse.2025.114862
252. Automated Directional Measurement System for the Acquisition of Thermal Radiative Measurements of Vegetative Canopies J. Timmermans et al. https://doi.org/10.3390/s90301409
253. Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches Y. Ke et al. https://doi.org/10.3390/rs8030215
254. Improving Meteorological Input for Surface Energy Balance System Utilizing Mesoscale Weather Research and Forecasting Model for Estimating Daily Actual Evapotranspiration D. Wang et al. https://doi.org/10.3390/w12010009
255. Assessment of automated evapotranspiration estimates obtained using the GP-SEBAL algorithm for dry forest vegetation (Caatinga) and agricultural areas in the Brazilian semiarid region C. Lima et al. https://doi.org/10.1016/j.agwat.2021.106863
256. Estimating evapotranspiration and drought stress with ground-based thermal remote sensing in agriculture: a review W. Maes & K. Steppe https://doi.org/10.1093/jxb/ers165
257. Calibrating a large-extent high-resolution coupled groundwater-land surface model using soil moisture and discharge data E. Sutanudjaja et al. https://doi.org/10.1002/2013WR013807
258. Changes in the Land Surface Energy Budget in Eastern China over the Past Three Decades: Contributions of Land-Cover Change and Climate Change J. Yan et al. https://doi.org/10.1175/JCLI-D-13-00492.1
259. Estimation of Sensible and Latent Heat Flux Over Mountainous Areas Using the SEBAL Model W. Fu et al. https://doi.org/10.1109/TGRS.2025.3577180
260. Integrating RS data with fuzzy decision systems for innovative crop water needs assessment F. Sadat Hashemi et al. https://doi.org/10.1016/j.jag.2024.104338
261. Moving from model calibration towards process understanding F. Fenicia et al. https://doi.org/10.1016/j.pce.2008.06.008
262. Evaluation of Land Surface Temperature Retrieval from FY-3B/VIRR Data in an Arid Area of Northwestern China J. Jiang et al. https://doi.org/10.3390/rs70607080
263. A Scheme to Estimate Diurnal Cycle of Evapotranspiration from Geostationary Meteorological Satellite Observations J. Lu et al. https://doi.org/10.3390/w12092369
264. Numerical Modeling of Land Surface Temperature over Complex Geologic Terrains: A Remote Sensing Approach S. Asadzadeh & C. Souza Filho https://doi.org/10.3390/rs15194877
265. Actual evapotranspiration estimation and applicability assessment based on the Y-SEBAL model in China Y. Ma et al. https://doi.org/10.1016/j.jhydrol.2025.133476
266. Developing a Gap-Filling Algorithm Using DNN for the Ts-VI Triangle Model to Obtain Temporally Continuous Daily Actual Evapotranspiration in an Arid Area of China Y. Cui et al. https://doi.org/10.3390/rs12071121
267. Optimized algorithm for evapotranspiration retrieval via remote sensing . Wagner Wolff et al. https://doi.org/10.1016/j.agwat.2021.107390
268. Increased Bias in Evapotranspiration Modeling Due to Weather and Vegetation Indices Data Sources R. Dhungel et al. https://doi.org/10.2134/agronj2018.10.0636
269. Estimation of high-resolution terrestrial evapotranspiration from Landsat data using a simple Taylor skill fusion method Y. Yao et al. https://doi.org/10.1016/j.jhydrol.2017.08.013
270. Estimation of Spatio-Temporal Variability of Actual Evapotranspiration Using the Sebs Model in the Semiarid Barotse Basin, South-Western Zambia W. Phiri et al. https://doi.org/10.53974/unza.jonas.1.2.352
271. Autumn daily characteristics of land surface heat and water exchange over the Loess Plateau mesa in China J. Wen et al. https://doi.org/10.1007/s00376-007-0301-9
272. Utility of Radiometric–aerodynamic Temperature Relations for Heat Flux Estimation W. Kustas et al. https://doi.org/10.1007/s10546-006-9093-1
273. 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
274. Variability of urban surface temperatures and implications for aerodynamic energy exchange in unstable conditions B. Crawford et al. https://doi.org/10.1002/qj.3325
275. Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard N. Ohana-Levi et al. https://doi.org/10.3390/rs12152436
276. Operational Evapotranspiration Mapping Using Remote Sensing and Weather Datasets: A New Parameterization for the SSEB Approach G. Senay et al. https://doi.org/10.1111/jawr.12057
277. From Standard Weather Stations to Virtual Micro-Meteorological Towers in Ungauged Sites: Modeling Tool for Surface Energy Fluxes, Evapotranspiration, Soil Temperature, and Soil Moisture Estimations J. Celis et al. https://doi.org/10.3390/rs13071271
278. Intercomparison across scales between remotely-sensed land surface temperature and representative equilibrium temperature from a distributed energy water balance model C. Corbari & M. Mancini https://doi.org/10.1080/02626667.2014.946418
279. Estimation of transpiration and canopy cover of winter wheat under different fertilization levels using thermal infrared and visible imagery T. Zhang et al. https://doi.org/10.1016/j.compag.2019.104936
280. Impact of the Spatial Domain Size on the Performance of the Ts-VI Triangle Method in Terrestrial Evapotranspiration Estimation J. Tian et al. https://doi.org/10.3390/rs5041998
281. Potential Rainwater Harvesting Improvement Using Advanced Remote Sensing Applications M. Elhag & J. Bahrawi https://doi.org/10.1155/2014/806959
282. Modelagem Simplificada Para Estimativa do Balanço de Energia à Superfície em Escala Regional (R-SSEB) A. Araújo et al. https://doi.org/10.1590/0102-77863230010
283. Validation of Global Evapotranspiration Product (MOD16) Using Flux Tower Data from Panjin Coastal Wetland, Northeast China J. Du & K. Song https://doi.org/10.1007/s11769-018-0960-8
284. Potential of water balance and remote sensing-based evapotranspiration models to predict yields of spring barley and winter wheat in the Czech Republic F. Jurečka et al. https://doi.org/10.1016/j.agwat.2021.107064
285. Estimation of Landsat-like daily evapotranspiration for crop water consumption monitoring using TSEB model and data fusion D. Chen et al. https://doi.org/10.1371/journal.pone.0267811
286. BESS-STAIR: a framework to estimate daily, 30 m, and all-weather crop evapotranspiration using multi-source satellite data for the US Corn Belt C. Jiang et al. https://doi.org/10.5194/hess-24-1251-2020
287. Impacts of Summer Extreme Precipitation Events on the Hydrothermal Dynamics of the Active Layer in the Tanggula Permafrost Region on the Qinghai‐Tibetan Plateau X. Zhu et al. https://doi.org/10.1002/2017JD026736
288. Multi-scale evaluation of global evapotranspiration products derived from remote sensing images: Accuracy and uncertainty W. Zhu et al. https://doi.org/10.1016/j.jhydrol.2022.127982
289. Basin-wide evapotranspiration management: Concept and practical application in Hai Basin, China B. Wu et al. https://doi.org/10.1016/j.agwat.2013.09.021
290. Remote Sensing for Crop Water Management: From ET Modelling to Services for the End Users A. Calera et al. https://doi.org/10.3390/s17051104
291. Characteristics of surface evapotranspiration and its response to climate and land use and land cover in the Huai River Basin of eastern China M. Li et al. https://doi.org/10.1007/s11356-020-10432-9
292. Estimating evapotranspiration in mountainous water-limited regions from thermal infrared data: Comparison of two approaches based on energy balance and evaporative fraction B. Sebbar et al. https://doi.org/10.1016/j.rse.2024.114481
293. Monitoring daily evapotranspiration in Northeast Asia using MODIS and a regional Land Data Assimilation System K. Jang et al. https://doi.org/10.1002/2013JD020639
294. Exploring evapotranspiration changes in a typical endorheic basin through the integrated observatory network Z. Xu et al. https://doi.org/10.1016/j.agrformet.2020.108010
295. Satellite-Based PT-SinRH Evapotranspiration Model: Development and Validation from AmeriFlux Data Z. Xie et al. https://doi.org/10.3390/rs16152783
296. Estimation of Daily Evapotranspiration Using Instantaneous Decoupling Coefficient From the MODIS and Field Data Y. Jiang et al. https://doi.org/10.1109/JSTARS.2018.2834469
297. Is scale really a challenge in evapotranspiration estimation? A multi-scale study in the Heihe oasis using thermal remote sensing and the three-temperature model Y. Wang et al. https://doi.org/10.1016/j.agrformet.2016.03.012
298. Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems C. Brenner et al. https://doi.org/10.1080/01431161.2018.1471550
299. High uncertainty of evapotranspiration products under extreme climatic conditions L. Qian et al. https://doi.org/10.1016/j.jhydrol.2023.130332
300. An evapotranspiration product for arid regions based on the three-temperature model and thermal remote sensing Y. Xiong et al. https://doi.org/10.1016/j.jhydrol.2015.09.050
301. Mapping Evapotranspiration from ASTER Data through GIS Spatial Integration of Vegetation and Terrain Features I. Mariotto et al. https://doi.org/10.14358/PERS.77.5.483
302. Impact of reservoir evaporation on future water availability in north-eastern Brazil: a multi-scenario assessment G. Rodrigues et al. https://doi.org/10.5194/hess-28-3243-2024
303. Evapotranspiration in the Tono Reservoir Catchment in Upper East Region of Ghana Estimated by a Novel TSEB Approach from ASTER Imagery A. Alhassan & M. Jin https://doi.org/10.3390/rs12030569
304. Satellite-based estimation of daily average net radiation under clear-sky conditions J. Hou et al. https://doi.org/10.1007/s00376-013-3047-6
305. Modelling bulk surface resistance by MODIS data and assessment of MOD16A2 evapotranspiration product in an irrigation district of Southern Italy D. Autovino et al. https://doi.org/10.1016/j.agwat.2016.01.006
306. Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computing A. Ghorbanpour et al. https://doi.org/10.3390/rs14194934
307. Influence of December snow cover over North America on January surface air temperature over the midlatitude Asia J. Li et al. https://doi.org/10.1002/joc.6235
308. Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms Y. Yao et al. https://doi.org/10.1016/j.agrformet.2017.04.011
309. Multi‐model, multi‐sensor estimates of global evapotranspiration: climatology, uncertainties and trends R. Vinukollu et al. https://doi.org/10.1002/hyp.8393
310. Different Vegetation Covers Leading to the Uncertainty and Consistency of ET Estimation: A Case Study Assessment with Extended Triple Collocation X. Li et al. https://doi.org/10.3390/rs16132484
311. Improving surface roughness lengths estimation using machine learning algorithms X. Hu et al. https://doi.org/10.1016/j.agrformet.2020.107956
312. Modeling urban evapotranspiration using remote sensing, flux footprints, and artificial intelligence S. Vulova et al. https://doi.org/10.1016/j.scitotenv.2021.147293
313. Satellite-based analysis of recent trends in the ecohydrology of a semi-arid region M. Gokmen et al. https://doi.org/10.5194/hess-17-3779-2013
314. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data Q. Mu et al. https://doi.org/10.1016/j.rse.2007.04.015
315. Estimates of Daily Evapotranspiration in the Source Region of the Yellow River Combining Visible/Near-Infrared and Microwave Remote Sensing R. Liu et al. https://doi.org/10.3390/rs13010053
316. Assessment of the Correction of the Reference Evapotranspiration at Nonirrigated Weather Stations Affected by Aridity and Delimitation of the Meteorological Conditions that Limit its Implementation I. de la Antonia Gonzalez https://doi.org/10.1007/s40710-023-00653-8
317. Calibrating an evapotranspiration model using radiometric surface temperature, vegetation cover fraction and near-surface soil moisture data B. Hssaine et al. https://doi.org/10.1016/j.agrformet.2018.02.033
318. Sensitivity and uncertainty quantification for the ECOSTRESS evapotranspiration algorithm – DisALEXI K. Cawse-Nicholson et al. https://doi.org/10.1016/j.jag.2020.102088
319. Deriving Aerodynamic Roughness Length at Ultra-High Resolution in Agricultural Areas Using UAV-Borne LiDAR K. Trepekli & T. Friborg https://doi.org/10.3390/rs13173538
320. Land–atmospheric feedbacks during droughts and heatwaves: state of the science and current challenges D. Miralles et al. https://doi.org/10.1111/nyas.13912
321. Estimation of Surface Soil Moisture Based on Improved Multi-index Models and Surface Energy Balance System M. Jahangir & M. Arast https://doi.org/10.1007/s11053-020-09728-x
322. Simulated Trends in Land Surface Sensible Heat Flux on the Tibetan Plateau in Recent Decades S. Wang et al. https://doi.org/10.3390/rs15030714
323. Comparison of three remote sensing based models for the estimation of latent heat flux over India R. Eswar et al. https://doi.org/10.1080/02626667.2017.1404067
324. Modified Penman–Monteith equation for monitoring evapotranspiration of wheat crop: Relationship between the surface resistance and remotely sensed stress index A. Amazirh et al. https://doi.org/10.1016/j.biosystemseng.2017.09.015
325. A universal triangle method for evapotranspiration estimation with MODIS products and routine meteorological observations: Algorithm development and global validation W. Zhu et al. https://doi.org/10.1016/j.agwat.2024.109017
326. Applying the Surface Energy Balance System (SEBS) remote sensing model to estimate spatial variations in evapotranspiration in Southern Zimbabwe C. Shoko et al. https://doi.org/10.1080/0035919X.2014.989933
327. Estimating Land Surface Temperature from Satellite Passive Microwave Observations with the Traditional Neural Network, Deep Belief Network, and Convolutional Neural Network S. Wang et al. https://doi.org/10.3390/rs12172691
328. Spatiotemporal Analysis of Actual Evapotranspiration and Its Causes in the Hai Basin N. Yan et al. https://doi.org/10.3390/rs10020332
329. An integrated evaluation of land surface energy fluxes over China in seven reanalysis/modeling products H. Li et al. https://doi.org/10.1002/2016JD026166
330. Combining UAV remote sensing data to estimate seasonal actual evapotranspiration and surface conductance in rice paddies J. Wang et al. https://doi.org/10.1016/j.agwat.2026.110546
331. Evaluation of two end-member-based models for regional land surface evapotranspiration estimation from MODIS data R. Tang & Z. Li https://doi.org/10.1016/j.agrformet.2014.12.005
332. Actual Evapotranspiration in the Al-Khazir Gomal Basin (Northern Iraq) Using the Surface Energy Balance Algorithm for Land (SEBAL) and Water Balance H. Jassas et al. https://doi.org/10.3390/geosciences5020141
333. A remote sensing and modeling integrated approach for constructing continuous time series of daily actual evapotranspiration H. Awada et al. https://doi.org/10.1016/j.agwat.2021.107320
334. Estimation of daily average net radiation from MODIS data and DEM over the Baiyangdian watershed in North China for clear sky days D. Long et al. https://doi.org/10.1016/j.jhydrol.2010.04.042
335. Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches D. Courault et al. https://doi.org/10.1007/s10795-005-5186-0
336. Estimation of land surface temperature from AMSR2 microwave brightness temperature using machine learning methods W. Han et al. https://doi.org/10.1080/01431161.2023.2208714
337. Mapping Regional Turbulent Heat Fluxes via Assimilation of MODIS Land Surface Temperature Data into an Ensemble Kalman Smoother Framework X. He et al. https://doi.org/10.1029/2019EA000705
338. How to Measure Evapotranspiration in Landscape-Ecological Studies? Overview of Concepts and Methods T. Pohanková et al. https://doi.org/10.2478/jlecol-2024-0017
339. Combining ATC and 3D-CNN for reconstructing spatially and temporally continuous land surface temperature H. Fu et al. https://doi.org/10.1016/j.jag.2022.102733
340. Tracking Evapotranspiration Patterns on the Yinchuan Plain with Multispectral Remote Sensing J. Meng et al. https://doi.org/10.3390/su16188025
341. Use of optical-microwave scintillometry to validate a thermal energy balance model for an olive orchard in Morocco J. Ezzahar et al. https://doi.org/10.1016/j.agwat.2026.110382
342. Estimating evapotranspiration of European forests from NOAA-imagery at satellite overpass time: Towards an operational processing chain for integrated optical and thermal sensor data products W. Verstraeten et al. https://doi.org/10.1016/j.rse.2005.03.004
343. Regional surface soil heat flux estimate from multiple remote sensing data in a temperate and semiarid basin N. Li et al. https://doi.org/10.1117/1.JRS.11.016028
344. Assessment of Roughness Length Schemes Implemented within the Noah Land Surface Model for High-Altitude Regions D. Zheng et al. https://doi.org/10.1175/JHM-D-13-0102.1
345. A method to estimate diurnal surface soil heat flux from MODIS data for a sparse vegetation and bare soil W. Zhu et al. https://doi.org/10.1016/j.jhydrol.2014.01.019
346. An improved empirical method for large spatial scale surface soil heat flux estimations W. Zhu et al. https://doi.org/10.1088/1755-1315/17/1/012124
347. Assessment on surface energy imbalance and energy partitioning using ground and satellite data over a semi-arid agricultural region in north China M. Rahman et al. https://doi.org/10.1016/j.agwat.2018.10.032
348. Estimating Completely Remote Sensing-Based Evapotranspiration for Salt Cedar (Tamarix ramosissima), in the Southwestern United States, Using Machine Learning Algorithms S. Chatterjee et al. https://doi.org/10.3390/rs15205021
349. Impact of Soil Moisture Data Resolution on Soil Moisture and Surface Heat Flux Estimates through Data Assimilation: A Case Study in the Southern Great Plains Y. Lu et al. https://doi.org/10.1175/JHM-D-18-0234.1
350. On the usefulness of remote sensing input data for spatially distributed hydrological modelling: case of the Tarim River basin in China T. Liu et al. https://doi.org/10.1002/hyp.8129
351. Analysis of energy fluxes and vegetation-atmosphere parameters in irrigated and natural ecosystems of semi-arid Brazil A. Teixeira et al. https://doi.org/10.1016/j.jhydrol.2008.08.011
352. SEBS validation in a Spanish rotating crop N. Pardo et al. https://doi.org/10.1016/j.agrformet.2014.05.007
353. Developments and Future Strategies of Earth Science from Space in China J. SHI et al. https://doi.org/10.11728/cjss2021.01.095
354. Comparison of two methods to derive time series of actual evapotranspiration using eddy covariance measurements in the southeastern Australia G. Liu et al. https://doi.org/10.1016/j.jhydrol.2012.05.011
355. Improved global evapotranspiration estimates using proportionality hypothesis-based water balance constraints J. Fu et al. https://doi.org/10.1016/j.rse.2022.113140
356. Evapotranspiration‐based irrigation management technology and its application in China* X. Lei et al. https://doi.org/10.1002/ird.2517
357. Fusion of Five Satellite-Derived Products Using Extremely Randomized Trees to Estimate Terrestrial Latent Heat Flux over Europe K. Shang et al. https://doi.org/10.3390/rs12040687
358. Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach O. López Valencia et al. https://doi.org/10.5194/hess-24-5251-2020
359. Land Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor S. Heinemann et al. https://doi.org/10.3390/rs12071075
360. Evaluation of evapotranspiration models over semi‐arid and semi‐humid areas of China Z. Yang et al. https://doi.org/10.1002/hyp.10824
361. The use of dynamic global vegetation models for simulating hydrology and the potential integration of satellite observations S. Murray et al. https://doi.org/10.1177/0309133312460072
362. Influence of vineyard row orientation on evapotranspiration estimates from a satellite-based two-source energy balance model D. Salazar-Martínez et al. https://doi.org/10.1016/j.agwat.2025.109976
363. Urban surface heat fluxes infrared remote sensing inversion and their relationship with land use types Y. Liu et al. https://doi.org/10.1007/s11442-012-0957-7
364. Validation of evapotranspiration and its long-term trends in the Yellow River source region R. Liu et al. https://doi.org/10.2166/wcc.2017.134
365. Enhancing regional-scale simulation accuracy of paddy runoff by coupling water balance models with remote sensing H. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.132798
366. Temporal Upscaling and Reconstruction of Thermal Remotely Sensed Instantaneous Evapotranspiration T. Xu et al. https://doi.org/10.3390/rs70303400
367. A distributed thermodynamic model for energy and mass balance computation: FEST–EWB C. Corbari et al. https://doi.org/10.1002/hyp.7910
368. Application of remote sensing-based two-source energy balance model for mapping field surface fluxes with composite and component surface temperatures L. Song et al. https://doi.org/10.1016/j.agrformet.2016.01.005
369. Data fusion approach for predicting high resolution estimates of crop evapotranspiration F. Shimim et al. https://doi.org/10.1007/s11119-025-10273-x
370. Development of a Simple Remote Sensing EvapoTranspiration model (Sim-ReSET): Algorithm and model test Z. Sun et al. https://doi.org/10.1016/j.jhydrol.2009.07.054
371. Comparison of Actual Evapotranspiration assessment by satellite-based model SEBS and hydrological model BBH in northern Tunisia N. Abid et al. https://doi.org/10.5194/piahs-385-471-2024
372. Angular effect of MODIS emissivity products and its application to the split-window algorithm H. Ren et al. https://doi.org/10.1016/j.isprsjprs.2011.02.008
373. Impact of the spatial resolution on the energy balance components on an open-canopy olive orchard J. Ramírez-Cuesta et al. https://doi.org/10.1016/j.jag.2018.09.001
374. Effects of land cover change on evapotranspiration in the Yellow River Delta analyzed with the SEBAL model J. Ning et al. https://doi.org/10.1117/1.JRS.11.016009
375. A global assessment of PT-JPL soil evaporation in agroecosystems with optical, thermal, and microwave satellite data L. Zhang et al. https://doi.org/10.1016/j.agrformet.2021.108455
376. Estimating actual evapotranspiration of soil-vegetation system by combining a physics-based model and machine learning Y. Zhang et al. https://doi.org/10.1080/17538947.2026.2624207
377. Comparison of Satellite Based Models for Estimating Evapotranspiration of Soybean Crop S. Kadam et al. https://doi.org/10.52151/jae2025624.1967
378. Validating MODIS-derived land surface evapotranspiration with in situ measurements at two AmeriFlux sites in a semiarid region R. Tang et al. https://doi.org/10.1029/2010JD014543
379. 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
380. Evaluating the SSEBop and RSPMPT Models for Irrigated Fields Daily Evapotranspiration Mapping with MODIS and CMADS Data Q. Zhuang et al. https://doi.org/10.3390/agriculture11050424
381. 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
382. Real-Time Estimation of Near-Surface Air Temperature over Greece Using Machine Learning Methods and LSA SAF Satellite Products A. Karagiannidis et al. https://doi.org/10.3390/rs17071112
383. Potential of Using Remote Sensing Techniques for Global Assessment of Water Footprint of Crops M. Romaguera et al. https://doi.org/10.3390/rs2041177
384. Reconciling the global terrestrial water budget using satellite remote sensing A. Sahoo et al. https://doi.org/10.1016/j.rse.2011.03.009
385. Using precipitation, vertical root distribution, and satellite‐retrieved vegetation information to parameterize water stress in a Penman‐Monteith approach to evapotranspiration modeling under Mediterranean climate Y. Bai et al. https://doi.org/10.1002/2016MS000702
386. Assessing the performance of a large-scale irrigation system by estimations of actual evapotranspiration obtained by Landsat satellite images resampled with cubic convolution H. Awada et al. https://doi.org/10.1016/j.jag.2018.10.016
387. Evapotranspiration Estimation with Small UAVs in Precision Agriculture H. Niu et al. https://doi.org/10.3390/s20226427
388. Mapping evapotranspiration with high-resolution aircraft imagery over vineyards using one- and two-source modeling schemes T. Xia et al. https://doi.org/10.5194/hess-20-1523-2016
389. Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions J. Sheffield et al. https://doi.org/10.1029/2017WR022437
390. Surface Energy Exchanges during Pre-monsoon Thunderstorm Activity over a Tropical Station Kharagpur B. Tyagi et al. https://doi.org/10.1007/s00024-013-0682-x
391. Spatio-temporal estimation of consumptive water use for assessment of irrigation system performance and management of water resources in irrigated Indus Basin, Pakistan M. Usman et al. https://doi.org/10.1016/j.jhydrol.2015.03.031
392. Land surface temperature representativeness in a heterogeneous area through a distributed energy-water balance model and remote sensing data C. Corbari et al. https://doi.org/10.5194/hess-14-2141-2010
393. Surface energy and radiation budget over a tropical station: An observational study B. Tyagi et al. https://doi.org/10.1007/s13143-012-0037-z
394. Quantifying the Responses of Evapotranspiration and Its Components to Vegetation Restoration and Climate Change on the Loess Plateau of China L. Qiu et al. https://doi.org/10.3390/rs13122358
395. The Influence of Land Surface Temperature in Evapotranspiration Estimated by the S-SEBI Model N. Rocha et al. https://doi.org/10.3390/atmos11101059
396. High-Resolution Daily Evapotranspiration Estimation in Arid Agricultural Regions Based on Remote Sensing via an Improved PT-JPL and CUWFM Fusion Framework H. Liu et al. https://doi.org/10.3390/rs18020291
397. Regional evapotranspiration estimates using the relative soil moisture ratio derived from SMAP products E. Walker et al. https://doi.org/10.1016/j.agwat.2019.02.009
398. Estimation of Evapotranspiration in South Eastern Afghanistan Using the GCOM-C Algorithm on the Basis of Landsat Satellite Imagery E. Wali et al. https://doi.org/10.3390/hydrology11070095
399. Satellite-based estimation of actual evapotranspiration in the Buyuk Menderes Basin, Turkey H. Aksu & A. Arikan https://doi.org/10.2166/nh.2016.226
400. 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. https://doi.org/10.1016/j.rse.2018.07.019
401. Remote Sensing for Vadose Zone Hydrology—A Synthesis from the Vantage Point B. Mohanty et al. https://doi.org/10.2136/vzj2013.07.0128
402. Inroads of remote sensing into hydrologic science during the WRR era D. Lettenmaier et al. https://doi.org/10.1002/2015WR017616
403. Analysis of variations and controls of evapotranspiration over major Indian River Basins (1982–2014) A. Soni & T. Syed https://doi.org/10.1016/j.scitotenv.2020.141892
404. RETRACTED: A review and modelling results of the simulated response of deforestation on climate extremes in eastern Australia R. Deo https://doi.org/10.1016/j.atmosres.2012.01.007
405. Estimating Evapotranspiration from an Improved Two-Source Energy Balance Model Using ASTER Satellite Imagery Q. Zhuang & B. Wu https://doi.org/10.3390/w7126653
406. Two improved shuttleworth-wallace models for estimating consecutive daily evapotranspiration J. Zhao et al. https://doi.org/10.1016/j.agrformet.2025.110498
407. Urbanization Effect on Regional Thermal Environment and Its Mechanisms in Arid Zone Cities: A Case Study of Urumqi A. Abulimiti et al. https://doi.org/10.3390/rs16162939
408. Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin, India P. Teluguntla et al. https://doi.org/10.1002/hyp.13748
409. Quantification of Spatiotemporal Variability of Evapotranspiration (ET) and the Contribution of Influencing Factors for Different Land Cover Types in the Yunnan Province W. Su et al. https://doi.org/10.3390/w15183309
410. Satellite-based ET mapping to assess variation in ET with timing of crop development M. Tasumi & R. Allen https://doi.org/10.1016/j.agwat.2006.08.010
411. Estimating Surface Soil Heat Flux in Permafrost Regions Using Remote Sensing-Based Models on the Northern Qinghai-Tibetan Plateau under Clear-Sky Conditions C. Yang et al. https://doi.org/10.3390/rs11040416
412. Improving the Representation of Long‐Term Storage Variations With Conceptual Hydrological Models in Data‐Scarce Regions P. Hulsman et al. https://doi.org/10.1029/2020WR028837
413. A Spatial and Temporal Correlation between Remotely Sensing Evapotranspiration with Land Use and Land Cover S. Khoshnood et al. https://doi.org/10.3390/w15061068
414. 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
415. Coupling index of water consumption and soil fertility correlated with winter wheat production in North China Region E. Xu et al. https://doi.org/10.1016/j.ecolind.2019.02.045
416. A computational study of particulate emissions from Old Moor Quarry, UK G. Joseph et al. https://doi.org/10.1016/j.jweia.2017.10.018
417. A comparison of ASCAT and modelled soil moisture over South Africa, using TOPKAPI in land surface mode S. Sinclair & G. Pegram https://doi.org/10.5194/hess-14-613-2010
418. The application of satellite sensors, current state of utilization, and sources of remote sensing dataset in hydrology for water resource management D. Abegeja https://doi.org/10.2166/wh.2024.102
419. Impacts of land-use changes and landholding fragmentation on crop water demand and drought in Wadi El-Farigh, New Delta project, Egypt M. Elsharkawy et al. https://doi.org/10.1016/j.ejrs.2022.08.002
420. Triple collocation-based multi-source evaporation and transpiration merging J. Park et al. https://doi.org/10.1016/j.agrformet.2023.109353
421. Extending the SCOPE model to combine optical reflectance and soil moisture observations for remote sensing of ecosystem functioning under water stress conditions B. Bayat et al. https://doi.org/10.1016/j.rse.2018.11.021
422. Realization of daily evapotranspiration in arid ecosystems based on remote sensing techniques M. Elhag & J. Bahrawi https://doi.org/10.5194/gi-6-141-2017
423. Partitioning Global Surface Energy and Their Controlling Factors Based on Machine Learning X. Yuan et al. https://doi.org/10.3390/rs12223712
424. Generating Hourly Continuous Evapotranspiration Using Fengyun‐2F Geostationary Satellite Data X. Geng et al. https://doi.org/10.1029/2021EA002090
425. Intercomparison of Spatially Distributed Models for Predicting Surface Energy Flux Patterns during SMACEX W. Crow et al. https://doi.org/10.1175/JHM468.1
426. Multiscale Assessment of Agricultural Consumptive Water Use in California's Central Valley A. Wong et al. https://doi.org/10.1029/2020WR028876
427. Continuous Daily Evapotranspiration Estimation at the Field-Scale over Heterogeneous Agricultural Areas by Fusing ASTER and MODIS Data Z. Yi et al. https://doi.org/10.3390/rs10111694
428. The intercomparison of six 0.1°×0.1° spatial resolution evapotranspiration products across mainland China X. Shi et al. https://doi.org/10.1016/j.jhydrol.2024.130949
429. A novel approach for estimating evapotranspiration by considering topographic effects in radiation over mountainous terrain Y. Zhang et al. https://doi.org/10.1016/j.agrformet.2025.110468
430. A worldwide evaluation of basin-scale evapotranspiration estimates against the water balance method W. Liu et al. https://doi.org/10.1016/j.jhydrol.2016.04.006
431. Evapotranspiration estimation using Landsat-8 data with a two-layer framework J. Yin et al. https://doi.org/10.1117/1.JRS.11.016034
432. The effect of pixel heterogeneity for remote sensing based retrievals of evapotranspiration in a semi-arid tree-grass ecosystem V. Burchard-Levine et al. https://doi.org/10.1016/j.rse.2021.112440
433. Refining surface net radiation estimates in arid and semi-arid climates of Iran F. Golkar et al. https://doi.org/10.1016/j.asr.2018.03.026
434. Estimating the spatial distribution of evapotranspiration within the Pra River Basin of Ghana J. Nsiah et al. https://doi.org/10.1016/j.heliyon.2021.e06828
435. Surface Energy Balance of Fresh and Saline Waters: AquaSEBS A. Abdelrady et al. https://doi.org/10.3390/rs8070583
436. Assimilation of Earth Observation Variables and In Situ Measurements in a Surface Energy Balance Model: A Case Study of a Desert City Area M. Lazzarini & H. Ghedira https://doi.org/10.1109/LGRS.2013.2258655
437. 100 Years of Progress in Hydrology C. Peters-Lidard et al. https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0019.1
438. Estimation of Hourly Actual Evapotranspiration Over the Tibetan Plateau from Multi-Source Data X. Wang et al. https://doi.org/10.2139/ssrn.4173880
439. Estimation of Soybean Evapotranspiration Using SSEBop Model with High-Resolution Imagery from an Unmanned Aerial Vehicle R. Casari et al. https://doi.org/10.1590/0102-77863910007
440. High-resolution satellite imagery reveals a recent accelerating rate of increase in land evapotranspiration H. Jaafar & L. Sujud https://doi.org/10.1016/j.rse.2024.114489
441. Large-Scale Spatial Modeling of Crop Coefficient and Biomass Production in Agroecosystems in Southeast Brazil C. De Oliveira Ferreira Silva et al. https://doi.org/10.3390/horticulturae4040044
442. An effective approach to estimate ground soil heat flux using half-order derivative method in permafrost regions of the Qinghai-Tibet Plateau C. Shang et al. https://doi.org/10.1016/j.ejrh.2025.102994
443. Evapotranspiration Estimation Using Surface Energy Balance System Model: A Case Study in the Nagqu River Basin L. Zhong et al. https://doi.org/10.3390/atmos10050268
444. Estimation of land surface evapotranspiration over complex terrain based on multi‐spectral remote sensing data X. Liu et al. https://doi.org/10.1002/hyp.11042
445. Estimation of global land surface evapotranspiration and its trend using a surface energy balance constrained deep learning model H. Chen et al. https://doi.org/10.1016/j.jhydrol.2023.130224
446. Modeling of sea surface temperature using a modified energy balance model: a regional climate change investigative approach T. Ayua et al. https://doi.org/10.1007/s00704-026-06287-8
447. Temporal Upscaling of Agricultural Evapotranspiration with an Improved Evaporative Fraction Method J. Wei et al. https://doi.org/10.3390/rs17061016
448. Determination of regional land surface heat fluxes over a heterogeneous landscape of the Jiddah area of Saudi Arabia by using Landsat‐7 ETM data Y. Ma et al. https://doi.org/10.1002/hyp.6389
449. Performance of the improved two-source energy balance model for estimating evapotranspiration over the heterogeneous surface J. Feng et al. https://doi.org/10.1016/j.agwat.2023.108159
450. Remote sensing and GIS-based WetSpass-S model for estimating actual evapotranspiration in Grombalia region, Northeast Tunisia: comparison with ETLook WaPOR model H. Sejine & M. Anane https://doi.org/10.1007/s41207-024-00628-7
451. Multi-site evaluation of terrestrial evaporation models using FLUXNET data A. Ershadi et al. https://doi.org/10.1016/j.agrformet.2013.11.008
452. Assessing Groundwater Storage Changes Using Remote Sensing–Based Evapotranspiration and Precipitation at a Large Semiarid Basin Scale M. Gokmen et al. https://doi.org/10.1175/JHM-D-12-0156.1
453. Estimation of ET and Crop Water Productivity in a Semi-Arid Region Using a Large Aperture Scintillometer and Remote Sensing-Based SETMI Model P. Singh et al. https://doi.org/10.3390/w16030422
454. Synthesizing a Regional Territorial Evapotranspiration Dataset for Northern China L. Wang et al. https://doi.org/10.3390/rs13061076
455. Physics-augmented deep learning models for improving evapotranspiration estimation in global land regions B. Liu et al. https://doi.org/10.1016/j.agwat.2025.109634
456. An overview of the LOess Plateau mesa region land surface process field EXperiment series (LOPEXs) J. Wen et al. https://doi.org/10.5194/hess-13-945-2009
457. Evaluation of Remotely Sensed Evapotranspiration Over the CEOP EOP-1 Reference Sites H. SU et al. https://doi.org/10.2151/jmsj.85A.439
458. Energy partitioning dynamics of drying terrestrial surfaces M. Aminzadeh & D. Or https://doi.org/10.1016/j.jhydrol.2014.08.037
459. Quantifying riparian total evaporation along the Groot Letaba River: A comparison between infilled and spatially downscaled satellite derived total evaporation estimates S. Gokool et al. https://doi.org/10.1016/j.jaridenv.2017.07.014
460. An idealized sensitivity study of fine particles' impact on the urban vertical temperature structure H. Wu et al. https://doi.org/10.1016/j.uclim.2023.101492
461. Seasonal and interannual variation of radiation and energy fluxes over a rain-fed cropland in the semi-arid area of Loess Plateau, northwestern China X. Chen et al. https://doi.org/10.1016/j.atmosres.2016.03.003
462. Water consumption of agriculture and natural ecosystems at the Amu Darya in Lebap Province, Turkmenistan N. Thevs et al. https://doi.org/10.1007/s12665-014-3084-1
463. Integrating super resolution mapping and SEBS modeling for evapotranspiration mapping at the field scale M. Mahour et al. https://doi.org/10.1007/s11119-015-9395-8
464. Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications Z. Li et al. https://doi.org/10.1029/2022RG000777
465. Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification K. Zhang et al. https://doi.org/10.1029/2018WR023485
466. Evaluation of alternative two-source remote sensing models in partitioning of land evapotranspiration H. Chen et al. https://doi.org/10.1016/j.jhydrol.2021.126029
467. At-Surface Reflectance and Albedo from Satellite for Operational Calculation of Land Surface Energy Balance M. Tasumi et al. https://doi.org/10.1061/(ASCE)1084-0699(2008)13:2(51)
468. Assessing multi‐sensor hourly maize evapotranspiration estimation using a one‐source surface energy balance approach E. Costa‐Filho et al. https://doi.org/10.1002/ird.2923
469. Modeling and Spatiotemporal Analysis of Actual Evapotranspiration in a Desert Steppe Based on SEBS Y. Feng et al. https://doi.org/10.3390/hydrology12080205
470. OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations A. Mokhtari et al. https://doi.org/10.1016/j.rse.2022.113443
471. Improvement approaches and performance of temperature-based remote sensing evapotranspiration models in agricultural fields: A meta analysis J. Ding et al. https://doi.org/10.1016/j.agrformet.2026.111166
472. Status of accuracy in remotely sensed and in-situ agricultural water productivity estimates: A review M. Blatchford et al. https://doi.org/10.1016/j.rse.2019.111413
473. Comparative Analysis of Satellite Remotely-Sensed Surface Energy Flux and Ground-Based Observation in the Sichuan Basin W. MIN et al. https://doi.org/10.2151/jmsj.2012-C15
474. Modelling of Basin Wide Daily Evapotranspiration with a Partial Integration of Remote Sensing Data V. Ivezic et al. https://doi.org/10.3390/atmos9040120
475. Evapotranspiration and Surface Energy Fluxes Estimation Using the Landsat-7 Enhanced Thematic Mapper Plus Image over a Semiarid Agrosystem in the North-West of Algeria N. Laounia et al. https://doi.org/10.1590/0102-7786324016
476. Evaluating evapotranspiration and water-use efficiency of terrestrial ecosystems in the conterminous United States using MODIS and AmeriFlux data X. Lu & Q. Zhuang https://doi.org/10.1016/j.rse.2010.04.001
477. Intercomparison of remote-sensing based evapotranspiration algorithms over amazonian forests J. Gomis-Cebolla et al. https://doi.org/10.1016/j.jag.2019.04.009
478. Estimating daily evapotranspiration based on a model of evaporative fraction (EF) for mixed pixels F. Li et al. https://doi.org/10.5194/hess-23-949-2019
479. Modelling stream flow and quantifying blue water using a modified STREAM model for a heterogeneous, highly utilized and data-scarce river basin in Africa J. Kiptala et al. https://doi.org/10.5194/hess-18-2287-2014
480. Precision mapping of evapotranspiration in arid basins: Spatiotemporal optimization and sensitivity to extreme climate conditions based on multi-mechanism model fusion X. Li et al. https://doi.org/10.1016/j.jhydrol.2026.135795
481. The Two-layer Surface Energy Balance Parameterization Scheme (TSEBPS) for estimation of land surface heat fluxes X. Xin & Q. Liu https://doi.org/10.5194/hess-14-491-2010
482. 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)
483. Regionalization of land surface heat fluxes over the heterogeneous landscape: from the Tibetan Plateau to the Third Pole region Y. Ma et al. https://doi.org/10.1080/01431161.2018.1508923
484. Surface energy balance-based surface urban heat island decomposition at high resolution F. Guo et al. https://doi.org/10.1016/j.rse.2024.114447
485. Accessible remote sensing data based reference evapotranspiration estimation modelling Z. Zhang et al. https://doi.org/10.1016/j.agwat.2018.07.039
486. A Full Satellite‐Driven Method for the Retrieval of Clear‐Sky Evapotranspiration P. Leng et al. https://doi.org/10.1029/2019EA000869
487. Evaluation of irrigation water use efficiency using remote sensing in the middle reach of the Heihe river, in the semi‐arid Northwestern China X. Wu et al. https://doi.org/10.1002/hyp.10365
488. Using uncertainty of Penman and Penman–Monteith methods in combined satellite and ground-based evapotranspiration estimates R. Westerhoff https://doi.org/10.1016/j.rse.2015.07.021
489. Assessing Satellite and Ground‐Based Potential Evapotranspiration for Hydrologic Applications in the Colorado River Basin M. Barik et al. https://doi.org/10.1111/1752-1688.12370
490. Determining Evapotranspiration by Using Combination Equation Models with Sentinel-2 Data and Comparison with Thermal-Based Energy Balance in a California Irrigated Vineyard G. D’Urso et al. https://doi.org/10.3390/rs13183720
491. A new roughness parameterization scheme based on vegetation dynamics and its applicability on the Tibetan Plateau Y. Yuan et al. https://doi.org/10.1016/j.jhydrol.2025.132822
492. Bias Analysis and Correction of Ground Surface Temperature Observations across China Y. Cui et al. https://doi.org/10.1007/s13351-020-0031-9
493. Evapotranspiration partitioning by integrating eddy covariance, micro-lysimeter and unmanned aerial vehicle observations: A case study in the North China Plain J. Bian et al. https://doi.org/10.1016/j.agwat.2024.108735
494. Analysis of various surface energy balance models for evapotranspiration estimation using satellite data B. Aryalekshmi et al. https://doi.org/10.1016/j.ejrs.2021.11.007
495. Inter-comparison of energy balance and hydrological models for land surface energy flux estimation over a whole river catchment R. Guzinski et al. https://doi.org/10.5194/hess-19-2017-2015
496. Estimation of Daily Actual Evapotranspiration Using Vegetation Coefficient Method for Clear and Cloudy Sky Conditions H. Shwetha & D. Kumar https://doi.org/10.1109/JSTARS.2020.2989422
497. A Novel Framework Based on Data Fusion and Machine Learning for Upscaling Evapotranspiration from Flux Towers to the Regional Scale P. Zhu et al. https://doi.org/10.3390/rs17233813
498. Practical analysis of remote sensing estimations of water use for major crops throughout the Urmia Lake basin M. Parsinejad et al. https://doi.org/10.1016/j.agwat.2021.107232
499. Estimating Impacts of Agricultural Subsurface Drainage on Evapotranspiration Using the Landsat Imagery-Based METRIC Model K. Khand et al. https://doi.org/10.3390/hydrology4040049
500. Construction of a spatially gridded heat flux map based on airborne flux Measurements using remote sensing and machine learning methods Y. Sun et al. https://doi.org/10.1016/j.agrformet.2023.109424
501. A Modified Multi-Source Parallel Model for Estimating Urban Surface Evapotranspiration Based on ASTER Thermal Infrared Data Y. Zhang et al. https://doi.org/10.3390/rs9101029
502. Evapotranspiration Acquired with Remote Sensing Thermal-Based Algorithms: A State-of-the-Art Review V. García-Santos et al. https://doi.org/10.3390/rs14143440
503. Development of the GCOM-C global ET_index estimation algorithm M. TASUMI et al. https://doi.org/10.2480/agrmet.D-15-00022
504. High resolution evapotranspiration from UAV multispectral thermal imagery: Validation and comparison with EC, Landsat, and fused S2-MODIS HSEB ET H. H. Jaafar & L. H. Sujud https://doi.org/10.1016/j.jag.2025.104359
505. Insight into runoff characteristics using hydrological modeling in the data-scarce southern Tibetan Plateau: Past, present, and future M. Cai et al. https://doi.org/10.1371/journal.pone.0176813
506. Applying Multi-source Remote Sensing Data on Estimating Ecological Water Requirement of Grassland in Ungauged Region Y. Zhang et al. https://doi.org/10.1016/j.proenv.2010.10.107
507. Improvement of the Irrigation Scheme in the ORCHIDEE Land Surface Model and Impacts of Irrigation on Regional Water Budgets Over China Z. Yin et al. https://doi.org/10.1029/2019MS001770
508. geeSSEBI: Evaluating Actual Evapotranspiration Estimated with a Google Earth Engine Implementation of S-SEBI J. Kabala et al. https://doi.org/10.3390/rs17030395
509. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation M. Anderson et al. https://doi.org/10.1029/2006JD007506
510. Intercomparison of methods for estimating land surface temperature from a Landsat-5 TM image in an arid region with low water vapour in the atmosphere J. Zhou et al. https://doi.org/10.1080/01431161.2011.617396
511. COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea N. Park et al. https://doi.org/10.1155/2017/2151809
512. Actual Evapotranspiration from UAV Images: A Multi-Sensor Data Fusion Approach A. Mokhtari et al. https://doi.org/10.3390/rs13122315
513. A MODIS-Based Energy Balance to Estimate Evapotranspiration for Clear-Sky Days in Brazilian Tropical Savannas A. Ruhoff et al. https://doi.org/10.3390/rs4030703
514. Daily Evaporative Fraction Parameterization Scheme Driven by Day–Night Differences in Surface Parameters: Improvement and Validation J. Lu et al. https://doi.org/10.3390/rs6054369
515. Upscaling analysis of aerodynamic roughness length based on in situ data at different spatial scales and remote sensing in north Tibetan Plateau G. Sun et al. https://doi.org/10.1016/j.atmosres.2016.02.025
516. Performance Assessment of a New Stationarity-Based Parameter Estimation Method with a Simplified Land Surface Model Using In Situ and Remotely Sensed Surface States J. Sun & G. Salvucci https://doi.org/10.1175/JHM-D-12-0118.1
517. Estimation of Spatial Evapotranspiration Using Terra MODIS Satellite Image and SEBAL Model Y. LEE https://doi.org/10.11108/kagis.2015.18.1.090
518. A practical method for deriving all-weather ET from remote sensing and meteorological data P. Hao et al. https://doi.org/10.1016/j.jag.2025.104948
519. Assessing regional evapotranspiration and water balance across a Mediterranean montane climate gradient R. Anderson et al. https://doi.org/10.1016/j.agrformet.2012.07.004
520. Comparing Remotely-Sensed Surface Energy Balance Evapotranspiration Estimates in Heterogeneous and Data-Limited Regions: A Case Study of Tanzania’s Kilombero Valley W. Senkondo et al. https://doi.org/10.3390/rs11111289
521. Earth Observations-Based Evapotranspiration in Northeastern Thailand C. Zheng et al. https://doi.org/10.3390/rs11020138
522. Optimizing the Runoff Estimation with HEC-HMS Model Using Spatial Evapotranspiration by the SEBS Model M. Zare et al. https://doi.org/10.1007/s11269-021-02855-x
523. Remote detection of water management impacts on evapotranspiration in the Colorado River Basin S. Castle et al. https://doi.org/10.1002/2016GL068675
524. Crop stress detection from UAVs: best practices and lessons learned for exploiting sensor synergies E. Chakhvashvili et al. https://doi.org/10.1007/s11119-024-10168-3
525. Application of SEBAL and Ts/VI Trapezoid Models for Estimating Actual Evapotranspiration in the Algerian Semi-Arid Environment to Improve Agricultural Water Management F. Sahnoun et al. https://doi.org/10.1590/0102-77863610020
526. Assessing the Complementary Role of Surface Flux Equilibrium (SFE) Theory and Maximum Entropy Production (MEP) Principle in the Estimation of Actual Evapotranspiration Y. Kim et al. https://doi.org/10.1029/2022MS003224
527. An Improvement of Roughness Height Parameterization of the Surface Energy Balance System (SEBS) over the Tibetan Plateau X. Chen et al. https://doi.org/10.1175/JAMC-D-12-056.1
528. Assimilation of multiple data types for improved heat flux prediction: A one-dimensional field study R. Pipunic et al. https://doi.org/10.1016/j.rse.2013.05.015
529. Reintroducing radiometric surface temperature into the Penman‐Monteith formulation K. Mallick et al. https://doi.org/10.1002/2014WR016106
530. Land Surface Temperature Retrieval Using Airborne Hyperspectral Scanner Daytime Mid-Infrared Data E. Zhao et al. https://doi.org/10.3390/rs61212667
531. Modeling of Indian monsoon extremes during 850-2000AD using the proxy-data from speleothems P. Kumar et al. https://doi.org/10.1016/j.quaint.2021.02.009
532. Evaluation of Methods for Aerodynamic Roughness Length Retrieval from Very High-Resolution Imaging LIDAR Observations over the Heihe Basin in China R. Faivre et al. https://doi.org/10.3390/rs9010063
533. Temporal upscaling of instantaneous evapotranspiration on clear‐sky days using the constant reference evaporative fraction method with fixed or variable surface resistances at two cropland sites R. Tang et al. https://doi.org/10.1002/2016JD025975
534. Remote sensing of land use-land cover change and climate variability on hydrological processes in Sub-Saharan Africa: key scientific strides and challenges T. Govender et al. https://doi.org/10.1080/10106049.2022.2043451
535. Assessment of Blaney-Criddle Equation for Calculating Reference Evapotranspiration with NOAA/AVHRR Data A. Rahimikhoob & M. Hosseinzadeh https://doi.org/10.1007/s11269-014-0670-7
536. Estimating spatially distributed turbulent heat fluxes from high-resolution thermal imagery acquired with a UAV system C. Brenner et al. https://doi.org/10.1080/01431161.2017.1280202
537. Artificial intelligence and remote sensing for spatial prediction of daily air temperature: case study of Souss watershed of Morocco M. Meliho et al. https://doi.org/10.1080/10095020.2021.2014765
538. Impact of regional characteristics on the estimation of root-zone soil moisture from the evaporative index or evaporative fraction S. Sahaar & J. Niemann https://doi.org/10.1016/j.agwat.2020.106225
539. Remote Sensing—Based Assessment of the Water-Use Efficiency of Maize over a Large, Arid, Regional Irrigation District L. Jiang et al. https://doi.org/10.3390/rs14092035
540. Estimation of actual evapotranspiration and its components in an irrigated area by integrating the Shuttleworth-Wallace and surface temperature-vegetation index schemes using the particle swarm optimization algorithm Y. Cui et al. https://doi.org/10.1016/j.agrformet.2021.108488
541. Spatiotemporal patterns and driving factors of evapotranspiration (natural and artificial) in the Ziya River Basin, China W. Yan et al. https://doi.org/10.1016/j.ecohyd.2023.04.012
542. Estimation and Validation of Land Surface Evaporation Using Remote Sensing and Meteorological Data in North China J. Xiong et al. https://doi.org/10.1109/JSTARS.2010.2040806
543. Evaluation of the LI-710 evapotranspiration sensor in comparison to full eddy covariance for monitoring energy fluxes in perennial and annual crops S. Peddinti & I. Kisekka https://doi.org/10.1016/j.agwat.2025.109501
544. The Improvement of Land Cover Classification by Thermal Remote Sensing L. Sun & K. Schulz https://doi.org/10.3390/rs70708368
545. A high performance GPU implementation of Surface Energy Balance System (SEBS) based on CUDA-C M. Abouali et al. https://doi.org/10.1016/j.envsoft.2012.12.005
546. Evaluating the Temperature Difference Parameter in the SSEBop Model with Satellite-Observed Land Surface Temperature Data L. Ji et al. https://doi.org/10.3390/rs11161947
547. Use of Remote Sensing to Assess the Water-Saving Effect of Winter Wheat Fallow L. Zhai et al. https://doi.org/10.3390/su131810192
548. Exploring scale‐dependent ecohydrological responses in a large endorheic river basin through integrated surface water‐groundwater modeling Y. Tian et al. https://doi.org/10.1002/2015WR016881
549. 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
550. Review of approaches for the estimation of sensible heat flux in remote sensing-based evapotranspiration models M. Mohan et al. https://doi.org/10.1117/1.JRS.14.041501
551. An improved constant evaporative fraction method for estimating daily evapotranspiration from remotely sensed instantaneous observations R. Tang & Z. Li https://doi.org/10.1002/2017GL072621
552. Reconciling the water balance of large lake systems A. Gronewold et al. https://doi.org/10.1016/j.advwatres.2020.103505
553. Interannual Variations of Evapotranspiration and Water Use Efficiency over an Oasis Cropland in Arid Regions of North-Western China H. Wang et al. https://doi.org/10.3390/w12051239
554. Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles L. Nhamo et al. https://doi.org/10.3390/agriculture10070256
555. estimation of ecosystem water consumption and the suitable scale of cultivated land in the Karamay region and Muzat River basin based on the optimized SEBAL energy balance model and water resource constraint model J. Ping et al. https://doi.org/10.1016/j.heliyon.2024.e28190
556. Downscaling and Forecasting of Evapotranspiration Using a Synthetic Model of Wavelets and Support Vector Machines Y. Kaheil et al. https://doi.org/10.1109/TGRS.2008.919819
557. Land-surface controls on afternoon precipitation diagnosed from observational data: uncertainties and confounding factors B. Guillod et al. https://doi.org/10.5194/acp-14-8343-2014
558. 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
559. Increasing evapotranspiration trend and the dominant driving factors in the oasis areas of the Tarim Basin, China J. Lang et al. https://doi.org/10.1080/15324982.2025.2491452
560. Estimating Sensible and Latent Heat Fluxes over an Inland Water Body Using Optical and Microwave Scintillometers A. Pierre et al. https://doi.org/10.1007/s10546-022-00732-7
561. Mapping basin-level water productivity using remote sensing and secondary data in the Karkheh River Basin, Iran M. Ahmad et al. https://doi.org/10.1080/02508060802663903
562. A double two-sources energy-water balance model for improving evapotranspiration estimates and irrigation management in fruit trees fields C. Corbari et al. https://doi.org/10.1016/j.agwat.2023.108522
563. Estimation of actual evapotranspiration of Mediterranean perennial crops by means of remote-sensing based surface energy balance models M. Minacapilli et al. https://doi.org/10.5194/hess-13-1061-2009
564. Investigating water use over the Choptank River Watershed using a multisatellite data fusion approach L. Sun et al. https://doi.org/10.1002/2017WR020700
565. Using regional characteristics to improve uncalibrated estimation of rootzone soil moisture from optical/thermal remote-sensing S. Sahaar et al. https://doi.org/10.1016/j.rse.2022.112982
566. Evaluation of satellite-retrieved evapotranspiration based on a nonparametric approach over an arid region X. Pan et al. https://doi.org/10.1080/01431161.2020.1763505
567. Extracting phreatic evaporation from remotely sensed maps of evapotranspiration P. Brunner et al. https://doi.org/10.1029/2007WR006063
568. How climate variations are reflected in root zone storage capacities T. de Boer-Euser et al. https://doi.org/10.1016/j.pce.2019.04.006
569. Evapotranspiration estimates from an energy-water-balance model calibrated on satellite land surface temperature over the Heihe basin N. Paciolla et al. https://doi.org/10.1016/j.jaridenv.2021.104466
570. Remote sensing estimation of urban surface evapotranspiration based on a modified Penman–Monteith model Y. Zhang et al. https://doi.org/10.1117/1.JRS.12.046006
571. Evaluating a new algorithm for satellite-based evapotranspiration for North American ecosystems: Model development and validation B. El Masri et al. https://doi.org/10.1016/j.agrformet.2019.01.025
572. Diagnostic analysis of interannual variation of global land evapotranspiration over 1982–2011: Assessing the impact of ENSO H. Yan et al. https://doi.org/10.1002/jgrd.50693
573. A Universal Ts‐VI Triangle Method for the Continuous Retrieval of Evaporative Fraction From MODIS Products W. Zhu et al. https://doi.org/10.1002/2017JD026964
574. Estimation of hourly actual evapotranspiration over the Tibetan Plateau from multi-source data X. Wang et al. https://doi.org/10.1016/j.atmosres.2022.106475
575. Regional evaporation estimates from flux tower and MODIS satellite data H. Cleugh et al. https://doi.org/10.1016/j.rse.2006.07.007
576. A framework of crop water productivity estimation from UAV observations: A case study of summer maize M. Cheng et al. https://doi.org/10.1016/j.agwat.2025.109621
577. On Parameterizing Soil Evaporation in a Direct Remote Sensing Model of ET: PT‐JPL M. Marshall et al. https://doi.org/10.1029/2019WR026290
578. Spatially explicit estimation of soil denitrification rates and land use effects in the riparian buffer zone of the large Guanting reservoir X. Wang et al. https://doi.org/10.1016/j.geoderma.2009.01.026
579. ET mapping for agricultural water management: present status and challenges P. Gowda et al. https://doi.org/10.1007/s00271-007-0088-6
580. Improvements to a MODIS global terrestrial evapotranspiration algorithm Q. Mu et al. https://doi.org/10.1016/j.rse.2011.02.019
581. A revised surface resistance parameterisation for estimating latent heat flux from remotely sensed data Y. Song et al. https://doi.org/10.1016/j.jag.2011.10.011
582. Assessment of the best management practices under a semi-arid basin using SWAT model (case of M’dez watershed, Morocco) M. Boufala et al. https://doi.org/10.1007/s40808-021-01123-6
583. Developing a dynamic semi-distributed hydrological model considering interactions between soil moisture and evapotranspiration: application of bulk transfer method M. Taheri et al. https://doi.org/10.1080/02626667.2022.2155522
584. Testing the performance of a thermal-based crop coefficient technique in Idaho as a fundamental study for global ET estimation A. FUJII & M. TASUMI https://doi.org/10.2480/agrmet.69.3.5
585. Quantifying a Reliable Framework to Estimate Hydro-Climatic Conditions via a Three-Way Interaction between Land Surface Temperature, Evapotranspiration, Soil Moisture M. Taheri et al. https://doi.org/10.3390/atmos13111916
586. Development and validation of physically constrained machine learning for improving remote sensing-based evapotranspiration estimation J. Wei et al. https://doi.org/10.1016/j.rse.2026.115460
587. Improved methods for estimating monthly and growing season ET using METRIC applied to moderate resolution satellite imagery J. Kjaersgaard et al. https://doi.org/10.1002/hyp.8394
588. Impact of water stress on Mediterranean oak savanna grasslands productivity: Implications for on-farm grazing management M. Muñoz-Gómez et al. https://doi.org/10.1016/j.agwat.2024.109025
589. Estimation of soil moisture in the root-zone from remote sensing data B. Bezerra et al. https://doi.org/10.1590/S0100-06832013000300005
590. Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study I. Al Zayed et al. https://doi.org/10.1016/j.agwat.2016.06.027
591. Utility of remote sensing-based surface energy balance models to track water stress in rain-fed switchgrass under dry and wet conditions N. Bhattarai et al. https://doi.org/10.1016/j.isprsjprs.2017.10.010
592. Analysis of the land surface heterogeneity and its impact on atmospheric variables and the aerodynamic and thermodynamic roughness lengths Y. Ma et al. https://doi.org/10.1029/2007JD009124
593. Groundwater use of a small Eucalyptus patch during the dry monsoon phase T. Enku et al. https://doi.org/10.2478/s11756-020-00430-0
594. Feasibility of Estimating Turbulent Heat Fluxes via Variational Assimilation of Reference-Level Air Temperature and Specific Humidity Observations E. Tajfar et al. https://doi.org/10.3390/rs12071065
595. Estimating selected cultivated crop water requirement-based surface energy balance algorithm M. Asadi & K. Kamran https://doi.org/10.1007/s12517-023-11386-1
596. Advances in water resources research in the Upper Blue Nile basin and the way forward: A review Y. Dile et al. https://doi.org/10.1016/j.jhydrol.2018.03.042
597. Linking observation, modelling and satellite-based estimation of global land evapotranspiration J. Zhang et al. https://doi.org/10.1080/20964471.2020.1743612
598. Approaches to assessing the daily average ground surface soil heat flux on a regional scale over the Qinghai-Tibet Plateau C. Yang et al. https://doi.org/10.1016/j.agrformet.2023.109494
599. Assessment of the Relationship Between NDVI-Based Actual Evapotranspiration by SEBS M. Arast et al. https://doi.org/10.1007/s40995-020-00895-3
600. Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces H. Nouri et al. https://doi.org/10.1002/hyp.13790
601. Characteristic Decrease in the Value of Rapeseed Evapotranspiration after Its Ripening J. Leśny et al. https://doi.org/10.3390/agronomy11122523
602. Mapping super high resolution evapotranspiration in oasis-desert areas using UAV multi-sensor data J. Wei et al. https://doi.org/10.1016/j.agwat.2023.108466
603. 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. https://doi.org/10.1080/01431161.2024.2412803
604. Validation of Satellite-Derived Sensible Heat Flux for TERRA/MODIS Images Over Three Different Landscapes Using Large Aperture Scintillometer and Eddy Covariance Measurements M. Rahman & W. Zhang https://doi.org/10.1109/JSTARS.2019.2928880
605. Comprehensive accuracy assessment of long-term geostationary SEVIRI-MSG evapotranspiration estimates across Europe B. Bayat et al. https://doi.org/10.1016/j.rse.2023.113875
606. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review G. Balsamo et al. https://doi.org/10.3390/rs10122038
607. Evapotranspiration Estimation with the S-SEBI Method from Landsat 8 Data against Lysimeter Measurements at the Barrax Site, Spain J. Sobrino et al. https://doi.org/10.3390/rs13183686
608. Deriving Hourly Evapotranspiration Rates with SEBS: A Lysimetric Evaluation P. Gowda et al. https://doi.org/10.2136/vzj2012.0110
609. Exploring the interannual and spatial variations of ET and GPP with climate by a physical model and remote sensing data in a large basin of Northeast China X. Mo et al. https://doi.org/10.1002/joc.3813
610. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. https://doi.org/10.1080/01431161.2023.2240523
611. Application of a simple algorithm to estimate daily evapotranspiration from NOAA–AVHRR images for the Iberian Peninsula J. Sobrino et al. https://doi.org/10.1016/j.rse.2007.02.017
612. 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
613. Particular uncertainties encountered in using a pre-packaged SEBS model to derive evapotranspiration in a heterogeneous study area in South Africa L. Gibson et al. https://doi.org/10.5194/hess-15-295-2011
614. Techniques for ground-based soil moisture measurement: a detailed overview M. Mukhlisin et al. https://doi.org/10.1007/s12517-021-08263-0
615. A Review of Current Methodologies for Regional Evapotranspiration Estimation from Remotely Sensed Data Z. Li et al. https://doi.org/10.3390/s90503801
616. Evaluation of Evapotranspiration Models Using Different LAI and Meteorological Forcing Data from 1982 to 2017 H. Chen et al. https://doi.org/10.3390/rs12152473
617. Estimation of regional evapotranspiration over the Hebei Plain using geostationary satellite data Y. SHU et al. https://doi.org/10.3724/SP.J.1011.2011.01151
618. Evapotranspiration simulations in ISIMIP2a—Evaluation of spatio-temporal characteristics with a comprehensive ensemble of independent datasets R. Wartenburger et al. https://doi.org/10.1088/1748-9326/aac4bb
619. Early prediction of wheat grain yield production from root-zone soil water content at heading using Crop RS-Met D. Helman et al. https://doi.org/10.1016/j.fcr.2018.12.003
620. Auto-correcting for atmospheric effects in thermal hyperspectral measurements J. Timmermans et al. https://doi.org/10.1016/j.jag.2018.04.007
621. First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry Z. Peng et al. https://doi.org/10.1016/j.rse.2023.113970
622. ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station J. Fisher et al. https://doi.org/10.1029/2019WR026058
623. Assessment of an extended SPARSE model for estimating evapotranspiration from directional thermal infrared data S. Mwangi et al. https://doi.org/10.1016/j.agrformet.2022.108882
624. Estimation of actual evapotranspiration using TDTM model and MODIS derived variables M. Ruiz-Álvarez et al. https://doi.org/10.1080/10106049.2021.2017011
625. SURFACE ENERGY BALANCE SYSTEM (SEBS) AND SATELLITE DATA FOR MONITORING WATER CONSUMPTION OF IRRIGATED SUGARCANE E. Ferreira et al. https://doi.org/10.1590/1809-4430-eng.agric.v36n6p1176-1185/2016
626. Quantifying the uncertainty in estimates of surface–atmosphere fluxes through joint evaluation of the SEBS and SCOPE models J. Timmermans et al. https://doi.org/10.5194/hess-17-1561-2013
627. Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm Y. Tikhamarine et al. https://doi.org/10.1007/s10661-020-08659-7
628. Contact and directional radiative temperature measurements of sunlit and shaded land surface components during the SEN2FLEX 2005 campaign J. Timmermans et al. https://doi.org/10.1080/01431160802036599
629. A Surface Temperature Initiated Closure (STIC) for surface energy balance fluxes K. Mallick et al. https://doi.org/10.1016/j.rse.2013.10.022
630. Simulation of Forest Evapotranspiration Using Time-Series Parameterization of the Surface Energy Balance System (SEBS) over the Qilian Mountains X. Tian et al. https://doi.org/10.3390/rs71215806
631. Estimation of Bowen ratio in complex urban area by remotely sensed data H. Gan et al. https://doi.org/10.1016/j.scs.2026.107288
632. A Modeling Framework for Deriving Daily Time Series of Evapotranspiration Maps Using a Surface Energy Balance Model K. Khand et al. https://doi.org/10.3390/rs11050508
633. An Intercomparison of Satellite-Based Daily Evapotranspiration Estimates under Different Eco-Climatic Regions in South Africa N. Majozi et al. https://doi.org/10.3390/rs9040307
634. Trends of evaporation in Brazilian tropical reservoirs using remote sensing I. Rodrigues et al. https://doi.org/10.1016/j.jhydrol.2021.126473
635. Connectivity of evapotranspiration processes in a Brazilian dryland reservoir using remote sensing I. Rodrigues et al. https://doi.org/10.1016/j.agrformet.2024.110017
636. Using satellite remote sensing to assess evapotranspiration: Case study of the upper Ewaso Ng’iro North Basin, Kenya J. Mutiga et al. https://doi.org/10.1016/j.jag.2009.09.012
637. Energy balance and irrigation performance assessments in lemon orchards by applying the SAFER algorithm to Landsat 8 images A. Teixeira et al. https://doi.org/10.1016/j.agwat.2020.106725
638. Estimating crop coefficients for pistachios and grapes using SEBAL and simple reference evapotranspiration methods in the Central basin of Iran H. Malakinezhad et al. https://doi.org/10.1007/s12517-022-10853-5
639. How can urban water bodies be designed for climate adaptation? R. Sun & L. Chen https://doi.org/10.1016/j.landurbplan.2011.11.018
640. Actual Evapotranspiration (Water Use) Assessment of the Colorado River Basin at the Landsat Resolution Using the Operational Simplified Surface Energy Balance Model R. Singh et al. https://doi.org/10.3390/rs6010233
641. Improving the Xin'anjiang hydrological model based on mass–energy balance Y. Fang et al. https://doi.org/10.5194/hess-21-3359-2017
642. Estimation of Turbulent Heat Fluxes and Gross Primary Productivity by Assimilating Land Surface Temperature and Leaf Area Index X. He et al. https://doi.org/10.1029/2020WR028224
643. Necessity and feasibility for an ET-based modern water resources management strategy: A case study of soil water resources in the Yellow River Basin H. Wang et al. https://doi.org/10.1007/s11431-009-0102-8
644. Using solar-induced chlorophyll fluorescence to estimate forest evapotranspiration X. Liu et al. https://doi.org/10.1016/j.jhydrol.2025.133595
645. Improving iterative surface energy balance convergence for remote sensing based flux calculation R. Dhungel et al. https://doi.org/10.1117/1.JRS.10.026033
646. Incorporating an iterative energy restraint for the Surface Energy Balance System (SEBS) E. Webster et al. https://doi.org/10.1016/j.rse.2017.06.012
647. Integrating Remote Sensing and Ground Methods to Estimate Evapotranspiration E. Glenn et al. https://doi.org/10.1080/07352680701402503
648. A Global Intercomparison of Modeled and Observed Land–Atmosphere Coupling* C. Ferguson et al. https://doi.org/10.1175/JHM-D-11-0119.1
649. A Simple Model for Determining Reference Evapotranspiration Using NOAA Satellite Data: a Case Study S. Alavi & A. Rahimikhoob https://doi.org/10.1007/s40710-016-0141-7
650. Evaluation of a moderate resolution imaging spectroradiometer triangle-based algorithm for evapotranspiration estimates in subalpine regions K. Knipper et al. https://doi.org/10.1117/1.JRS.10.016002
651. Seasonal effects of irrigation on land–atmosphere latent heat, sensible heat, and carbon fluxes in semiarid basin Y. Zeng et al. https://doi.org/10.5194/esd-8-113-2017
652. Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China H. Sun et al. https://doi.org/10.3390/rs14051065
653. Estimating evapotranspiration using earth observation data: A comparison between hydrological and energy balance modelling approaches T. Peerbhai et al. https://doi.org/10.1016/j.jhydrol.2022.128347
654. Impact of scale/resolution on evapotranspiration from Landsat and MODIS images V. Sharma et al. https://doi.org/10.1002/2015WR017772
655. Spatio‐temporal distribution of actual evapotranspiration in the Indus Basin Irrigation System U. Liaqat et al. https://doi.org/10.1002/hyp.10401
656. A coupled remote sensing and the Surface Energy Balance with Topography Algorithm (SEBTA) to estimate actual evapotranspiration over heterogeneous terrain Z. Gao et al. https://doi.org/10.5194/hess-15-119-2011
657. A Review of Evapotranspiration Estimation Models: Advances and Future Development Y. Xue et al. https://doi.org/10.1007/s11269-025-04191-w
658. Analysis of the effect of seasonal changes on sensitive parameters of LAI-based Penman–Monteith evapotranspiration model based on particle swarm algorithm H. Duan et al. https://doi.org/10.1007/s11600-022-00959-5
659. A dual-source energy balance model-assisted ensemble learning approach for estimating latent heat flux L. Wang et al. https://doi.org/10.1007/s00704-025-05634-5
660. An unmixing-based spatial downscaling fusion approach for the MODIS evapotranspiration product H. Lu et al. https://doi.org/10.1080/10106049.2022.2068674
661. High-Resolution Monitoring and Assessment of Evapotranspiration and Gross Primary Production Using Remote Sensing in a Typical Arid Region J. Yan et al. https://doi.org/10.3390/land10040396
662. Estimating soil moisture storage change using quasi-terrestrial water balance method J. Moiwo et al. https://doi.org/10.1016/j.agwat.2011.10.003
663. A physical-based two-source evapotranspiration model with Monin–Obukhov similarity theory M. Khan et al. https://doi.org/10.1080/15481603.2020.1857625
664. Estimating Evapotranspiration over Heterogeneous Surface with Sentinel-2 and Sentinel-3 Data: A Case Study in Heihe River Basin T. Lian et al. https://doi.org/10.3390/rs14061349
665. Synergistic estimates of global 4-day 500 m gross primary production, evapotranspiration, and ecosystem water use efficiency from satellite data Y. Sun et al. https://doi.org/10.1016/j.jhydrol.2025.133506
666. Assessing the Effects of Spatial Scales on Regional Evapotranspiration Estimation by the SEBAL Model and Multiple Satellite Datasets: A Case Study in the Agro-Pastoral Ecotone, Northwestern China X. Li et al. https://doi.org/10.3390/rs13081524
667. 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
668. Spatial and Temporal Characteristics of Evapotranspiration in the Upper Minjiang River Basin Based on the SiB2 Model B. Kong et al. https://doi.org/10.3390/land11081141
669. Actual Evapotranspiration Estimation Using Sentinel-1 SAR and Sentinel-3 SLSTR Data Combined with a Gradient Boosting Machine Model in Busia County, Western Kenya P. Musyimi et al. https://doi.org/10.3390/atmos13111927
670. The MISTIGRI thermal infrared project: scientific objectives and mission specifications J. Lagouarde et al. https://doi.org/10.1080/01431161.2012.716921
671. Detection of hydrological variations and their impacts on vegetation from multiple satellite observations in the Three-River Source Region of the Tibetan Plateau M. Xu et al. https://doi.org/10.1016/j.scitotenv.2018.05.226
672. The vertical turbulent structure within the surface boundary layer above a Vineyard in California’s Central Valley during GRAPEX J. Alfieri et al. https://doi.org/10.1007/s00271-022-00779-x
673. Continental-scale net radiation and evapotranspiration estimated using MODIS satellite observations Y. Jin et al. https://doi.org/10.1016/j.rse.2011.04.031
674. High-resolution crop yield and water productivity dataset generated using random forest and remote sensing M. Cheng et al. https://doi.org/10.1038/s41597-022-01761-0
675. Dynamic Mapping of Evapotranspiration Using an Energy Balance-Based Model over an Andean Páramo Catchment of Southern Ecuador G. Carrillo-Rojas et al. https://doi.org/10.3390/rs8020160
676. Obtenção dos fluxos de energia à superfície utilizando o algoritmo S-SEBI C. Santos & B. Silva https://doi.org/10.1590/S0102-77862010000300008
677. Intercomparison of four remote-sensing-based energy balance methods to retrieve surface evapotranspiration and water stress of irrigated fields in semi-arid climate J. Chirouze et al. https://doi.org/10.5194/hess-18-1165-2014
678. Influence of data spatial resolution in water resources management for oak-savanna distinctive vegetation patches A. Andreu et al. https://doi.org/10.5194/piahs-385-339-2024
679. Impacts of the broadband albedo on actual evapotranspiration estimated by S-SEBI model over an agricultural area C. Mattar et al. https://doi.org/10.1016/j.rse.2014.02.011
680. Groundwater-recharge estimation in the Ordos Plateau, China: comparison of methods L. Yin et al. https://doi.org/10.1007/s10040-011-0777-3
681. A Linear Relationship Between Temporal Multiband MODIS BRDF and Aerodynamic Roughness in HiWATER Wind Gradient Data . Bingfang Wu et al. https://doi.org/10.1109/LGRS.2014.2348074
682. Remote Sensing Data Fusion to Evaluate Patterns of Regional Evapotranspiration: A Case Study for Dynamics of Film-Mulched Drip-Irrigated Cotton in China’s Manas River Basin over 20 Years X. Qiao et al. https://doi.org/10.3390/rs14143438
683. Smart irrigation forecast using satellite LANDSAT data and meteo-hydrological modeling C. Corbari et al. https://doi.org/10.1016/j.agwat.2018.09.005
684. Evaluating satellite-derived evapotranspiration estimates against ground-based measurements in arid Upper Orange catchment, South Africa T. Dube et al. https://doi.org/10.1080/10106049.2026.2630432
685. Enhancing the Simplified Surface Energy Balance (SSEB) approach for estimating landscape ET: Validation with the METRIC model G. Senay et al. https://doi.org/10.1016/j.agwat.2010.10.014
686. Improving a Penman–Monteith evapotranspiration model by incorporating soil moisture control on soil evaporation in semiarid areas L. Sun et al. https://doi.org/10.1080/17538947.2013.783635
687. Paddy Field Scale Evapotranspiration Estimation Based on Two-Source Energy Balance Model with Energy Flux Constraints and UAV Multimodal Data T. Wu et al. https://doi.org/10.3390/rs17101662
688. Evapotranspiration management based on the application of SWAT for balancing water consumption: A case study in Guantao, China B. Liu & H. Gan https://doi.org/10.1007/s12040-018-0958-8
689. Validation of seven global remotely sensed ET products across Thailand using water balance measurements and land use classifications N. Sriwongsitanon et al. https://doi.org/10.1016/j.ejrh.2020.100709
690. Estimating the Surface Air Temperature by Remote Sensing in Northwest China Using an Improved Advection-Energy Balance for Air Temperature Model S. Liu et al. https://doi.org/10.1155/2016/4294219
691. Improving crop evapotranspiration estimation in the Yellow River Basin: A modified SEBAL model approach and spatiotemporal trend analysis X. Chen et al. https://doi.org/10.1016/j.agwat.2025.109771
692. Estimating surface fluxes over the north Tibetan Plateau area with ASTER imagery W. Ma et al. https://doi.org/10.5194/hess-13-57-2009
693. Comparative assessment of WRF’s parameterization scheme combinations in assessing land-surface feedback flux and its drivers: a case study of Phailin tropical cyclone S. Mandal et al. https://doi.org/10.1007/s00704-024-05032-3
694. Estimating actual evapotranspiration across China by improving the PML algorithm with a shortwave infrared-based surface water stress constraint Y. Yang https://doi.org/10.1016/j.rse.2024.114544
695. Improving Soil Water Content and Surface Flux Estimation Based on Data Assimilation Technique H. Chen et al. https://doi.org/10.3390/rs14133183
696. Stable isotopes contain substantial additive information about terrestrial carbon and water cycling B. Li et al. https://doi.org/10.1088/1748-9326/acf4ab
697. Estimation of surface heat fluxes using multi-angular observations of radiative surface temperature L. Song et al. https://doi.org/10.1016/j.rse.2020.111674
698. The Modified Soil Moisture Constraint Scheme Significantly Enhances the Evapotranspiration Simulation Accuracy of the MOD16 Model M. Guo et al. https://doi.org/10.3390/su151612460
699. Early season irrigation detection and evapotranspiration modeling of winter vegetables based on Planet satellite using water and energy balance algorithm in lower Colorado basin R. Dhungel et al. https://doi.org/10.1007/s00271-023-00874-7
700. Improving terrestrial evapotranspiration estimation using physics-guided machine learning model driven by solar-induced chlorophyll fluorescence R. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133468
701. Evaluation of Empirical Remote Sensing-Based Equations for Estimating Soil Heat Flux Z. SUN et al. https://doi.org/10.2151/jmsj.2013-505
702. Remote sensing products for predicting actual evapotranspiration and water stress footprints under different land cover M. Jahangir & M. Arast https://doi.org/10.1016/j.jclepro.2020.121818
703. Input/output inconsistencies of daily evapotranspiration conducted empirically using remote sensing data in arid environments M. Elhag et al. https://doi.org/10.1515/geo-2020-0141
704. A New Evapotranspiration Model Accounting for Advection and Its Validation during SMEX02 Y. Yang et al. https://doi.org/10.1155/2013/389568
705. Application of Remotely-Sensed Data to Estimate a Water Budget for Data-Scarce Endorheic Basins: A Case Study of Lake Urmia basin, Iran M. Bagheri et al. https://doi.org/10.1007/s12524-015-0522-9
706. 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
707. Comparison of satellite-based evapotranspiration estimates over the Tibetan Plateau J. Peng et al. https://doi.org/10.5194/hess-20-3167-2016
708. Water Consumption of Agriculture and Natural Ecosystems along the Ili River in China and Kazakhstan N. Thevs et al. https://doi.org/10.3390/w9030207
709. Multiscale analysis of existing actual evapotranspiration products over agropastoral Sahel J. Etchanchu et al. https://doi.org/10.1016/j.jhydrol.2024.132585
710. Remote sensing algorithm for surface evapotranspiration considering landscape and statistical effects on mixed pixels Z. Peng et al. https://doi.org/10.5194/hess-20-4409-2016
711. Coupled and continuous estimation of soil moisture and evaporative fraction within the remotely sensed surface temperature-vegetation index framework W. Zhu et al. https://doi.org/10.1016/j.jhydrol.2020.125827
712. Impacts of climate and vegetation on actual evapotranspiration in typical arid mountainous regions using a Budyko-based framework Y. Yu et al. https://doi.org/10.2166/nh.2020.051
713. A theoretical framework for critical canopy temperature and its application to improve remote-sensing-based estimation of evapotranspiration Z. Shi et al. https://doi.org/10.1088/1748-9326/ae33d3
714. An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance C. van der Tol et al. https://doi.org/10.5194/bg-6-3109-2009
715. Estimating basin scale evapotranspiration (ET) by water balance and remote sensing methods G. Senay et al. https://doi.org/10.1002/hyp.8379
716. Determination of regional distributions and seasonal variations of land surface heat fluxes from Landsat‐7 Enhanced Thematic Mapper data over the central Tibetan Plateau area Y. Ma et al. https://doi.org/10.1029/2005JD006742
717. Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China B. Wu et al. https://doi.org/10.1016/j.jhydrol.2012.02.043
718. Solar-induced chlorophyll fluorescence sheds light on global evapotranspiration Q. Zhang et al. https://doi.org/10.1016/j.rse.2024.114061
719. A dual-pass data assimilation scheme for estimating surface fluxes with FY3A-VIRR land surface temperature T. Xu et al. https://doi.org/10.1007/s11430-014-4964-7
720. An Integrative Information Aqueduct to Close the Gaps between Satellite Observation of Water Cycle and Local Sustainable Management of Water Resources Z. Su et al. https://doi.org/10.3390/w12051495
721. Based on the Gaussian Fitting Method to Derive Daily Evapotranspiration from Remotely Sensed Instantaneous Evapotranspiration S. Liu et al. https://doi.org/10.1155/2019/6253832
722. A new technique to map groundwater recharge in irrigated areas using a SWAT model under changing climate U. Awan & A. Ismaeel https://doi.org/10.1016/j.jhydrol.2014.08.049
723. An independent framework-based evapotranspiration model (IFEM) for dual-source: From field to regional scale S. Wang et al. https://doi.org/10.1016/j.rse.2023.113792
724. A Two-source Trapezoid Model for Evapotranspiration (TTME) from satellite imagery D. Long & V. Singh https://doi.org/10.1016/j.rse.2012.02.015
725. Evaporative water use of different land uses in the upper-Thukela river basin assessed from satellite imagery M. Kongo et al. https://doi.org/10.1016/j.agwat.2010.06.005
726. Quantification and Mapping of Satellite Driven Surface Energy Balance Fluxes in Semi-Arid to Arid Inter-Mountain Region B. Acharya et al. https://doi.org/10.3390/rs12244019
727. Natural forest regeneration is projected to reduce local temperatures S. Alibakhshi et al. https://doi.org/10.1038/s43247-024-01737-5
728. An improved algorithm to estimate the surface soil heat flux over a heterogeneous surface: A case study in the Heihe River Basin N. Li et al. https://doi.org/10.1007/s11430-014-5041-y
729. Estimates of evapotranspiration from MODIS and AMSR-E land surface temperature and moisture over the Southern Great Plains J. Sun et al. https://doi.org/10.1016/j.rse.2012.08.020
730. Open-source Google Earth Engine 30-m evapotranspiration rates retrieval: The SEBALIGEE system M. Mhawej & G. Faour https://doi.org/10.1016/j.envsoft.2020.104845
731. Assessing variability of evapotranspiration over the Ganga river basin using water balance computations T. Syed et al. https://doi.org/10.1002/2013WR013518
732. Spatial Patterns in Actual Evapotranspiration Climatologies for Europe S. Stisen et al. https://doi.org/10.3390/rs13122410
733. Improving Estimation of Evapotranspiration under Water-Limited Conditions Based on SEBS and MODIS Data in Arid Regions C. Huang et al. https://doi.org/10.3390/rs71215854
734. Comparison of MOD16 and LSA-SAF MSG evapotranspiration products over Europe for 2011 G. Hu et al. https://doi.org/10.1016/j.rse.2014.10.017
735. Accounting for Turbulence-Induced Canopy Heat Transfer in the Simulation of Sensible Heat Flux in SEBS Model S. Njuki et al. https://doi.org/10.3390/rs15061578
736. Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa A. Ramoelo et al. https://doi.org/10.3390/rs6087406
737. Spatial Representativeness of Eddy Covariance Measurements in a Coniferous Plantation Mixed with Cropland in Southeastern China W. Xiang et al. https://doi.org/10.3390/rs14195022
738. Estimating catchment evaporation and runoff using MODIS leaf area index and the Penman‐Monteith equation Y. Zhang et al. https://doi.org/10.1029/2007WR006563
739. Comparison of Latent Heat Flux Using Aerodynamic Methods and Using the Penman–Monteith Method with Satellite-Based Surface Energy Balance R. Dhungel et al. https://doi.org/10.3390/rs6098844
740. A Critical Evaluation on the Role of Aerodynamic and Canopy–Surface Conductance Parameterization in SEB and SVAT Models for Simulating Evapotranspiration: A Case Study in the Upper Biebrza National Park Wetland in Poland K. Mallick et al. https://doi.org/10.3390/w10121753
741. A comparative study of LULC classifiers for analysing the cover management factor and support practice factor in RUSLE model V. Sampath & N. Radhakrishnan https://doi.org/10.1007/s12145-022-00911-7
742. The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting H. Aboelsoud et al. https://doi.org/10.1016/j.ejrh.2023.101372
743. A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures X. Chen et al. https://doi.org/10.1029/2018JD028883
744. Evapotranspiration estimation based on the SEBAL model in the Nansi Lake Wetland of China Z. Sun et al. https://doi.org/10.1016/j.mcm.2010.11.039
745. Estimating water consumption based on meta-analysis and MODIS data for an oasis region in northwestern China W. Zhao et al. https://doi.org/10.1016/j.agwat.2018.06.035
746. Satellite-based energy balance model to estimate seasonal evapotranspiration for irrigated sorghum: a case study from the Gezira scheme, Sudan M. Bashir et al. https://doi.org/10.5194/hess-12-1129-2008
747. The data-driven solution of energy imbalance-induced structural error in evapotranspiration models X. Hu et al. https://doi.org/10.1016/j.jhydrol.2021.126205
748. Estimation of water consumption and productivity for rice through integrating remote sensing and census data in the Songnen Plain, China J. Du et al. https://doi.org/10.1007/s10333-013-0411-1
749. Evaluation of surface heat fluxes in Chiayi plain of Taiwan by remotely sensed data T. Chang et al. https://doi.org/10.1080/01431161.2010.483481
750. Surface Energy Balance-Based Model for Estimating Evapotranspiration Taking into Account Spatial Variability in Weather A. Elhaddad & L. Garcia https://doi.org/10.1061/(ASCE)0733-9437(2008)134:6(681)
751. Simplifying the revised three-temperature model for remotely estimating regional evapotranspiration and its application to a semi-arid steppe Y. Xiong & G. Qiu https://doi.org/10.1080/01431161.2014.885149
752. Parameter sensitivity analysis and optimization for a satellite‐based evapotranspiration model across multiple sites using Moderate Resolution Imaging Spectroradiometer and flux data K. Zhang et al. https://doi.org/10.1002/2016JD025768
753. Accuracy of five ground heat flux empirical simulation methods in the surface-energy-balance-based remote-sensing evapotranspiration models Z. Liu https://doi.org/10.5194/hess-26-6207-2022
754. Estimation of crop water stress index and leaf area index based on remote sensing data M. Cetin et al. https://doi.org/10.2166/ws.2023.051
755. Intercomparison and evaluation of ten global ET products at site and basin scales H. Liu et al. https://doi.org/10.1016/j.jhydrol.2022.128887
756. Contribution of potential evaporation forecasts to 10-day streamflow forecast skill for the Rhine River B. van Osnabrugge et al. https://doi.org/10.5194/hess-23-1453-2019
757. Daytime sensible heat flux estimation over heterogeneous surfaces using multitemporal land‐surface temperature observations F. Castellví et al. https://doi.org/10.1002/2015WR017587
758. The influence of Urmia Lake desiccation on an extreme snowfall event: A case study using the WRF-Lake model M. Rahimian et al. https://doi.org/10.1016/j.atmosres.2024.107327
759. Evapotranspiration Estimation and Irrigation Performance Assessment Using Remote Sensing: A Case Study of the Ergani Dam Irrigation System (Turkey) K. Doganay & B. Karatas https://doi.org/10.1002/ird.70181
760. Parameterization of the Surface Energy Balance of a Shallow Water Table Grassland Q. Tu et al. https://doi.org/10.3390/w12020523
761. Remote sensing techniques for predicting evapotranspiration from mixed vegetated surfaces H. Nouri et al. https://doi.org/10.1080/1573062X.2014.900092
762. Inter-comparison of evapotranspiration datasets over heterogeneous landscapes across Australia M. Khan et al. https://doi.org/10.1016/j.asr.2020.04.037
763. Improving Evapotranspiration Estimation in SWAT-Based Hydrologic Simulation through Data Assimilation in the SEBAL Algorithm O. Mikaeili & M. Shourian https://doi.org/10.1007/s11269-024-03854-4
764. Observation of the winter regional evaporative fraction using a UAV-based eddy covariance system over wetland area Y. Sun et al. https://doi.org/10.1016/j.agrformet.2021.108619
765. Estimation of large‐scale evaporation fields based on assimilation of remotely sensed land temperature F. Sini et al. https://doi.org/10.1029/2006WR005574
766. Comparison of Satellite Driven Surface Energy Balance Models in Estimating Crop Evapotranspiration in Semi-Arid to Arid Inter-Mountain Region B. Acharya & V. Sharma https://doi.org/10.3390/rs13091822
767. Multi-variable calibration of a semi-distributed hydrological model using streamflow data and satellite-based evapotranspiration T. Rientjes et al. https://doi.org/10.1016/j.jhydrol.2013.10.006
768. A simple surface conductance model to estimate regional evaporation using MODIS leaf area index and the Penman‐Monteith equation R. Leuning et al. https://doi.org/10.1029/2007WR006562
769. Land Surface Temperature and Emissivity Retrieval from Nighttime Middle and Thermal Infrared Images of Chinese Fengyun-3D MERSI-II H. Zeng et al. https://doi.org/10.1109/JSTARS.2021.3098579
770. Integration of the GG model with SEBAL to produce time series of evapotranspiration of high spatial resolution at watershed scales D. Long & V. Singh https://doi.org/10.1029/2010JD014092
771. Evapotranspiration and land surface temperature of typical urban green spaces in a semi-humid region: Implications for green management X. Li et al. https://doi.org/10.3389/fenvs.2022.977084
772. Satellite-Based energy balance for estimating actual sugarcane evapotranspiration in the Ethiopian Rift Valley G. Woldemariam et al. https://doi.org/10.1016/j.isprsjprs.2025.03.003
773. Enhanced daily retrieval of Evapotranspiration from a Transformer-based deep learning model combined with satellite passive microwave and optical observations F. Bu et al. https://doi.org/10.1016/j.isprsjprs.2026.05.027
774. Analysis of Land Surface Temperature and NDVI Using Geo-Spatial Technique: A Case Study of Keti Bunder, Sindh, Pakistan . Zia Ur Rehman et al. https://doi.org/10.6000/1927-5129.2015.11.69
775. Estimation of actual evapotranspiration using the Surface Energy Balance System (SEBS) algorithm in the Upper Manyame catchment in Zimbabwe D. Rwasoka et al. https://doi.org/10.1016/j.pce.2011.07.035
776. Analyzing the impact of area of interest (AOI) size and endmember selection on evapotranspiration (ET) estimation through a contextual model (SEBAL) H. Barguache et al. https://doi.org/10.1016/j.jag.2025.104514
777. Application of S-SEBI model for crop evapotranspiration using Landsat-8 data over parts of North India A. Danodia et al. https://doi.org/10.1080/10106049.2017.1374473
778. Assessment of Evapotranspiration and Soil Moisture Content Across Different Scales of Observation W. Verstraeten et al. https://doi.org/10.3390/s8010070
779. A Method of Using WRF-Simulated Surface Temperature to Estimate Daily Evapotranspiration D. Wang et al. https://doi.org/10.1175/JAMC-D-19-0287.1
780. Modelling Actual Evapotranspiration Seasonal Variability by Meteorological Data-Based Models M. Mobilia et al. https://doi.org/10.3390/hydrology7030050
781. Calibration and Validation of the SEBS Model for Actual Evapotranspiration Assessment of Medicinal Herbs in Arid and Semi‐Arid Iran: Implications for Irrigation Management A. Eslami et al. https://doi.org/10.1002/ird.70115
782. An image-based four-source surface energy balance model to estimate crop evapotranspiration from solar reflectance/thermal emission data (SEB-4S) O. Merlin et al. https://doi.org/10.1016/j.agrformet.2013.10.002
783. Region- and pixel-based image fusion for disaggregation of actual evapotranspiration F. Alidoost et al. https://doi.org/10.1080/19479832.2015.1055834
784. Energy and Mass Exchange Over Incomplete Vegetation Cover M. Abraha & M. Savage https://doi.org/10.1080/07352689.2012.656497
785. The use of scintillometry for validating aggregation schemes over heterogeneous grids J. Ezzahar & A. Chehbouni https://doi.org/10.1016/j.agrformet.2009.09.004
786. Mapping daily evapotranspiration based on spatiotemporal fusion of ASTER and MODIS images over irrigated agricultural areas in the Heihe River Basin, Northwest China Y. Li et al. https://doi.org/10.1016/j.agrformet.2017.05.023
787. Large-scale radiation and energy balances with Landsat 8 images and agrometeorological data in the Brazilian semiarid region A. Teixeira et al. https://doi.org/10.1117/1.JRS.11.016030
788. Performance of Solar-Induced Chlorophyll Fluorescence in Estimating Water-Use Efficiency in a Temperate Forest X. Lu et al. https://doi.org/10.3390/rs10050796
789. High resolution mapping of agricultural water productivity using SEBAL in a cultivated African catchment, Tanzania D. Nyolei et al. https://doi.org/10.1016/j.pce.2019.03.009
790. The study on the actual estimation of evapotranspiration in the Kuye River based on the SEBS model and its driving mechanisms H. Fan et al. https://doi.org/10.3389/fenvs.2026.1836222
791. Parameter estimation for a simple two-source evapotranspiration model using Bayesian inference and its application to remotely sensed estimations of latent heat flux at the regional scale Y. Song et al. https://doi.org/10.1016/j.agrformet.2016.03.019
792. Regional Estimation of Remotely Sensed Evapotranspiration Using the Surface Energy Balance-Advection (SEB-A) Method S. Liu et al. https://doi.org/10.3390/rs8080644
793. A Hybrid Model Coupling Physical Constraints and Machine Learning to Estimate Daily Evapotranspiration in the Heihe River Basin X. Li et al. https://doi.org/10.3390/rs16122143
794. Hyperspectral indices based on first derivative spectra closely trace canopy transpiration in a desert plant J. Jin & Q. Wang https://doi.org/10.1016/j.ecoinf.2016.06.004
795. A Review of Remote Sensing for Environmental Monitoring in China J. Li et al. https://doi.org/10.3390/rs12071130
796. A Global Implementation of Single‐ and Dual‐Source Surface Energy Balance Models for Estimating Actual Evapotranspiration at 30‐m Resolution Using Google Earth Engine H. Jaafar et al. https://doi.org/10.1029/2022WR032800
797. Incorporation of Net Radiation Model Considering Complex Terrain in Evapotranspiration Determination with Sentinel-2 Data L. Wang et al. https://doi.org/10.3390/rs14051191
798. Improving Estimation of Cropland Evapotranspiration by the Bayesian Model Averaging Method with Surface Energy Balance Models H. Sun et al. https://doi.org/10.3390/atmos10040188
799. Mapping soil moisture across the Tibetan Plateau plains using Aquarius active and passive L-band microwave observations Q. Wang et al. https://doi.org/10.1016/j.jag.2019.01.005
800. Hydrologic responses to land cover change: the case of Jedeb mesoscale catchment, Abay/Upper Blue Nile basin, Ethiopia S. Tekleab et al. https://doi.org/10.1002/hyp.9998
801. Monitoring Water and Energy Cycles at Climate Scale in the Third Pole Environment (CLIMATE-TPE) Z. Su et al. https://doi.org/10.3390/rs13183661
802. Rice growth period detection and paddy field evapotranspiration estimation based on an improved SEBAL model: Considering the applicable conditions of the advection equation J. Wei et al. https://doi.org/10.1016/j.agwat.2023.108141
803. Estimation and Validation of Actual Evapotranspiration (ETa) of Maize Wheat Cropping System Using SSEBop Model Over IARI Research Farm, New Delhi, India J. Mukherjee et al. https://doi.org/10.1007/s12524-021-01350-5
804. Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture K. Ribeiro-Gomes et al. https://doi.org/10.3390/s17102173
805. Characterization of spatial and temporal distribution of evapotranspiration in the Dawen River Basin and analysis of driving factors Z. Wang et al. https://doi.org/10.1007/s12665-024-12078-z
806. Influences of leaf area index and albedo on estimating energy fluxes with HOLAPS framework J. Peng et al. https://doi.org/10.1016/j.jhydrol.2019.124245
807. Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop I. Trigo et al. https://doi.org/10.1016/j.isprsjprs.2021.03.013
808. Integration of Remote Sensing Evapotranspiration into Multi-Objective Calibration of Distributed Hydrology–Soil–Vegetation Model (DHSVM) in a Humid Region of China S. Pan et al. https://doi.org/10.3390/w10121841
809. Improving LST Downscaling Quality on Regional and Field-Scale by Parameterizing the DisTrad Method T. Ibrahim et al. https://doi.org/10.3390/ijgi11060327
810. Vegetation restoration dominated the variation of water use efficiency in China Y. Xue et al. https://doi.org/10.1016/j.jhydrol.2022.128257
811. Angular Modeling of the Components of Net Radiation in Agricultural Crops and Its Implications on Energy Balance Closure F. Paz et al. https://doi.org/10.3390/w13213028
812. Seasonal and inter-annual variation in surface energy fluxes and forcing parameters in agro-climatic regions of India I. Choudhury https://doi.org/10.1080/01431161.2015.1035406
813. Land use/cover change and regional climate change in an arid grassland ecosystem of Inner Mongolia, China Z. Li et al. https://doi.org/10.1016/j.ecolmodel.2016.07.019
814. Examining the relationship between intermediate-scale soil moisture and terrestrial evaporation within a semi-arid grassland R. Jana et al. https://doi.org/10.5194/hess-20-3987-2016
815. Simulation of water productivity of wheat in northwestern Bangladesh using multi-satellite data A. Islam et al. https://doi.org/10.1016/j.agwat.2023.108242
816. Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion R. Guzinski et al. https://doi.org/10.3390/rs12091433
817. Integration of soil moisture in SEBS for improving evapotranspiration estimation under water stress conditions M. Gokmen et al. https://doi.org/10.1016/j.rse.2012.02.003
818. Development of a new UAV-thermal imaging based model for estimating pecan evapotranspiration E. Mokari et al. https://doi.org/10.1016/j.compag.2022.106752
819. Comparison of Crop Evapotranspiration and Water Productivity of Typical Delta Irrigation Areas in Aral Sea Basin Z. Liu et al. https://doi.org/10.3390/rs14020249
820. Estimation of surface latent heat fluxes in an oasis utilizing a two-source energy balance model based on land surface temperature decomposition R. Wang et al. https://doi.org/10.1117/1.JRS.13.034504
821. Components of near-surface energy balance derived from satellite soundings – Part 2: Noontime latent heat flux K. Mallick et al. https://doi.org/10.5194/bg-11-7369-2014
822. Land surface temperature retrieval from AMSR-E passive microwave data E. Zhao et al. https://doi.org/10.1364/OE.25.00A940
823. Improving the evapotranspiration estimation by considering the effect of flux footprint climatology J. Bian et al. https://doi.org/10.1016/j.jhydrol.2024.130769
824. Spatially Disaggregating Satellite Land Surface Temperature With a Nonlinear Model Across Agricultural Areas K. Liu et al. https://doi.org/10.1029/2019JG005227
825. Evapotranspiration Estimation for Tibetan Plateau Headwaters Using Conjoint Terrestrial and Atmospheric Water Balances and Multisource Remote Sensing X. Li et al. https://doi.org/10.1029/2019WR025196
826. Estimating zero-plane displacement height and aerodynamic roughness length using synthesis of LiDAR and SPOT-5 data X. Tian et al. https://doi.org/10.1016/j.rse.2011.04.033
827. Multi-objective calibration and evaluation of the ORCHIDEE land surface model over France at high resolution P. Huang et al. https://doi.org/10.5194/hess-28-4455-2024
828. Forecasting of Remotely Sensed Daily Evapotranspiration Data Over Nile Delta Region, Egypt A. Psilovikos & M. Elhag https://doi.org/10.1007/s11269-013-0368-2
829. Parameterization of heat fluxes at heterogeneous surfaces by integrating satellite measurements with surface layer and atmospheric boundary layer observations Y. Ma et al. https://doi.org/10.1007/s00376-009-9024-4
830. Water balance‐based actual evapotranspiration reconstruction from ground and satellite observations over the conterminous United States Z. Wan et al. https://doi.org/10.1002/2015WR017311
831. Modeling soil heat flux from MODIS products for arid regions F. Aliabad & E. Ghaderpour https://doi.org/10.1016/j.ecoinf.2025.103005
832. Remotely sensed latent heat fluxes for model error diagnosis: a case study J. Schuurmans et al. https://doi.org/10.5194/hess-15-759-2011
833. A review of satellite-derived terrestrial evapotranspiration: theories, methods and products Y. Yao et al. https://doi.org/10.1186/s13717-026-00688-3
834. Determining Regional Actual Evapotranspiration of Irrigated Crops and Natural Vegetation in the São Francisco River Basin (Brazil) Using Remote Sensing and Penman-Monteith Equation A. Teixeira https://doi.org/10.3390/rs0251287
835. Derived Optimal Linear Combination Evapotranspiration (DOLCE): a global gridded synthesis ET estimate S. Hobeichi et al. https://doi.org/10.5194/hess-22-1317-2018
836. Long-Term (1986–2015) Crop Water Use Characterization over the Upper Rio Grande Basin of United States and Mexico Using Landsat-Based Evapotranspiration G. Senay et al. https://doi.org/10.3390/rs11131587
837. Near-Surface Air Temperature Estimation Based on an Improved Conditional Generative Adversarial Network J. Zheng et al. https://doi.org/10.3390/s24185972
838. Generation of spatio-temporally continuous evapotranspiration and its components by coupling a two-source energy balance model and a deep neural network over the Heihe River Basin Y. Cui et al. https://doi.org/10.1016/j.jhydrol.2021.126176
839. Daily Actual Evapotranspiration Estimation in a Mediterranean Ecosystem from Landsat Observations Using SEBAL Approach H. Awada et al. https://doi.org/10.3390/f12020189
840. A modified MOD16 algorithm to estimate evapotranspiration over alpine meadow on the Tibetan Plateau, China Y. Chang et al. https://doi.org/10.1016/j.jhydrol.2018.03.054
841. Estimating surface heat and water vapor fluxes by combining two-source energy balance model and back-propagation neural network J. Feng et al. https://doi.org/10.1016/j.scitotenv.2020.138724
842. Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation M. Cheng et al. https://doi.org/10.5194/essd-13-3995-2021
843. Landscape-scale hydrologic response of plant invasion relative to native vegetation in urban forests K. Singh et al. https://doi.org/10.1016/j.scitotenv.2021.149903
844. Estimación de la evapotranspiración real en zonas de llanura mediante productos de humedad de suelo de la misión SMAP E. Walker et al. https://doi.org/10.4995/raet.2018.10566
845. Influence of agricultural practices on micrometerological spatial variations at local and regional scales D. Courault et al. https://doi.org/10.1080/01431160802459551
846. Daily Evapotranspiration Estimation Using HJ-1 Data for Irrigation Water Management in a Desert-Oasis Irrigation District, Northwest China Z. Yi et al. https://doi.org/10.1051/matecconf/201824602006
847. Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin M. Tasumi https://doi.org/10.1016/j.agwat.2019.105805
848. Evaluation of land surface radiation balance derived from moderate resolution imaging spectroradiometer (MODIS) over complex terrain and heterogeneous landscape on clear sky days Y. Ryu et al. https://doi.org/10.1016/j.agrformet.2008.05.008
849. An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season L. Yuan et al. https://doi.org/10.1029/2020JD032787
850. 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
851. Long-term changes in evapotranspiration over China and attribution to climatic drivers during 1980–2010 S. Li et al. https://doi.org/10.1016/j.jhydrol.2021.126037
852. Shifting from homogeneous to heterogeneous surfaces in estimating terrestrial evapotranspiration: Review and perspectives Y. Liu et al. https://doi.org/10.1007/s11430-020-9834-y
853. Integration of two semi-physical models of terrestrial evapotranspiration using the China Meteorological Forcing Dataset M. Liu et al. https://doi.org/10.1080/01431161.2018.1482026
854. Evaluation of satellite-based evapotranspiration estimates in China L. Huang et al. https://doi.org/10.1117/1.JRS.11.026019
855. Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. https://doi.org/10.1016/j.rse.2022.113324
856. Assessment of Multi-Source Evapotranspiration Products over China Using Eddy Covariance Observations S. Li et al. https://doi.org/10.3390/rs10111692
857. Automatically selecting hot and cold pixels for satellite actual evapotranspiration estimation under different topographic and climatic conditions M. Saboori et al. https://doi.org/10.1016/j.agwat.2021.106763
858. Evaluating catchment‐scale hydrological modeling by means of terrestrial gravity observations S. Hasan et al. https://doi.org/10.1029/2007WR006321
859. Crop Water Requirements and Suitability Assessment in Arid Environments: A New Approach A. Elnashar et al. https://doi.org/10.3390/agronomy11020260
860. A Hybrid Bulk Algorithm to Predict Turbulent Fluxes over Dry and Wet Bare Soils A. Grachev et al. https://doi.org/10.1175/JAMC-D-20-0232.1
861. Remote estimation of terrestrial evapotranspiration without using meteorological data Y. Yang et al. https://doi.org/10.1002/grl.50450
862. Evaporation rates in a vital lake: a 34-year assessment for the Karaoun Lake M. Mhawej et al. https://doi.org/10.1080/01431161.2020.1739354
863. Estimation of evapotranspiration in an arid region by remote sensing—A case study in the middle reaches of the Heihe River Basin X. Li et al. https://doi.org/10.1016/j.jag.2011.09.008
864. Evaluation of two strategies from the SEBS model for estimating the daily terrestrial evapotranspiration values of the Tibetan Plateau Y. Kan et al. https://doi.org/10.1016/j.jhydrol.2025.132921
865. Evaluating evaporation rate from high Aswan Dam Reservoir using RS and GIS techniques A. Hassan et al. https://doi.org/10.1016/j.ejrs.2017.10.001
866. Regional Distribution of Net Radiation over Different Ecohydrological Land Surfaces M. Rahman et al. https://doi.org/10.3390/atmos11111229
867. Energy balance quantification using Landsat 8 images and SAFER algorithm in Mashhad, Razavi Khorasan, Iran S. Dehziari & S. Sanaienejad https://doi.org/10.1117/1.JRS.13.014528
868. A calibration free radiation driven model for estimating actual evapotranspiration of mountain grasslands (CLIME-MG) D. Gisolo et al. https://doi.org/10.1016/j.jhydrol.2022.127948
869. Evapotranspiration estimation over agricultural plains using MODIS data for all sky conditions T. Luo et al. https://doi.org/10.1080/01431161.2015.1009648
870. Mapping regional evapotranspiration in cloudy skies via variational assimilation of all-weather land surface temperature observations X. He et al. https://doi.org/10.1016/j.jhydrol.2020.124790
871. Comparison of Differences in Actual Cropland Evapotranspiration under Two Irrigation Methods Using Satellite-Based Model Y. Liu et al. https://doi.org/10.3390/rs16010175
872. Regional estimates of evapotranspiration over Northern China using a remote-sensing-based triangle interpolation method H. Wang & G. Jia https://doi.org/10.1007/s00376-013-2294-x
873. Consistency between In Situ, Model-Derived and High-Resolution-Image-Based Soil Temperature Endmembers: Towards a Robust Data-Based Model for Multi-Resolution Monitoring of Crop Evapotranspiration V. Stefan et al. https://doi.org/10.3390/rs70810444
874. Improving remotely sensed actual evapotranspiration estimation with raster meteorological data I. Cherif et al. https://doi.org/10.1080/01431161.2015.1084439
875. An improved framework for anchor pixel selection in the Surface Energy Balance Model (SEBAL) for consistent estimation of evapotranspiration M. Noufia et al. https://doi.org/10.1080/01431161.2026.2689172
876. A Quantitative Inspection on Spatio-Temporal Variation of Remote Sensing-Based Estimates of Land Surface Evapotranspiration in South Asia A. Li et al. https://doi.org/10.3390/rs70404726
877. Comprehensive study of energy and water exchange over the Tibetan Plateau: A review and perspective: From GAME/Tibet and CAMP/Tibet to TORP, TPEORP, and TPEITORP Y. Ma et al. https://doi.org/10.1016/j.earscirev.2023.104312
878. Comparison of three dual‐source remote sensing evapotranspiration models during the MUSOEXE‐12 campaign: Revisit of model physics Y. Yang et al. https://doi.org/10.1002/2014WR015619
879. Evapotranspiration data assimilation with genetic algorithms and SWAP model for on-demand irrigation A. Irmak & B. Kamble https://doi.org/10.1007/s00271-009-0193-9
880. Retrieval of canopy component temperatures through Bayesian inversion of directional thermal measurements J. Timmermans et al. https://doi.org/10.5194/hess-13-1249-2009
881. A Method for Deriving the Boundary Layer Mixing Height from MODIS Atmospheric Profile Data X. Feng et al. https://doi.org/10.3390/atmos6091346
882. Evapotranspiration and water yield over China's landmass from 2000 to 2010 Y. Liu et al. https://doi.org/10.5194/hess-17-4957-2013
883. Monitoring and Modeling the Tibetan Plateau’s climate system and its impact on East Asia Y. Ma et al. https://doi.org/10.1038/srep44574
884. Estimates of spatial variation in evaporation using satellite‐derived surface temperature and a water balance model L. Bouwer et al. https://doi.org/10.1002/hyp.6636
885. Spatiotemporal assessment of actual evapotranspiration using satellite remote sensing technique in the Nile Delta, Egypt H. Fawzy et al. https://doi.org/10.1016/j.aej.2020.11.001
886. Dual-model approaches for evapotranspiration analyses over homo- and heterogeneous land surface conditions K. Byun et al. https://doi.org/10.1016/j.agrformet.2014.07.001
887. 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
888. Coupled estimation of surface heat fluxes and vegetation dynamics from remotely sensed land surface temperature and fraction of photosynthetically active radiation S. Bateni et al. https://doi.org/10.1002/2013WR014573
889. Integrated Methodology for Estimating Water Use in Mediterranean Agricultural Areas T. Alexandridis et al. https://doi.org/10.3390/rs1030445
890. Quantifying soybean evapotranspiration using an eddy covariance approach S. Anapalli et al. https://doi.org/10.1016/j.agwat.2018.07.023
891. Estimating the Actual Evapotranspiration Using Remote Sensing and SEBAL Model in an Arid Environment of Northwest China X. Chen et al. https://doi.org/10.3390/w15081555
892. Optimizing variable rate irrigation using model and satellite-based dynamic prescription maps C. Corbari et al. https://doi.org/10.1016/j.agwat.2024.108896
893. Estimation of surface energy fluxes from remotely sensed data over Akure, Nigeria K. Ogunjobi et al. https://doi.org/10.1007/s41324-017-0149-8
894. Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data X. Chen et al. https://doi.org/10.1029/2020JD032873
895. Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps B. Tran et al. https://doi.org/10.5194/hess-27-4505-2023
896. Multi-pixel Calibration of a Distributed Energy Water Balance Model Using Satellite Data of Land Surface Temperature and Eddy Covariance Data C. Corbari et al. https://doi.org/10.1016/j.proenv.2013.06.033
897. Remote sensing-based estimation of actual evapotranspiration using the SEBAL model: application to the Dashte Abbas Plain, Iran P. Mirkhorli et al. https://doi.org/10.1007/s10333-026-01072-9
898. Evaluating Landsat 8 evapotranspiration for water use mapping in the Colorado River Basin G. Senay et al. https://doi.org/10.1016/j.rse.2015.12.043
899. Feasibility of Retrieving Land Surface Heat Fluxes from ASTER Data Using SEBS: a Case Study from the NamCo Area of the Tibetan Plateau W. Ma et al. https://doi.org/10.1657/1938-4246-43.2.239
900. Resolve the Clear‐Sky Continuous Diurnal Cycle of High‐Resolution ECOSTRESS Evapotranspiration and Land Surface Temperature J. Wen et al. https://doi.org/10.1029/2022WR032227
901. Spatial extrapolation of lysimeter results using thermal infrared imaging B. Voortman et al. https://doi.org/10.1016/j.jhydrol.2016.09.064
902. Effects of topography on the spatial distribution of evapotranspiration over a complex terrain using two‐source energy balance model with ASTER data H. Kafle & Y. Yamaguchi https://doi.org/10.1002/hyp.7336
903. Complementary relationship estimation of actual evapotranspiration in extreme cold and arid areas: a case study of the Hotan River Basin, northwest China X. Zhang et al. https://doi.org/10.2166/nh.2017.104
904. Quantifying the contribution of riparian total evaporation to streamflow transmission losses: Preliminary investigations along the Groot Letaba river S. Gokool et al. https://doi.org/10.1016/j.pce.2019.11.002
905. Calculating net radiation of freshwater reservoir to estimate spatial distribution of evaporation using satellite images R. Ghahreman & M. Rahimzadegan https://doi.org/10.1016/j.jhydrol.2021.127392
906. A Thermal Disaggregation Model Based on Trapezoid Interpolation K. Liu et al. https://doi.org/10.1109/JSTARS.2018.2790002
907. Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies M. McCabe et al. https://doi.org/10.1016/j.rse.2007.03.027
908. Land-surface evapotranspiration derived from a first-principles primary production model S. Tan et al. https://doi.org/10.1088/1748-9326/ac29eb
909. Monitoring of Evapotranspiration in a Semi-Arid Inland River Basin by Combining Microwave and Optical Remote Sensing Observations G. Hu & L. Jia https://doi.org/10.3390/rs70303056
910. Groundwater Resource Assessment Using Modelling and Remote Sensing: A Case Study of Sesheke, Zambia J. Kabika et al. https://doi.org/10.53974/unza.jonas.1.1.477
911. Using high-spatiotemporal thermal satellite ET retrievals to monitor water use over California vineyards of different climate, vine variety and trellis design K. Knipper et al. https://doi.org/10.1016/j.agwat.2020.106361
912. Estimation of water requirements for a drip-irrigated apple orchard using Landsat 7 satellite images D. de la Fuente-Sáiz et al. https://doi.org/10.17660/ActaHortic.2017.1150.26
913. Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. https://doi.org/10.3390/w14071157
914. A Satellite-Based Tool for Mapping Evaporation in Inland Water Bodies: Formulation, Application, and Operational Aspects E. Matta et al. https://doi.org/10.3390/rs14112636
915. A method for estimating soil moisture storage in regions under water stress and storage depletion: a case study of Hai River Basin, North China J. Moiwo et al. https://doi.org/10.1002/hyp.7991
916. Methodological comparison of alpine meadow evapotranspiration on the Tibetan Plateau, China Y. Chang et al. https://doi.org/10.1371/journal.pone.0189059
917. Improving a land surface scheme for estimating sensible and latent heat fluxes above grasslands with contrasting soil moisture zones K. Ishola et al. https://doi.org/10.1016/j.agrformet.2020.108151
918. Hydrometeorological application of a microwave link: 1. Evaporation H. Leijnse et al. https://doi.org/10.1029/2006WR004988
919. Imbalanced supply and demand of temperature regulation service provided by urban forests: A case study in Shenzhen, China H. Li et al. https://doi.org/10.1016/j.ecolind.2022.109666
920. Seasonal variation in canopy reflectance and its application to determine the water status and water use by citrus trees in the Western Cape, South Africa S. Dzikiti et al. https://doi.org/10.1016/j.agrformet.2011.03.007
921. Evapotranspiration Retrieval Under Different Aridity Conditions Over North American Grasslands Q. Liao et al. https://doi.org/10.1109/TGRS.2020.2980453
922. Modeling the influence of land surface flux on the regional climate of the Tibetan Plateau W. Ma & Y. Ma https://doi.org/10.1007/s00704-015-1495-x
923. Surface energy fluxes in the Northeast Asia ecosystem: SEBS and METRIC models using Landsat satellite images U. Liaqat & M. Choi https://doi.org/10.1016/j.agrformet.2015.08.245
924. A method for downscaling daily evapotranspiration based on 30-m surface resistance S. Tan et al. https://doi.org/10.1016/j.jhydrol.2019.06.054
925. Modeling the Near-Surface Energies and Water Vapor Fluxes Behavior in Response to Summer Canopy Density across Yanqi Endorheic Basin, Northwestern China P. Kayumba et al. https://doi.org/10.3390/rs13183764
926. Combining a Two Source Energy Balance Model Driven by MODIS and MSG-SEVIRI Products with an Aggregation Approach to Estimate Turbulent Fluxes over Sparse and Heterogeneous Vegetation in Sahel Region (Niger) B. Hssaine et al. https://doi.org/10.3390/rs10060974
927. Trend analysis of reference evapotranspiration: Case study of Ogun-Osun River Basin, Nigeria H. Alabi et al. https://doi.org/10.1016/j.nexres.2026.101796
928. Land surface emissivity change in China from 2001 to 2010 X. Wang et al. https://doi.org/10.1007/s11442-012-0935-0
929. A Hybrid Dual-Source Model of Estimating Evapotranspiration over Different Ecosystems and Implications for Satellite-Based Approaches H. Lu et al. https://doi.org/10.3390/rs6098359
930. Estimation of surface energy fluxes in the permafrost region of the Tibetan Plateau based on in situ measurements and the surface energy balance system model J. Yao et al. https://doi.org/10.1002/joc.6551
931. Evaluation of the SEBS for upscaling the evapotranspiration based on in-situ observations over the Tibetan Plateau W. Ma et al. https://doi.org/10.1016/j.atmosres.2013.10.020
932. Satellite-based crop coefficient and regional water use estimates for Hawaiian sugarcane H. Zhang et al. https://doi.org/10.1016/j.fcr.2015.05.023
933. Artificial Neural Network Model of Soil Heat Flux over Multiple Land Covers in South America B. de Andrade et al. https://doi.org/10.3390/rs13122337
934. Single-Source Energy Balance Model Inversion of Actual Evapotranspiration from Irrigated Pasture and Analysis of Its Spatio-Temporal Characteristics 佳. 牛 https://doi.org/10.12677/GSER.2024.131021
935. Impact of Multitemporal Land Use and Land Cover Change on Land Surface Temperature Due to Urbanization in Hefei City, China J. Sun & S. Ongsomwang https://doi.org/10.3390/ijgi10120809
936. 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
937. The impact of coastal development on land surface temperature in the mangrove ecosystem of the Chattogram coast in Bangladesh H. Alam et al. https://doi.org/10.1007/s11852-022-00869-0
938. Assessment of consumption and availability of water in the upper Omo-Gibe basin, Ethiopia M. Nesru et al. https://doi.org/10.1007/s12517-019-4897-8
939. Comparative analysis of the pysebal model and lysimeter for estimating actual evapotranspiration of soybean crop in Adana, Turkey A. SAWADOGO et al. https://doi.org/10.26833/ijeg.573503
940. Estimating missing hourly climatic data using artificial neural network for energy balance based ET mapping applications E. Koksal et al. https://doi.org/10.1002/met.1644
941. Comparison of Three Operative Models for Estimating the Surface Water Deficit Using ASTER Reflective and Thermal Data M. García et al. https://doi.org/10.3390/s7060860
942. Estimations of Land Surface Characteristic Parameters and Turbulent Heat Fluxes over the Tibetan Plateau Based on FY-4A/AGRI Data N. Ge et al. https://doi.org/10.1007/s00376-020-0169-5
943. Mapping regional turbulent heat fluxes via variational assimilation of land surface temperature data from polar orbiting satellites T. Xu et al. https://doi.org/10.1016/j.rse.2018.11.023
944. Evaluation of the Weak Constraint Data Assimilation Approach for Estimating Turbulent Heat Fluxes at Six Sites X. He et al. https://doi.org/10.3390/rs10121994
945. Estimating evapotranspiration based on the satellite-retrieved near-infrared reflectance of vegetation (NIRv) over croplands L. Tang et al. https://doi.org/10.1080/15481603.2021.1947622
946. Verification of land surface evapotranspiration estimation from remote sensing spatial contextual information R. Tang et al. https://doi.org/10.1002/hyp.8341
947. 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
948. Multi-variable calibration of hydrological model in the upper Omo-Gibe basin, Ethiopia M. Nesru et al. https://doi.org/10.1007/s11600-020-00417-0
949. Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data P. He et al. https://doi.org/10.3390/rs15082095
950. ETWatch cloud: APIs for regional actual evapotranspiration data generation F. Wu et al. https://doi.org/10.1016/j.envsoft.2021.105174
951. Recent trends (2003–2013) of land surface heat fluxes on the southern side of the central Himalayas, Nepal P. Amatya et al. https://doi.org/10.1002/2015JD023510
952. Satellite-based observations of hydrological processes Q. Tang et al. https://doi.org/10.1080/01431161.2010.483496
953. Development of a deterministic downscaling algorithm for remote sensing soil moisture footprint using soil and vegetation classifications Y. Shin & B. Mohanty https://doi.org/10.1002/wrcr.20495
954. Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin A. Ruhoff et al. https://doi.org/10.1080/02626667.2013.837578
955. Socio‐ecohydrology and the urban water challenge D. Pataki et al. https://doi.org/10.1002/eco.209
956. Long-term water stress and drought assessment of Mediterranean oak savanna vegetation using thermal remote sensing M. González-Dugo et al. https://doi.org/10.5194/hess-25-755-2021
957. Developing an Automated Python Surface Energy Balance System (PySEBS) Software for Calculating Actual Evapotranspiration-Software Development and Application Case in Jilin Province, China H. Liu et al. https://doi.org/10.3390/rs14215629
958. A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses L. Karthikeyan et al. https://doi.org/10.1016/j.jhydrol.2020.124905
959. A novel approach for next generation water-use mapping using Landsat and Sentinel-2 satellite data R. Singh et al. https://doi.org/10.1080/02626667.2020.1817461
960. Numerical study of the impacts of urban expansion on Meiyu precipitation over Eastern China X. Ma & Y. Zhang https://doi.org/10.1007/s13351-015-4063-5
961. 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. https://doi.org/10.1007/s00271-022-00768-0
962. The effect of embedding actual evapotranspiration uncertainty in water balance model: coupling of interval-based hydrologic model and METRIC method M. Khodadadi et al. https://doi.org/10.1007/s11600-023-01112-6
963. Estimation of High-Resolution Land Surface Shortwave Albedo From AVIRIS Data T. He et al. https://doi.org/10.1109/JSTARS.2014.2302234
964. The predictability of reported drought events and impacts in the Ebro Basin using six different remote sensing data sets C. Linés et al. https://doi.org/10.5194/hess-21-4747-2017
965. Evapotranspiration estimation using SMAP soil moisture products and bouchet complementary evapotranspiration over Southern Great Plains E. Walker et al. https://doi.org/10.1016/j.jaridenv.2019.01.002
966. Understanding of Coupled Terrestrial Carbon, Nitrogen and Water Dynamics—An Overview B. Chen & N. Coops https://doi.org/10.3390/s91108624
967. Multiscale remote-sensing retrieval in the evapotranspiration of Haloxylon ammodendron in the Gurbantunggut desert, China X. Cao et al. https://doi.org/10.1007/s12665-012-1989-0
968. Estimation of high spatiotemporal resolution actual evapotranspiration by combining the SWH model with the METRIC model J. Zhao et al. https://doi.org/10.1016/j.jhydrol.2020.124883
969. Global assessment of partitioning transpiration from evapotranspiration based on satellite solar-induced chlorophyll fluorescence data Y. Liu et al. https://doi.org/10.1016/j.jhydrol.2022.128044
970. Impact of sensor footprint on measurement of directional brightness temperature of row crop canopies H. Ren et al. https://doi.org/10.1016/j.rse.2013.02.025
971. Differences in estimating terrestrial water flux from three satellite-based Priestley-Taylor algorithms Y. Yao et al. https://doi.org/10.1016/j.jag.2016.10.009
972. Advancements in earth observation for water resources monitoring and management in Africa: A comprehensive review T. Dube et al. https://doi.org/10.1016/j.jhydrol.2023.129738
973. Combing both simulated and field-measured data to develop robust hyperspectral indices for tracing canopy transpiration in drought-tolerant plant J. Jin et al. https://doi.org/10.1007/s10661-018-7140-2
974. Multi-scale partitioning of evapotranspiration using the three-temperature model in an oasis–desert landscape of northwest China C. Yan et al. https://doi.org/10.1016/j.ejrh.2025.102831
975. Regional crop water use assessment using Landsat‐derived evapotranspiration A. Bawa et al. https://doi.org/10.1002/hyp.14015
976. Surface roughness length dynamic over several different surfaces and its effects on modeling fluxes Y. Zhou et al. https://doi.org/10.1007/s11430-006-8262-x
977. Global canopy rainfall interception loss derived from satellite earth observations C. Zheng & L. Jia https://doi.org/10.1002/eco.2186
978. Synthesis of global actual evapotranspiration from 1982 to 2019 A. Elnashar et al. https://doi.org/10.5194/essd-13-447-2021
979. A VI-based phenology adaptation approach for rice crop monitoring using UAV multispectral images Q. Yang et al. https://doi.org/10.1016/j.fcr.2021.108419
980. Assessment of the agricultural water budget in southern Iran using Sentinel-2 to Landsat-8 datasets A. Caiserman et al. https://doi.org/10.1016/j.jaridenv.2021.104461
981. Intercomparison of remote sensing‐based models for estimation of evapotranspiration and accuracy assessment based on SWAT Y. Gao & D. Long https://doi.org/10.1002/hyp.7104
982. The role of vadose zone physics in the ecohydrological response of a Tibetan meadow to freeze–thaw cycles L. Yu et al. https://doi.org/10.5194/tc-14-4653-2020
983. Estimation of aerodynamic roughness of a harvested Douglas-fir forest using airborne LiDAR E. Paul-Limoges et al. https://doi.org/10.1016/j.rse.2013.05.007
984. Multi-scales and multi-satellites estimates of evapotranspiration with a residual energy balance model in the Muzza agricultural district in Northern Italy C. Corbari et al. https://doi.org/10.1016/j.jhydrol.2015.02.041
985. Automated actual evapotranspiration estimation: Hybrid model of a novel attention based U-Net and metaheuristic optimization algorithms A. Bafti et al. https://doi.org/10.1016/j.atmosres.2023.107107
986. Water and Energy Dynamics in a Disturbed Ecosystem S. Alibakhshi et al. https://doi.org/10.1007/s41748-024-00498-7
987. Comparative Assessment of Two Vegetation Fractional Cover Estimating Methods and Their Impacts on Modeling Urban Latent Heat Flux Using Landsat Imagery K. Liu et al. https://doi.org/10.3390/rs9050455
988. Performance of Satellite-Based Evapotranspiration Models in Temperate Pastures of Southern Chile I. Moletto-Lobos et al. https://doi.org/10.3390/w12123587
989. Applications of a remote sensing-based two-source energy balance algorithm for mapping surface fluxes without in situ air temperature observations C. Cammalleri et al. https://doi.org/10.1016/j.rse.2012.06.009
990. Cloud-Based Fusion of Sentinel-1 Radar, MODIS and Soil Moisture Data for Resolution-Refined Evapotranspiration Mapping in Mountain Coffee Systems G. Klinke Neto et al. https://doi.org/10.3390/su18136473
991. Estimating surface fluxes over middle and upper streams of the Heihe River Basin with ASTER imagery W. Ma et al. https://doi.org/10.5194/hess-15-1403-2011
992. An original interpretation of the wet edge of the surface temperature–albedo space to estimate crop evapotranspiration (SEB-1S), and its validation over an irrigated area in northwestern Mexico O. Merlin https://doi.org/10.5194/hess-17-3623-2013
993. Characterizing the Effect of Vegetation Dynamics on the Bulk Heat Transfer Coefficient to Improve Variational Estimation of Surface Turbulent Fluxes A. Abdolghafoorian et al. https://doi.org/10.1175/JHM-D-16-0097.1
994. 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
995. Bridging Thermal Infrared Sensing and Physically‐Based Evapotranspiration Modeling: From Theoretical Implementation to Validation Across an Aridity Gradient in Australian Ecosystems K. Mallick et al. https://doi.org/10.1029/2017WR021357
996. Basin scale rainfall-evapotranspiration dynamics in a tropical semiarid environment during dry and wet years P. Mutti et al. https://doi.org/10.1016/j.jag.2018.10.007
997. Evaluating satellite-based evapotranspiration estimates for hydrological applications in data-scarce regions: A case in Ethiopia Y. Dile et al. https://doi.org/10.1016/j.scitotenv.2020.140702
998. A one – source model to estimate sensible heat flux in agricultural landscapes F. Castellví & M. González Dugo https://doi.org/10.1016/j.agrformet.2021.108628
999. Multimodel ensemble estimation of Landsat-like global terrestrial latent heat flux using a generalized deep CNN-LSTM integration algorithm X. Guo et al. https://doi.org/10.1016/j.agrformet.2024.109962
1000. Estimation of evapotranspiration fluxes from Sal (Shorea robusta Gaertn.f) forest using METRIC model: case study of Doon Valley, India S. Purohit et al. https://doi.org/10.1080/10106049.2021.1920630
1001. Actual evapotranspiration estimation using METRIC model and Landsat satellite images over an irrigated field in the Eastern Mediterranean Region of Turkey O. Alsenjar et al. https://doi.org/10.1007/s42990-023-00099-y
1002. How does film mulching modify available energy, evapotranspiration, and crop coefficient during the seed–maize growing season in northwest China? Y. Zhao et al. https://doi.org/10.1016/j.agwat.2020.106666
1003. Relationship between Evapotranspiration and Land Surface Temperature under Energy- and Water-Limited Conditions in Dry and Cold Climates Z. Sun et al. https://doi.org/10.1155/2016/1835487
1004. Impact of land use change on actual evapotranspiration in the Songnen Plain, China Z. Lu et al. https://doi.org/10.1016/j.ejrh.2024.101854
1005. Estimating Turbulent Fluxes in the Tropical Andes M. Córdova et al. https://doi.org/10.3390/atmos11020213
1006. Mapping Root-Zone Soil Moisture Using a Temperature–Vegetation Triangle Approach with an Unmanned Aerial System: Incorporating Surface Roughness from Structure from Motion S. Wang et al. https://doi.org/10.3390/rs10121978
1007. Estimation of evapotranspiration for ungauged areas using MODIS measurements and GLDAS data J. Du & R. Sun https://doi.org/10.1016/j.proenv.2012.01.165
1008. Daily global transpiration estimation (2001–2018) by integrating satellite solar-induced fluorescence and spatially heterogeneous slope parameter in a conductance-photosynthesis model J. Jin et al. https://doi.org/10.1016/j.agrformet.2025.110993
1009. Optical-based and thermal-based surface conductance and actual evapotranspiration estimation, an evaluation study in the North China Plain X. Hu et al. https://doi.org/10.1016/j.agrformet.2018.09.015
1010. Coordinated estimates of 4-day 500 m global land surface energy balance components J. Wang et al. https://doi.org/10.1016/j.rse.2025.114795
1011. Determining spatio-temporal variations of ecological water consumption by natural oases for sustainable water resources allocation in a hyper-arid endorheic basin G. Gao et al. https://doi.org/10.1016/j.jclepro.2018.03.025
1012. Estimating Actual Evapotranspiration from Satellite and Meteorological Data in Central Bolivia C. Seiler & A. Moene https://doi.org/10.1175/2010EI332.1
1013. Improving Predictions of Water and Heat Fluxes by Assimilating MODIS Land Surface Temperature Products into the Common Land Model T. Xu et al. https://doi.org/10.1175/2010JHM1300.1
1014. Evaluation of evapotranspiration data and gridded products using robust linear estimators in Colombia G. Araujo-Carrillo et al. https://doi.org/10.1007/s00704-025-05406-1
1015. The spatial variability of actual evapotranspiration across the Amazon River Basin based on remote sensing products validated with flux towers V. Paca et al. https://doi.org/10.1186/s13717-019-0158-8
1016. Spatial evapotranspiration, rainfall and land use data in water accounting – Part 1: Review of the accuracy of the remote sensing data P. Karimi & W. Bastiaanssen https://doi.org/10.5194/hess-19-507-2015
1017. Spatio-temporal variability of evapotranspiration and crop water requirement from space A. Samuel et al. https://doi.org/10.1016/j.jhydrol.2018.01.058
1018. Mapping evapotranspiration trends using MODIS and SEBAL model in a data scarce and heterogeneous landscape in Eastern Africa J. Kiptala et al. https://doi.org/10.1002/2013WR014240
1019. Hydrological Parameters Estimation Using Remote Sensing and GIS for Indian Region: A Review P. Thakur et al. https://doi.org/10.1007/s40010-017-0440-z
1020. Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations C. Zheng et al. https://doi.org/10.1016/j.jhydrol.2022.128444
1021. Improving terrestrial evapotranspiration estimation of the Tibetan Plateau by coupling SEBS with machine learning-derived aerodynamic resistance Y. Kan et al. https://doi.org/10.1016/j.jhydrol.2025.133711
1022. Monitoring daily evapotranspiration over two California vineyards using Landsat 8 in a multi-sensor data fusion approach K. Semmens et al. https://doi.org/10.1016/j.rse.2015.10.025
1023. Evaporation mapping at two scales using optical imagery in the White Volta Basin, Upper East Ghana H. Compaoré et al. https://doi.org/10.1016/j.pce.2007.04.021
1024. Estimating spatial variations of total evaporation using multispectral sensors within the uMngeni catchment, South Africa C. Shoko et al. https://doi.org/10.1080/10106049.2015.1047414
1025. Estimating evaporative fraction from readily obtainable variables in mangrove forests of the Everglades, U.S.A. A. Yagci et al. https://doi.org/10.1080/01431161.2017.1312033
1026. Surface energy fluxes with the Advanced Spaceborne Thermal Emission and Reflection radiometer (ASTER) at the Iowa 2002 SMACEX site (USA) A. French et al. https://doi.org/10.1016/j.rse.2005.05.015
1027. Dominant Modes of Tibetan Plateau Summer Surface Sensible Heating and Associated Atmospheric Circulation Anomalies W. Fan et al. https://doi.org/10.3390/rs14040956
1028. Irrigation and Precipitation Hydrological Consistency with SMOS, SMAP, ESA-CCI, Copernicus SSM1km, and AMSR-2 Remotely Sensed Soil Moisture Products N. Paciolla et al. https://doi.org/10.3390/rs12223737
1029. A Robust Framework for Improving Fine-Scale Evapotranspiration Estimation From UAV-Based Multispectral and Thermal Images J. Wei et al. https://doi.org/10.1109/TGRS.2025.3601120
1030. Estimation of hourly land surface heat fluxes over the Tibetan Plateau by the combined use of geostationary and polar-orbiting satellites L. Zhong et al. https://doi.org/10.5194/acp-19-5529-2019
1031. Utility of single-source surface energy balance models in estimation of daily actual evapotranspiration in arid regions N. Kumar & M. Hamouda https://doi.org/10.1080/02626667.2024.2446266
1032. A high-throughput shared service to estimate evapotranspiration using Landsat imagery J. Cunha et al. https://doi.org/10.1016/j.cageo.2019.104341
1033. Using Simplified Thermal Inertia to Determine the Theoretical Dry Line in Feature Space for Evapotranspiration Retrieval S. Mi et al. https://doi.org/10.3390/rs70810856
1034. Improving the Evapotranspiration Estimation under Cloudy Condition by Extending the Ts-VI Triangle Model B. Li et al. https://doi.org/10.3390/rs13081516
1035. Different Vegetation Information Inputs Significantly Affect the Evapotranspiration Simulations of the PT-JPL Model Z. Luo et al. https://doi.org/10.3390/rs14112573
1036. Intercomparison of Surface Energy Fluxes Estimates from the FEST-EWB and TSeB Models over the Heterogeneous REFLEX 2012 Site (Barrax, Spain) C. Corbari et al. https://doi.org/10.2478/s11600-014-0258-x
1037. MODIS Evapotranspiration Downscaling Using a Deep Neural Network Trained Using Landsat 8 Reflectance and Temperature Data X. Che et al. https://doi.org/10.3390/rs14225876
1038. Modelling soil moisture and daily actual evapotranspiration: Integrating remote sensing surface energy balance and 1D Richards equation H. Awada et al. https://doi.org/10.1016/j.jag.2024.103744
1039. A new approach to estimate daily evapotranspiration, based on Landsat data and FAO56 principles S. Veysi et al. https://doi.org/10.1080/01431161.2023.2237662
1040. Separating Vegetation Greening and Climate Change Controls on Evapotranspiration trend over the Loess Plateau Z. Jin et al. https://doi.org/10.1038/s41598-017-08477-x
1041. Medium-Resolution Mapping of Evapotranspiration at the Catchment Scale Based on Thermal Infrared MODIS Data and ERA-Interim Reanalysis over North Africa A. Diarra et al. https://doi.org/10.3390/rs14205071
1042. Crop coefficients and actual evapotranspiration of a drip-irrigated Merlot vineyard using multispectral satellite images M. Carrasco-Benavides et al. https://doi.org/10.1007/s00271-012-0379-4
1043. The use of remote sensing in soil and terrain mapping — A review V. Mulder et al. https://doi.org/10.1016/j.geoderma.2010.12.018
1044. Estimation and mechanism analysis of global evapotranspiration based on a physics-informed deep-learning model J. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.134351
1045. Determination of canopy‐shadow‐affected area in sparse steppes and its effects on evaporation and evapotranspiration Y. Feng et al. https://doi.org/10.1002/eco.1482
1046. Field-Scale Assessment of Land and Water Use Change over the California Delta Using Remote Sensing M. Anderson et al. https://doi.org/10.3390/rs10060889
1047. Reconstructing daily clear-sky land surface temperature for cloudy regions from MODIS data L. Sun et al. https://doi.org/10.1016/j.cageo.2017.04.007
1048. Multiple sources of uncertainties in satellite retrieval of terrestrial actual evapotranspiration M. Cao et al. https://doi.org/10.1016/j.jhydrol.2021.126642
1049. Integrating eco-evolutionary optimality principle and land processes for evapotranspiration estimation M. Zou et al. https://doi.org/10.1016/j.jhydrol.2022.128855
1050. A Simulation Study of Global Evapotranspiration Components Using the Community Land Model M. Yang et al. https://doi.org/10.3390/atmos9050178
1051. Triple collocation-based merging of multi-source gridded evapotranspiration data in the Nordic Region X. Li et al. https://doi.org/10.1016/j.agrformet.2023.109451
1052. The Radiation Energy Distribution over the Tibetan Plateau: A Review and Perspective Y. Ma et al. https://doi.org/10.1007/s00376-025-5065-6
1053. Assessment of surface energy balance algorithm for land and operational simplified surface energy balance algorithm over freshwater and saline water bodies in Urmia Lake Basin M. Rahimpour & M. Rahimzadegan https://doi.org/10.1007/s00704-020-03472-1
1054. Evaluation of three complementary relationship approaches for evapotranspiration over the Yellow River basin S. Liu et al. https://doi.org/10.1002/hyp.6048
1055. The Performance of Satellite-Based Actual Evapotranspiration Products and the Assessment of Irrigation Efficiency in Egypt S. Ayyad et al. https://doi.org/10.3390/w11091913
1056. The role of aerodynamic resistance in thermal remote sensing-based evapotranspiration models I. Trebs et al. https://doi.org/10.1016/j.rse.2021.112602
1057. Spatiotemporal Variabilities in Evapotranspiration of Alfalfa: A Case Study Using Remote Sensing METRIC and SSEBop Models and Eddy Covariance Z. Tawalbeh et al. https://doi.org/10.3390/rs16132290
1058. A New Material-Oriented TES for Land Surface Temperature and SUHI Retrieval in Urban Areas: Case Study over Madrid in the Framework of the Future TRISHNA Mission A. Michel et al. https://doi.org/10.3390/rs13245139
1059. 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. https://doi.org/10.3390/rs16173280
1060. Unveiling spatial and temporal characteristics of cooling effects of rice paddy expansion in Northeast China T. Yang et al. https://doi.org/10.1016/j.agrformet.2025.110967
1061. Crop Drought Identification Index for winter wheat based on evapotranspiration in the Huang-Huai-Hai Plain, China X. Wu et al. https://doi.org/10.1016/j.agee.2018.05.001
1062. NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. https://doi.org/10.1016/j.rse.2021.112349
1063. Progress of evapotranspiration research based on VOSviewer: A review Z. Yang et al. https://doi.org/10.2166/wst.2024.036
1064. Estimating groundwater contribution to transpiration using satellite-derived evapotranspiration estimates coupled with stable isotope analysis S. Gokool et al. https://doi.org/10.1016/j.jaridenv.2018.02.002
1065. Towards Estimating Land Evaporation at Field Scales Using GLEAM B. Martens et al. https://doi.org/10.3390/rs10111720
1066. An estimation of the evapotranspiration of typical steppe areas using Landsat images and the METRIC model J. Wang et al. https://doi.org/10.2166/wcc.2021.432
1067. A remote sensing-based irrigation performance assessment: a case study of the Office du Niger in Mali S. Zwart & L. Leclert https://doi.org/10.1007/s00271-009-0199-3
1068. Analysis and estimation of tallgrass prairie evapotranspiration in the central United States P. Wagle et al. https://doi.org/10.1016/j.agrformet.2016.08.005
1069. A global 30-m ET model (HSEB) using harmonized Landsat and Sentinel-2, MODIS and VIIRS: Comparison to ECOSTRESS ET and LST H. Jaafar et al. https://doi.org/10.1016/j.rse.2022.112995
1070. Improving WISE Crop Evapotranspiration Estimates Using Crop Coefficients Derived from Remote-Sensing Algorithms E. Costa-Filho et al. https://doi.org/10.1061/JIDEDH.IRENG-10104
1071. Assessing Satellite-Derived OpenET Platform Evapotranspiration of Mature Pecan Orchard in the Mesilla Valley, New Mexico Z. Tawalbeh et al. https://doi.org/10.3390/rs16081429
1072. Inferring transpiration from evapotranspiration: A transpiration indicator using the Priestley-Taylor coefficient of wet environment G. Gan & Y. Liu https://doi.org/10.1016/j.ecolind.2019.105853
1073. 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
1074. How sensitive is SEBAL to changes in input variables, domain size and satellite sensor? D. Long et al. https://doi.org/10.1029/2011JD016542
1075. Performance Assessment of MOD16 in Evapotranspiration Evaluation in Northwestern Mexico A. Aguilar et al. https://doi.org/10.3390/w10070901
1076. Estimation of the distribution of the total net radiative flux from satellite and automatic weather station data in the Upper Blue Nile basin, Ethiopia E. Tegegne et al. https://doi.org/10.1007/s00704-020-03397-9
1077. Mapping daily and seasonal evapotranspiration from irrigated crops using global climate grids and satellite imagery: Automation and methods comparison T. Biggs et al. https://doi.org/10.1002/2016WR019107
1078. Can we trust remote sensing evapotranspiration products over Africa? I. Weerasinghe et al. https://doi.org/10.5194/hess-24-1565-2020
1079. A first assessment of airborne HyTES-based land surface temperature and evapotranspiration M. Pascolini-Campbell et al. https://doi.org/10.1016/j.rsase.2024.101344
1080. Effect of pixel scale on evapotranspiration estimation by remote sensing over oasis areas in north-western China H. Tian et al. https://doi.org/10.1007/s12665-012-1677-0
1081. The spatial heterogeneity of land surface conditions and its influence on surface fluxes over a typical underlying surface in the Tibetan Plateau G. Sun et al. https://doi.org/10.1007/s00704-018-2369-9
1082. Evaluation of remotely sensed actual evapotranspiration products from COMS and MODIS at two different flux tower sites in Korea J. Baik & M. Choi https://doi.org/10.1080/01431161.2014.998349
1083. Breaking the zero-flux paradigm: an iterative surface energy balance framework for enhanced cold pixel characterization J. Wei et al. https://doi.org/10.1016/j.jclepro.2025.147011
1084. Spatio-Temporal Characteristics of the Evapotranspiration in the Lower Mekong River Basin during 2008–2017 X. Pan et al. https://doi.org/10.3390/rs14112609
1085. Modelling of the Effects of Canopy Structure on Evapotranspiration in Root Zone of Lycium Barbarum B. Ma & J. He https://doi.org/10.2139/ssrn.4069592
1086. Parameter estimation of coupled water and energy balance models based on stationary constraints of surface states J. Sun et al. https://doi.org/10.1029/2010WR009293
1087. Comparison of ET estimations by the three-temperature model, SEBAL model and eddy covariance observations X. Zhou et al. https://doi.org/10.1016/j.jhydrol.2014.08.004
1088. Observations of Turbulent Heat Fluxes Variability in a Semiarid Coastal Lagoon (Gulf of California) L. Benítez-Valenzuela & Z. Sanchez-Mejia https://doi.org/10.3390/atmos11060626
1089. Remote Sensing-Based Algorithms for Estimating Evapotranspiration in Agricultural Systems: A systematic literature review W. Oliveira et al. https://doi.org/10.1109/MGRS.2024.3469182
1090. Coupling water and carbon processes to estimate field-scale maize evapotranspiration with Sentinel-2 data Z. Ma et al. https://doi.org/10.1016/j.agrformet.2021.108421
1091. Remote sensing: hydrology Q. Tang et al. https://doi.org/10.1177/0309133309346650
1092. A coupled ground heat flux–surface energy balance model of evaporation using thermal remote sensing observations B. Bhattacharya et al. https://doi.org/10.5194/bg-19-5521-2022
1093. A method for sensible heat flux model parameterization based on radiometric surface temperature and environmental factors without involving the parameter KB−1 Q. Zhuang et al. https://doi.org/10.1016/j.jag.2015.11.015
1094. 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 https://doi.org/10.1016/j.jclepro.2016.09.022
1095. Assessing wheat crop water productivity for sustainable agricultural water management in diverse agro-climatic regions of Uttarakhand, India P. Singh & K. Kothari https://doi.org/10.1016/j.indic.2025.100738
1096. Optimization of a remote sensing energy balance method over different canopy applied at global scale X. Chen et al. https://doi.org/10.1016/j.agrformet.2019.107633
1097. Application of A Simple Landsat-MODIS Fusion Model to Estimate Evapotranspiration over A Heterogeneous Sparse Vegetation Region S. Jamshidi et al. https://doi.org/10.3390/rs11070741
1098. Validation of a large scale hydrological model with data fields retrieved from reflective and thermal optical remote sensing data – A case study for the Upper Rhine Valley M. Casper & M. Vohland https://doi.org/10.1016/j.pce.2008.06.001
1099. High-Resolution Crop Evapotranspiration Estimation Using the Automated OPTRAM-ETc Method M. Alavi et al. https://doi.org/10.1007/s41748-025-00852-3
1100. Remote sensing for agricultural applications: A meta-review M. Weiss et al. https://doi.org/10.1016/j.rse.2019.111402
1101. Evapotranspiration Estimates over Non-Homogeneous Mediterranean Land Cover by a Calibrated “Critical Resistance” Approach P. Martano https://doi.org/10.3390/atmos6030255
1102. Ecosystem Evapotranspiration as a Response to Climate and Vegetation Coverage Changes in Northwest Yunnan, China H. Yang et al. https://doi.org/10.1371/journal.pone.0134795
1103. geeSEBAL-MODIS: Continental-scale evapotranspiration based on the surface energy balance for South America B. Comini de Andrade et al. https://doi.org/10.1016/j.isprsjprs.2023.12.001
1104. A One-Source Approach for Estimating Land Surface Heat Fluxes Using Remotely Sensed Land Surface Temperature Y. Yang et al. https://doi.org/10.3390/rs9010043
1105. Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models J. Elfarkh et al. https://doi.org/10.1016/j.agwat.2022.107728
1106. An intercomparison of three remote sensing-based energy balance models using Large Aperture Scintillometer measurements over a wheat–corn production region R. Tang et al. https://doi.org/10.1016/j.rse.2011.07.004
1107. Study on daily surface evapotranspiration with SEBS in Tibet Autonomous Region G. Zhuo et al. https://doi.org/10.1007/s11442-014-1076-4
1108. Implementation and evaluation of a global evapotranspiration index algorithm based on land surface temperature K. TANADA et al. https://doi.org/10.2480/agrmet.D-25-00022
1109. Remote-Sensing Estimation of Evapotranspiration for Multiple Land Cover Types Based on an Improved Canopy Conductance Model J. Wang et al. https://doi.org/10.3390/rs18030513
1110. A framework for automating the configuration of OpenCL R. de Souza Rosa Gomes et al. https://doi.org/10.1016/j.envsoft.2013.11.005
1111. Preliminary evaluation of remote sensing evapotranspiration models for field-scale agricultural water management in arid central Iran S. Sima et al. https://doi.org/10.1016/j.agwat.2025.110084
1112. Improving parameterization of an evapotranspiration estimation model with eddy covariance measurements for a regional irrigation scheduling program A. Talib et al. https://doi.org/10.1016/j.agrformet.2024.109967
1113. Comparative analysis of actual evapotranspiration values estimated by METRIC model using LOCAL data and EEFlux for an irrigated area in Northern Sinaloa, Mexico B. Vázquez-Rodríguez et al. https://doi.org/10.1016/j.heliyon.2024.e34767
1114. Estimation of the Terrestrial Water Budget over Northern Eurasia through the Use of Multiple Data Sources T. Troy et al. https://doi.org/10.1175/2011JCLI3936.1
1115. The Karkheh River basin: the food basket of Iran under pressure M. Ahmad & M. Giordano https://doi.org/10.1080/02508060.2010.510326
1116. The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms D. Michel et al. https://doi.org/10.5194/hess-20-803-2016
1117. Exploiting the modified surface energy balance system (mSEBS) model and monitoring actual land surface evapotranspiration in China L. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133596
1118. Comprehensive Evaluation of the Variable Infiltration Capacity (VIC) Model in the North American Land Data Assimilation System Y. Xia et al. https://doi.org/10.1175/JHM-D-18-0139.1
1119. Estimating the regional evapotranspiration in Zhalong wetland with the Two-Source Energy Balance (TSEB) model and Landsat7/ETM+ images W. Yao et al. https://doi.org/10.1016/j.ecoinf.2010.06.002
1120. Assessment of Spatial Representativeness of Eddy Covariance Flux Data from Flux Tower to Regional Grid H. Wang et al. https://doi.org/10.3390/rs8090742
1121. Challenges and Future Perspectives of Multi-/Hyperspectral Thermal Infrared Remote Sensing for Crop Water-Stress Detection: A Review M. Gerhards et al. https://doi.org/10.3390/rs11101240
1122. Satellite-derived land surface temperature: Current status and perspectives Z. Li et al. https://doi.org/10.1016/j.rse.2012.12.008
1123. An artificial neural network approach to estimate evapotranspiration from remote sensing and AmeriFlux data Z. Chen et al. https://doi.org/10.1007/s11707-012-0346-7
1124. A practical method for reducing terrain effect on land surface temperature using random forest regression W. Zhao et al. https://doi.org/10.1016/j.rse.2018.12.008
1125. Automated evapotranspiration retrieval model with missing soil-related datasets: The proposal of SEBALI M. Mhawej et al. https://doi.org/10.1016/j.agwat.2019.105938
1126. ReSET-Raster: Surface Energy Balance Model for Calculating Evapotranspiration Using a Raster Approach A. Elhaddad & L. Garcia https://doi.org/10.1061/(ASCE)IR.1943-4774.0000282
1127. Modelling soil heat flux C. Núñez et al. https://doi.org/10.1007/s00704-009-0185-y
1128. Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland L. Jia et al. https://doi.org/10.5194/hess-13-1775-2009
1129. Ground heat flux: An analytical review of 6 models evaluated at 88 sites and globally A. Purdy et al. https://doi.org/10.1002/2016JG003591
1130. Coupling a groundwater model with a land surface model to improve water and energy cycle simulation W. Tian et al. https://doi.org/10.5194/hess-16-4707-2012
1131. Conserving Land–Atmosphere Synthesis Suite (CLASS) S. Hobeichi et al. https://doi.org/10.1175/JCLI-D-19-0036.1
1132. Assessment of the performance of the drag and bulk transfer method in estimating sensible and latent heat fluxes in a tropical station M. Adeniyi & O. Ogunsola https://doi.org/10.1007/s00704-011-0496-7
1133. Variational assimilation of land surface temperature and the estimation of surface energy balance components S. Bateni et al. https://doi.org/10.1016/j.jhydrol.2012.12.039
1134. Climate Change Amplifies the Effects of Vegetation Restoration on Evapotranspiration and Water Availability in the Beijing–Tianjin Sand Source Region, Northern China X. Li et al. https://doi.org/10.3390/land14030527
1135. Monitoring surface soil moisture status based on remotely sensed surface temperature and vegetation index information L. Sun et al. https://doi.org/10.1016/j.agrformet.2012.07.015
1136. ECOSTRESS estimates gross primary production with fine spatial resolution for different times of day from the International Space Station X. Li et al. https://doi.org/10.1016/j.rse.2021.112360
1137. Development of a 10-year (2001–2010) 0.1° data set of land-surface energy balance for mainland China X. Chen et al. https://doi.org/10.5194/acp-14-13097-2014
1138. Impact and consequences of evapotranspiration changes on water resources availability in the arid Zhangye Basin, China X. Jin et al. https://doi.org/10.1080/01431160802559053
1139. Comparison of Four Different Energy Balance Models for Estimating Evapotranspiration in the Midwestern United States R. Singh & G. Senay https://doi.org/10.3390/w8010009
1140. Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia A. Zeyliger et al. https://doi.org/10.3390/s23052601
1141. An Automated and Improved Methodology to Retrieve Long-time Series of Evapotranspiration Based on Remote Sensing and Reanalysis Data M. Saboori et al. https://doi.org/10.3390/rs14246253
1142. Review on estimation methods of the Earth’s surface energy balance components from ground and satellite measurements M. Rahman & W. Zhang https://doi.org/10.1007/s12040-019-1098-5
1143. A Remote Sensing Method for Estimating Surface Air Temperature and Surface Vapor Pressure on a Regional Scale R. Zhang et al. https://doi.org/10.3390/rs70506005
1144. The spatio-temporal soil moisture variation along the major tributaries of Zambezi River in the Mbire District, Zimbabwe W. Gumindoga et al. https://doi.org/10.1016/j.ejrh.2020.100753
1145. Impact of model structure and parameterization on Penman–Monteith type evaporation models A. Ershadi et al. https://doi.org/10.1016/j.jhydrol.2015.04.008
1146. Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine B. Franch et al. https://doi.org/10.1016/j.jag.2018.11.012
1147. Mixtures of Gaussians for Uncertainty Description in Bivariate Latent Heat Flux Proxies R. Wójcik et al. https://doi.org/10.1175/JHM491.1
1148. Transport processes and ground temperature affected by solar irradiation through the troposphere layer P. Wei et al. https://doi.org/10.1016/j.rineng.2025.105736
1149. The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data M. McCabe et al. https://doi.org/10.5194/gmd-9-283-2016
1150. Satellite assessment of land surface evapotranspiration for the pan‐Arctic domain Q. Mu et al. https://doi.org/10.1029/2008WR007189
1151. Estimation of evapotranspiration from a suite of geostationary satellites R. Nigam et al. https://doi.org/10.1080/01431161.2021.1910366
1152. Evaluation of evapotranspiration using energy-based and water balance hydrological models R. Fitria et al. https://doi.org/10.2166/wcc.2024.499
1153. Modeling canopy conductance and transpiration from solar-induced chlorophyll fluorescence N. Shan et al. https://doi.org/10.1016/j.agrformet.2019.01.031
1154. Flux Measurements in Cairo. Part 2: On the Determination of the Spatial Radiation and Energy Balance Using ASTER Satellite Data C. Frey & E. Parlow https://doi.org/10.3390/rs4092635
1155. Evaluating Four Remote Sensing Methods for Estimating Surface Air Temperature on a Regional Scale S. Liu et al. https://doi.org/10.1175/JAMC-D-16-0188.1
1156. Applying multiple land surface temperature products to derive heat fluxes over a grassland site C. Jiménez et al. https://doi.org/10.1016/j.rsase.2017.01.002
1157. Water balance change and its implications to vegetation in the Tarim River Basin, Central Asia M. Xu et al. https://doi.org/10.1016/j.quaint.2019.06.011
1158. Remote Sensing of Water: The Observation-to-Inference Arc Across Six Decades and Toward an AI-Native Future D. Ames https://doi.org/10.3390/rs18081127
1159. 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
1160. Modelling landscape dynamics with Python D. Karssenberg et al. https://doi.org/10.1080/13658810601063936
1161. Remote sensing contributions to evapotranspiration modeling and assessment: models and methods S. Merzoug et al. https://doi.org/10.1007/s42990-026-00233-6
1162. Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images A. Rahimikhoob https://doi.org/10.1007/s11269-016-1331-9
1163. Improving remote sensing based evapotranspiration modelling in a heterogeneous urban environment M. Faridatul et al. https://doi.org/10.1016/j.jhydrol.2019.124405
1164. A geo-informatics approach for estimating water resources management components and their interrelationships U. Liaqat et al. https://doi.org/10.1016/j.agwat.2016.09.010
1165. An observation-driven optimization method for continuous estimation of evaporative fraction over large heterogeneous areas W. Zhu et al. https://doi.org/10.1016/j.rse.2020.111887
1166. A novel index for ecological drought monitoring based on ecological water deficit T. Jiang et al. https://doi.org/10.1016/j.ecolind.2021.107804
1167. Urban green space classification and water consumption analysis with remote-sensing technology: a case study in Beijing, China S. Di et al. https://doi.org/10.1080/01431161.2018.1479798
1168. A physical method for downscaling land surface temperatures using surface energy balance theory Y. Hu et al. https://doi.org/10.1016/j.rse.2022.113421
1169. Evapotranspiration Estimates at High Spatial and Temporal Resolutions from an Energy–Water Balance Model and Satellite Data in the Capitanata Irrigation Consortium C. Corbari et al. https://doi.org/10.3390/rs12244083
1170. Comparison of three remote sensing based models to estimate evapotranspiration in an oasis-desert region J. Lian & M. Huang https://doi.org/10.1016/j.agwat.2015.12.001
1171. Estimation of surface energy fluxes under complex terrain of Mt. Qomolangma over the Tibetan Plateau X. Chen et al. https://doi.org/10.5194/hess-17-1607-2013
1172. Estimating Land Surface Evaporation: A Review of Methods Using Remotely Sensed Surface Temperature Data J. Kalma et al. https://doi.org/10.1007/s10712-008-9037-z
1173. Analytical framework based on thermodynamics to estimate spatially distributed surface energy fluxes from remotely sensed radiations M. Gupta et al. https://doi.org/10.1016/j.rse.2023.113659
1174. Global water cycle and remote sensing big data: overview, challenge, and opportunities Y. Cui et al. https://doi.org/10.1080/20964471.2018.1548052
1175. Spatiotemporal Variation of Evapotranspiration on Different Land Use/Cover in the Inner Mongolia Reach of the Yellow River Basin X. Zhang et al. https://doi.org/10.3390/rs14184499
1176. Validation of the SEBS-derived sensible heat for FY3A/VIRR and TERRA/MODIS over an alpine grass region using LAS measurements Y. Wang et al. https://doi.org/10.1016/j.jag.2012.09.005
1177. Modifying an Image Fusion Approach for High Spatiotemporal LST Retrieval in Surface Dryness and Evapotranspiration Estimations T. Januar et al. https://doi.org/10.3390/rs12030498
1178. Evapotranspiration estimation using a satellite-based surface energy balance: a case study of Upper Bari Doab, Pakistan M. Zahid et al. https://doi.org/10.1007/s12665-023-11284-5
1179. Critical soil moisture thresholds for evapotranspiration in rainfed semi-arid maize in Kenya M. Räsänen et al. https://doi.org/10.1016/j.agrformet.2026.111219
1180. Estimation of air temperature and reference evapotranspiration using MODIS land surface temperature over Greece G. Kitsara et al. https://doi.org/10.1080/01431161.2017.1395965
1181. 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
1182. Proximal Remote Sensing-Based Vegetation Indices for Monitoring Mango Tree Stem Sap Flux Density J. Jin et al. https://doi.org/10.3390/rs14061483
1183. Upscaling of Latent Heat Flux in Heihe River Basin Based on Transfer Learning Model J. Lin et al. https://doi.org/10.3390/rs15071901
1184. Physics-guided temporal fusion for long-term daily urban land surface temperature: Accuracy, uncertainty, and interpretability in Geneva, Switzerland S. Hamze-Ziabari & M. Lehning https://doi.org/10.1016/j.uclim.2026.102987
1185. A comparative assessment of the accuracies of split-window algorithms for retrieving of land surface temperature using Landsat 8 data F. Arabi Aliabad et al. https://doi.org/10.1007/s40808-020-01007-1
1186. A comparative spectral assessment approach of SEBAL and SEBS for actual evaporation estimation in Ardabil Province K. Valizadeh Kamran et al. https://doi.org/10.26833/ijeg.1344679
1187. Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China Y. Yang et al. https://doi.org/10.1016/j.agrformet.2012.05.011
1188. Multi-scale EO-based agricultural drought monitoring indicator for operative irrigation networks management in Italy C. Corbari et al. https://doi.org/10.1016/j.ejrh.2024.101732
1189. Evaluation of SEBAL and METRIC algorithms to estimate evaporation over fresh and saline water bodies (case study: Urmia Lake, Dez reservoir, and Karkhe reservoir) R. Ghahreman & M. Rahimzadegan https://doi.org/10.61186/jgit.11.4.1
1190. Utility of Assimilating Surface Radiometric Temperature Observations for Evaporative Fraction and Heat Transfer Coefficient Retrieval W. Crow & W. Kustas https://doi.org/10.1007/s10546-004-2121-0
1191. Development of soil moisture profiles through coupled microwave–thermal infrared observations in the southeastern United States V. Mishra et al. https://doi.org/10.5194/hess-22-4935-2018
1192. Monitoring water stress using time series of observed to unstressed surface temperature difference G. Boulet et al. https://doi.org/10.1016/j.agrformet.2007.05.012
1193. A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes Y. Yao et al. https://doi.org/10.1016/j.rse.2015.05.013
1194. Comparing actual evapotranspiration estimations by METRIC to in-situ water balance measurements over an irrigated field in Turkey M. Cetin et al. https://doi.org/10.1080/02626667.2023.2198649
1195. Scale influences on the remote estimation of evapotranspiration using multiple satellite sensors M. McCabe & E. Wood https://doi.org/10.1016/j.rse.2006.07.006
1196. Influence of the biochar application on the thermal properties of soddy-podzolic soil and on the energy balance fluxes of spring wheat in the Leningrad region under various soil moisture conditions A. Dobrokhotov & L. Kozyreva https://doi.org/10.19047/0136-1694-2023-116-43-75
1197. Evaluation and comparison of multiple evapotranspiration data models over the contiguous United States: Implications for the next phase of NLDAS (NLDAS-Testbed) development B. Zhang et al. https://doi.org/10.1016/j.agrformet.2019.107810
1198. Spatio-temporal pattern of ecological droughts and their impacts on health of vegetation in Northwestern China T. Jiang et al. https://doi.org/10.1016/j.jenvman.2021.114356
1199. Comparison of the Remote Sensing Based-Energy Balance Models for Estimating Evaporation from Salin Lakes M. Khorsand Movaghar & S. Sima https://doi.org/10.29252/jgit.7.2.155
1200. Mass and energy flux estimates at different spatial resolutions in a heterogeneous area through a distributed energy–water balance model and remote-sensing data C. Corbari et al. https://doi.org/10.1080/01431161.2012.716924
1201. Spatiotemporal Variability in Water-Use Efficiency in Tianshan Mountains (Xinjiang, China) and the Influencing Factors J. Chen & L. Cao https://doi.org/10.3390/su14138191
1202. Water use efficiency and its drivers of two typical cash crops in an arid area of Northwest China H. Yu et al. https://doi.org/10.1016/j.agwat.2023.108433
1203. Regional estimation and validation of remotely sensed evapotranspiration in China C. Zhan et al. https://doi.org/10.1016/j.catena.2015.04.018
1204. Automated Geospatial Models of Varying Complexities for Pine Forest Evapotranspiration Estimation with Advanced Data Mining S. Panda et al. https://doi.org/10.3390/w10111687
1205. Using ERS spaceborne microwave soil moisture observations to predict groundwater head in space and time E. Sutanudjaja et al. https://doi.org/10.1016/j.rse.2013.07.022
1206. Surface temperature adjustment in METRIC model for monitoring crop water consumption in North China Plain H. Li et al. https://doi.org/10.1016/j.agwat.2023.108654
1207. A Two-Step Reconstruction Framework for Mapping Seamless All-Weather Daily Evapotranspiration Using Thermal Infrared Data G. Zhao et al. https://doi.org/10.1109/JSTARS.2024.3492033
1208. Shallow groundwater effect on land surface temperature and surface energy balance under bare soil conditions: modeling and description F. Alkhaier et al. https://doi.org/10.5194/hess-16-1817-2012
1209. Optimizing Latent Heat Flux Calculation via Composited Thermal Infrared Temperatures Y. Jiang et al. https://doi.org/10.1109/TGRS.2025.3618869
1210. Influence of Chicken Manure Amendment on the Thermal Properties of Selected Benchmark Soils in Zambia M. Chishala et al. https://doi.org/10.4236/ojss.2019.92002
1211. Regional evapotranspiration from an image-based implementation of the Surface Temperature Initiated Closure (STIC1.2) model and its validation across an aridity gradient in the conterminous US N. Bhattarai et al. https://doi.org/10.5194/hess-22-2311-2018
1212. Coupling Xinanjiang model and SWAT to simulate agricultural non-point source pollution in Songtao watershed of Hainan, China S. Yang et al. https://doi.org/10.1016/j.ecolmodel.2011.09.004
1213. Thermally derived evapotranspiration from the Surface Temperature Initiated Closure (STIC) model improves cropland GPP estimates under dry conditions Y. Bai et al. https://doi.org/10.1016/j.rse.2022.112901
1214. Significant Decrease of Uncertainties in Sensible Heat Flux Simulation Using Temporally Variable Aerodynamic Roughness in Two Typical Forest Ecosystems of China Y. Zhou et al. https://doi.org/10.1175/JAMC-D-11-0243.1
1215. Performance of five surface energy balance models for estimating daily evapotranspiration in high biomass sorghum P. Wagle et al. https://doi.org/10.1016/j.isprsjprs.2017.03.022
1216. Estimation of Regional Evapotranspiration by TM/ETM+ Data over Heterogeneous Surfaces S. Liu et al. https://doi.org/10.14358/PERS.73.10.1169
1217. Projection of net irrigation requirement over India using a bias-corrected spatially downscaled dataset G. Nengzouzam et al. https://doi.org/10.2166/wcc.2023.406
1218. SMAP soil moisture improves global evapotranspiration A. Purdy et al. https://doi.org/10.1016/j.rse.2018.09.023
1219. Reconnoitering the effect of shallow groundwater on land surface temperature and surface energy balance using MODIS and SEBS F. Alkhaier et al. https://doi.org/10.5194/hess-16-1833-2012
1220. Time continuous two-source energy-water balance modelling of heterogeneous crops: FEST-2-EWB N. Paciolla et al. https://doi.org/10.1016/j.jhydrol.2023.129265
1221. Long-term monthly 0.05° terrestrial evapotranspiration dataset (1982–2018) for the Tibetan Plateau L. Yuan et al. https://doi.org/10.5194/essd-16-775-2024
1222. A review of remote sensing based actual evapotranspiration estimation K. Zhang et al. https://doi.org/10.1002/wat2.1168
1223. 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
1224. Evaluation and verification of two evapotranspiration models based on precision screening and partitioning of field temperature data C. Xiao et al. https://doi.org/10.1016/j.agwat.2023.108166
1225. Evapotranspiration over a camelina crop at Maricopa, Arizona A. French et al. https://doi.org/10.1016/j.indcrop.2008.06.001
1226. Spatio-temporal patterns of energy exchange and evapotranspiration during an intense drought for drylands in Brazil C. dos Santos et al. https://doi.org/10.1016/j.jag.2019.101982
1227. Survival of the Qaidam mega-lake system under mid-Pliocene climates and its restoration under future climates D. Scherer https://doi.org/10.5194/hess-24-3835-2020
1228. Rationale and Efficacy of Assimilating Remotely Sensed Potential Evapotranspiration for Reduced Uncertainty of Hydrologic Models A. Rajib et al. https://doi.org/10.1029/2017WR021147
1229. STEEP: A remotely-sensed energy balance model for evapotranspiration estimation in seasonally dry tropical forests U. Bezerra et al. https://doi.org/10.1016/j.agrformet.2023.109408
1230. Evaluation of Actual Evapotranspiration from Rice Fields of Odisha Using Remote Sensing Based Surface Energy Balance Approach K. Behura et al. https://doi.org/10.1007/s12524-025-02345-2
1231. Global intercomparison of 12 land surface heat flux estimates C. Jiménez et al. https://doi.org/10.1029/2010JD014545
1232. Using a Groundwater Adjusted Water Balance Approach and Copulas to Evaluate Spatial Patterns and Dependence Structures in Remote Sensing Derived Evapotranspiration Products M. Soltani et al. https://doi.org/10.3390/rs13050853
1233. Satellite-Based Water Consumption Dynamics Monitoring in an Extremely Arid Area S. Tan et al. https://doi.org/10.3390/rs10091399
1234. Effects of floating macrophytes on open-water evaporation in a Brazilian tropical reservoir I. Rodrigues et al. https://doi.org/10.1016/j.jsames.2025.105683
1235. Application of a Remote Sensing Method for Estimating Monthly Blue Water Evapotranspiration in Irrigated Agriculture M. Romaguera et al. https://doi.org/10.3390/rs61010033
1236. Spatial-temporal patterns of land surface evapotranspiration from global products R. Tang et al. https://doi.org/10.1016/j.rse.2024.114066
1237. 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
1238. Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. https://doi.org/10.1016/j.srs.2024.100152
1239. Evolution of evapotranspiration models using thermal and shortwave remote sensing data J. Chen & J. Liu https://doi.org/10.1016/j.rse.2019.111594
1240. Quantifying the contribution of biophysical and environmental factors in uncertainty of modeling canopy conductance J. Xu et al. https://doi.org/10.1016/j.jhydrol.2020.125612
1241. Spatiotemporal variation of heat fluxes in Beijing with land use change from 1997 to 2017 M. Guo et al. https://doi.org/10.1016/j.pce.2018.11.001
1242. Effects of thermal and hydrophysical properties of sandy Haplic Podzol on actual evapotranspiration of spring wheat E. Balashov et al. https://doi.org/10.2478/johh-2023-0013
1243. A new parameterisation scheme of ground heat flux for land surface flux retrieval from remote sensing information M. Tanguy et al. https://doi.org/10.1016/j.jhydrol.2012.06.002
1244. Evaluating the role of remote sensing-based energy balance models in improving site-specific irrigation management for young walnut orchards J. Xue et al. https://doi.org/10.1016/j.agwat.2021.107132
1245. Estimating Subpixel Surface Heat Fluxes through Applying Temperature-Sharpening Methods to MODIS Data X. Li et al. https://doi.org/10.3390/rs9080836
1246. Use of remote sensing and long-term in-situ time-series data in an integrated hydrological model of the Central Kalahari Basin, Southern Africa M. Lekula & M. Lubczynski https://doi.org/10.1007/s10040-019-01954-9
1247. A Novel NIR–Red Spectral Domain Evapotranspiration Model From the Chinese GF-1 Satellite: Application to the Huailai Agricultural Region of China Y. Yao et al. https://doi.org/10.1109/TGRS.2020.3020125
1248. On the surface energy balance closure at different temporal scales A. Grachev et al. https://doi.org/10.1016/j.agrformet.2019.107823
1249. Developing a soil water index-based Priestley–Taylor algorithm for estimating evapotranspiration over East Asia and Australia Y. Hao et al. https://doi.org/10.1016/j.agrformet.2019.107760
1250. Deep learning and regression modelling of cloudless downward longwave radiation N. Obot et al. https://doi.org/10.1186/s43088-019-0018-8
1251. A satellite-based energy balance algorithm with reference dry and wet limits J. Feng & Z. Wang https://doi.org/10.1080/01431161.2012.748990
1252. Combining Landsat optical/thermal and LiDAR High Definition data to estimate turbulent fluxes over Mediterranean forests V. Penot & O. Merlin https://doi.org/10.1016/j.srs.2025.100323
1253. Evapotranspiration over a processing cassava field: a comparative analysis of micrometeorological methods and remote sensing N. da Silva et al. https://doi.org/10.1007/s00704-024-05008-3
1254. Regional Daily ET Estimates Based on the Gap-Filling Method of Surface Conductance J. Xu et al. https://doi.org/10.3390/rs10040554
1255. Viewpoint: Irrigation water management in a space age M. Hafeez & U. Awan https://doi.org/10.1002/ird.2705
1256. Evaluation of WaPOR V2 evapotranspiration products across Africa M. Blatchford et al. https://doi.org/10.1002/hyp.13791
1257. Remotely Sensed and Empirical Reference Evapotranspiration Models to Derive Crop Coefficients for Pistachios in the Central Basin of Iran F. Firoozi et al. https://doi.org/10.1007/s40996-023-01169-9
1258. Impacts of climate variability and landscape pattern change on evapotranspiration in a grassland landscape mosaic D. Yu et al. https://doi.org/10.1002/hyp.13642
1259. Using Very High Resolution Thermal Infrared Imagery for More Accurate Determination of the Impact of Land Cover Differences on Evapotranspiration in an Irrigated Agricultural Area J. Cheng & W. Kustas https://doi.org/10.3390/rs11060613
1260. Modeling Evapotranspiration during SMACEX: Comparing Two Approaches for Local- and Regional-Scale Prediction H. Su et al. https://doi.org/10.1175/JHM466.1
1261. Extension of the Generalized Split-Window Algorithm for Land Surface Temperature Retrieval to Atmospheres With Heavy Dust Aerosol Loading X. Fan et al. https://doi.org/10.1109/JSTARS.2014.2358584
1262. Global estimates of 500 m daily aerodynamic roughness length from MODIS data Z. Peng et al. https://doi.org/10.1016/j.isprsjprs.2021.11.015
1263. Tracing water and energy fluxes and reflectance in an arid ecosystem using the integrated model SCOPE J. Jin et al. https://doi.org/10.1016/j.jenvman.2018.10.090
1264. Critical comparison of actual evapotranspiration estimates using ground based, remotely sensed, and simulated data in the USA S. Kibria et al. https://doi.org/10.1016/j.agwat.2021.106753
1265. Estimating Regional Evapotranspiration Using a Satellite-Based Wind Speed Avoiding Priestley–Taylor Approach J. Sun et al. https://doi.org/10.3390/w13213144
1266. Estimation of Evapotranspiration Using a Nonparametric Approach Under All Sky: Accuracy Evaluation and Error Analysis X. Pan et al. https://doi.org/10.1109/JSTARS.2017.2707586
1267. Quantifying spatio-temporal variations of evapotranspiration over a heterogeneous terrain in the Arid regions of Northwestern China. D. Jiao et al. https://doi.org/10.1080/01431161.2020.1868604
1268. Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems? A. Hoek van Dijke et al. https://doi.org/10.5194/hess-23-2077-2019
1269. A framework for estimating actual evapotranspiration through spatial heterogeneity-based machine learning approaches Y. Zhang et al. https://doi.org/10.1016/j.agwat.2023.108499
1270. Two Improvements of an Operational Two-Layer Model for Terrestrial Surface Heat Flux Retrieval R. Zhang et al. https://doi.org/10.3390/s8106165
1271. From Global Goals to Local Gains—A Framework for Crop Water Productivity M. Blatchford et al. https://doi.org/10.3390/ijgi7110414
1272. A trade-off method between environment restoration and human water consumption: A case study in Ebinur Lake H. Zeng et al. https://doi.org/10.1016/j.jclepro.2018.12.284
1273. A conjugate application of MODIS/Terra data and empirical method to assess reference evapotranspiration for the southwest region of Bangladesh I. Newton et al. https://doi.org/10.1007/s12665-021-09482-0
1274. High-resolution land surface fluxes from satellite and reanalysis data (HOLAPS v1.0): evaluation and uncertainty assessment A. Loew et al. https://doi.org/10.5194/gmd-9-2499-2016
1275. A Dual-Source Energy Balance Model Coupled with Jarvis Canopy Resistance for Estimating Surface Evapotranspiration in Arid and Semi-Arid Regions Q. Zhang et al. https://doi.org/10.3390/agriculture14122362
1276. Evaluating one- and two-source energy balance models in estimating surface evapotranspiration from Landsat-derived surface temperature and field measurements R. Tang et al. https://doi.org/10.1080/01431161.2012.716529
1277. Multisource Estimation of Long-Term Terrestrial Water Budget for Major Global River Basins M. Pan et al. https://doi.org/10.1175/JCLI-D-11-00300.1
1278. Evaluating parameterizations of aerodynamic resistance to heat transfer using field measurements S. Liu et al. https://doi.org/10.5194/hess-11-769-2007
1279. Spatio-temporal dynamics of evapotranspiration on the Tibetan Plateau from 2000 to 2010 L. Song et al. https://doi.org/10.1088/1748-9326/aa527d
1280. Parameterization of Urban Sensible Heat Flux from Remotely Sensed Surface Temperature: Effects of Surface Structure J. Yang et al. https://doi.org/10.3390/rs11111347
1281. A novel TIR-derived three-source energy balance model for estimating daily latent heat flux in mainland China using an all-weather land surface temperature product J. Yang et al. https://doi.org/10.1016/j.agrformet.2022.109066
1282. Land-surface processes and summer-cloud-precipitation characteristics in the Tibetan Plateau and their effects on downstream weather: a review and perspective Y. Fu et al. https://doi.org/10.1093/nsr/nwz226
1283. Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data L. Ji et al. https://doi.org/10.1016/j.agwat.2021.107106
1284. A Comparative Analysis of Different Algorithms for Estimating Evapotranspiration with Limited Observation Variables: A Case Study in Beijing, China D. Sun et al. https://doi.org/10.3390/rs17040636
1285. Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data A. Zeyliger & O. Ermolaeva https://doi.org/10.3390/agronomy11061117
1286. Modification of harmonic analysis model for diurnal surface soil heat flux estimate from multiple remote sensing data H. Hu & N. Li https://doi.org/10.1117/1.JRS.12.036009
1287. Assessment of an evapotranspiration algorithm accounting for land cover types and photosynthetic perspectives using remote sensing images C. Sur et al. https://doi.org/10.1080/15481603.2023.2279802
1288. A hybrid dual‐source scheme and trapezoid framework–based evapotranspiration model (HTEM) using satellite images: Algorithm and model test Y. Yang & S. Shang https://doi.org/10.1002/jgrd.50259
1289. Trends of land surface heat fluxes on the Tibetan Plateau from 2001 to 2012 C. Han et al. https://doi.org/10.1002/joc.5119
1290. 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
1291. Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019 H. Chen et al. https://doi.org/10.1016/j.ejrh.2024.102160
1292. 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
1293. Satellite time series data reveal interannual and seasonal spatiotemporal evapotranspiration patterns in China in response to effect factors M. Cheng et al. https://doi.org/10.1016/j.agwat.2021.107046
1294. The regulation and management of water resources in groundwater over-extraction area based on ET F. Li et al. https://doi.org/10.1007/s00704-021-03713-x
1295. Extensive review of evapotranspiration estimation methodologies over a semi-arid region V. Gargi & S. Manickam https://doi.org/10.3389/frsen.2026.1770598
1296. Representation of seasonal land use dynamics in SWAT+ for improved assessment of blue and green water consumption A. Msigwa et al. https://doi.org/10.5194/hess-26-4447-2022
1297. Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model H. Yan et al. https://doi.org/10.1016/j.rse.2012.06.004
1298. Assessment of soil water deficit for the middle reaches of Yarlung-Zangbo River from optical and passive microwave images L. Zhong et al. https://doi.org/10.1016/j.rse.2013.11.008
1299. Estimation of Growing Season Daily ET in the Middle Stream and Downstream Areas of the Heihe River Basin Using HJ-1 Data . Zhansheng Li et al. https://doi.org/10.1109/LGRS.2014.2368694
1300. A Revised Temporal Scaling Method to Yield Better ET Estimates at a Regional Scale Y. Song et al. https://doi.org/10.3390/rs70506433
1301. Estimating hourly crop ET using a two-source energy balance model and multispectral airborne imagery J. Chávez et al. https://doi.org/10.1007/s00271-009-0177-9
1302. Mapping Evapotranspiration Patterns in the Desert-Oasis Ecotone Using UAV-Based Thermal Infrared Imagery with a Three-Temperature Model S. Li et al. https://doi.org/10.3390/rs18132242
1303. Evaluating the Impact of Assimilating Soil Moisture Variability Data on Latent Heat Flux Estimation in a Land Surface Model N. Alavi et al. https://doi.org/10.4296/cwrj3502157
1304. Estimating Crop Evapotranspiration in Data-Scare Regions: A Comparative Analysis of Eddy Covariance, Empirical and Remote-Sensing Approaches N. Cutting et al. https://doi.org/10.1007/s41101-024-00299-z
1305. Comparison of Remote Sensing based Multi-Source ET Models over Cropland in a Semi-Humid Region of China Q. Zhuang et al. https://doi.org/10.3390/atmos11040325
1306. Parameterizing ecosystem light use efficiency and water use efficiency to estimate maize gross primary production and evapotranspiration using MODIS EVI P. Wagle et al. https://doi.org/10.1016/j.agrformet.2016.03.009
1307. Physical connection of sensible and ground heat flux M. Sadeghi et al. https://doi.org/10.1016/j.jhydrol.2021.126687
1308. Evaluation of remote sensing-based evapotranspiration products at low-latitude eddy covariance sites D. Salazar-Martínez et al. https://doi.org/10.1016/j.jhydrol.2022.127786
1309. Potential of satellite and reanalysis evaporation datasets for hydrological modelling under various model calibration strategies M. Dembélé et al. https://doi.org/10.1016/j.advwatres.2020.103667
1310. Substitution of satellite-based land surface temperature defective data using GSP method M. Mokhtari et al. https://doi.org/10.1016/j.asr.2021.01.058
1311. Water and Energy Balance Model GOES-PRWEB: Development and Validation E. Harmsen et al. https://doi.org/10.3390/hydrology8030113
1312. Scale-aware triple collocation: optimizing spatiotemporal windows for enhanced multi-source fusion of meteorological data Z. Peng et al. https://doi.org/10.1016/j.jhydrol.2026.135662
1313. A Bayesian analysis of sensible heat flux estimation: Quantifying uncertainty in meteorological forcing to improve model prediction A. Ershadi et al. https://doi.org/10.1002/wrcr.20231
1314. Estimation of actual evapotranspiration and water stress in the Lijiang River Basin, China using a modified Operational Simplified Surface Energy Balance (SSEBop) model Y. Yao & A. Mallik https://doi.org/10.1016/j.jher.2022.01.003
1315. Estimation of Regional Evapotranspiration Based on the Decouple Model and Remote Sensing Information ——a Case Study in Beijing City and Nearby Region S. Di et al. https://doi.org/10.1080/01431161.2024.2316674
1316. Estimation of Seasonal Evapotranspiration for Crops in Arid Regions Using Multisource Remote Sensing Images M. Cha et al. https://doi.org/10.3390/rs12152398
1317. Evaluation and Aggregation Properties of Thermal Infra-Red-Based Evapotranspiration Algorithms from 100 m to the km Scale over a Semi-Arid Irrigated Agricultural Area M. Bahir et al. https://doi.org/10.3390/rs9111178
1318. Long-term variations in actual evapotranspiration over the Tibetan Plateau C. Han et al. https://doi.org/10.5194/essd-13-3513-2021
1319. Evapotranspiration estimation using high-resolution aerial imagery and pySEBAL for processing tomatoes S. Peddinti et al. https://doi.org/10.1007/s00271-024-00943-5
1320. Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate N. Bhattarai et al. https://doi.org/10.1016/j.jag.2016.01.010
1321. Enhancing Evapotranspiration Estimations through Multi-Source Product Fusion in the Yellow River Basin, China R. Wang et al. https://doi.org/10.3390/w16182603
1322. Evapotranspiration Variability and Its Association with Vegetation Dynamics in the Nile Basin, 2002–2011 H. Alemu et al. https://doi.org/10.3390/rs6075885
1323. Estimating Daily Actual Evapotranspiration at a Landsat-Like Scale Utilizing Simulated and Remote Sensing Surface Temperature D. Wang et al. https://doi.org/10.3390/rs13020225
1324. How does irrigation alter the water, carbon, and nitrogen budgets in a large endorheic river basin? S. Yang et al. https://doi.org/10.1016/j.jhydrol.2022.128317
1325. Estimation of Evapotranspiration from NDVI for Irrigated Agriculture in Arid Regions M. Tasumi https://doi.org/10.7132/jrcsa.17.1_17
1326. Changes in evapotranspiration and phenology as consequences of shrub removal in dry forests of central Argentina V. Marchesini et al. https://doi.org/10.1002/eco.1583
1327. Mapping Surface Heat Fluxes by Assimilating SMAP Soil Moisture and GOES Land Surface Temperature Data Y. Lu et al. https://doi.org/10.1002/2017WR021415
1328. Estimation of the Regional Evaporative Fraction over the Tibetan Plateau Area by Using Landsat-7 ETM Data and the Field Observations Y. MA et al. https://doi.org/10.2151/jmsj.85A.295
1329. Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources M. Anderson et al. https://doi.org/10.1016/j.rse.2011.08.025
1330. High spatial resolution thermal infrared data from airborne acquisition reveal inconsistencies in evapotranspiration and crop water stress retrieval from different models C. Corbari et al. https://doi.org/10.1016/j.rsase.2025.101563
1331. Total evaporation estimation for accurate water accounting purposes: an appraisal of various available estimation methods C. Shoko et al. https://doi.org/10.1080/10106049.2016.1208682
1332. Spatial sensitivity of surface energy balance algorithms to meteorological data in a heterogeneous environment E. Webster et al. https://doi.org/10.1016/j.rse.2016.10.019
1333. The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets D. Miralles et al. https://doi.org/10.5194/hess-20-823-2016
1334. Comparison of ET models over different land cover L. Sun et al. https://doi.org/10.1088/1755-1315/17/1/012128
1335. The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data Y. Lee & S. Kim https://doi.org/10.3390/rs8120983
1336. Analysis of urban water dissipation characteristics considering anthropogenic impacts: a case study in Beijing C. Liu et al. https://doi.org/10.2166/wcc.2023.195
1337. An intercomparison of the Surface Energy Balance Algorithm for Land (SEBAL) and the Two-Source Energy Balance (TSEB) modeling schemes W. Timmermans et al. https://doi.org/10.1016/j.rse.2006.11.028
1338. Modifying SEBAL Model Based on the Trapezoidal Relationship between Land Surface Temperature and Vegetation Index for Actual Evapotranspiration Estimation X. Wang et al. https://doi.org/10.3390/rs6075909
1339. Satellite retrieval of actual evapotranspiration in the Tibetan Plateau: Components partitioning, multidecadal trends and dominated factors identifying W. Wang et al. https://doi.org/10.1016/j.jhydrol.2018.02.065
1340. 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
1341. Detecting the Response of Irrigation Water Management to Climate by Remote Sensing Monitoring of Evapotranspiration F. El Ghandour et al. https://doi.org/10.3390/w11102045
1342. Integrating two layers of soil moisture parameters into the MOD16 algorithm to improve evapotranspiration estimations S. Di et al. https://doi.org/10.1080/01431161.2015.1040136
1343. Evaluation of uncalibrated energy balance model (BAITSSS) for estimating evapotranspiration in a semiarid, advective climate R. Dhungel et al. https://doi.org/10.1002/hyp.13458
1344. Local-scale monitoring of evapotranspiration based on downscaled GRACE observations and remotely sensed data: An application of terrestrial water balance approach B. Khorrami et al. https://doi.org/10.1007/s12145-023-00964-2
1345. Estimation of Evapotranspiration from the People’s Victory Irrigation District Based on the Data Mining Sharpener Model J. Zhang et al. https://doi.org/10.3390/agronomy13123082
1346. Integration of soil moisture as an auxiliary parameter for the anchor pixel selection process in SEBAL using Landsat 8 and Sentinel - 1A images M. Prakash Mohan et al. https://doi.org/10.1080/01431161.2019.1658239
1347. Assessing the impact of end‐member selection on the accuracy of satellite‐based spatial variability models for actual evapotranspiration estimation D. Long & V. Singh https://doi.org/10.1002/wrcr.20208
1348. Utilizing the Google Earth Engine for an Efficient Spatial–Temporal Fusion Model of Grassland Evapotranspiration (OL-SS) H. Yu et al. https://doi.org/10.3390/w17071034
1349. Investigating the potential for cool roofs to mitigate urban heat in the Kansas City metropolitan area K. Reed & F. Sun https://doi.org/10.1007/s00382-022-06296-z
1350. Evaluation of Landsat-Based METRIC Modeling to Provide High-Spatial Resolution Evapotranspiration Estimates for Amazonian Forests I. Numata et al. https://doi.org/10.3390/rs9010046
1351. Spatiotemporal patterns of water consumption and irrigation requirements of wheat-maize in the Huang-Huai-Hai Plain, China and options of their reduction P. Ren et al. https://doi.org/10.1016/j.agwat.2022.107468
1352. Calibration of aerodynamic roughness over the Tibetan Plateau with Ensemble Kalman Filter analysed heat flux J. Lee et al. https://doi.org/10.5194/hess-16-4291-2012
1353. A Bayesian approach to estimate sensible and latent heat over vegetated land surface C. van der Tol et al. https://doi.org/10.5194/hess-13-749-2009
1354. Multi-Scale Evaluation of the TSEB Model over a Complex Agricultural Landscape in Morocco J. Elfarkh et al. https://doi.org/10.3390/rs12071181
1355. Impact of land use and land cover transitions and climate on evapotranspiration in the Lake Naivasha Basin, Kenya V. Odongo et al. https://doi.org/10.1016/j.scitotenv.2019.04.062
1356. Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil L. Laipelt et al. https://doi.org/10.3390/rs12071108
1357. Numerical simulations of the atmospheric and land conditions over the Jinta oasis in northwestern China with satellite‐derived land surface parameters X. Meng et al. https://doi.org/10.1029/2008JD010360
1358. Evapotranspiration Estimation Assessment Using Various Satellite-Based Surface Energy Balance Models in Arid Climates A. Elkatoury et al. https://doi.org/10.1007/s41748-024-00501-1
1359. Evaluation of dynamic linkages between evapotranspiration and land-use/land-cover changes with Landsat TM and ETM+ data Z. Gao et al. https://doi.org/10.1080/01431161.2011.636766
1360. Evaluation of SEBS Algorithm for Estimation of Daily Evapotranspiration Using Landsat-8 Dataset in a Semi-Arid Region of Central Iran M. Mohammadian et al. https://doi.org/10.4236/ojg.2017.73023
1361. Use of MODIS Images to Quantify the Radiation and Energy Balances in the Brazilian Pantanal A. Teixeira et al. https://doi.org/10.3390/rs71114597
1362. Evaluating water-saving efficiency of plastic mulching in Northwest China using remote sensing and SEBAL Y. Yang et al. https://doi.org/10.1016/j.agwat.2018.07.011
1363. Wind Speed-Independent Two-Source Energy Balance Model Based on a Theoretical Trapezoidal Relationship between Land Surface Temperature and Fractional Vegetation Cover for Evapotranspiration Estimation X. Wang et al. https://doi.org/10.1155/2020/6364531
1364. Investigating the changes in agricultural land use and actual evapotranspiration of the Urmia Lake basin based on FAO’s WaPOR database R. Barideh & F. Nasimi https://doi.org/10.1016/j.agwat.2022.107509
1365. Integrating thermal stress indexes within Shuttleworth–Wallace model for evapotranspiration mapping over a complex surface J. Elfarkh et al. https://doi.org/10.1007/s00271-020-00701-3
1366. Integrating sentinel-2 and sentinel-3 for actual evapotranspiration estimation across diverse climate zones using the sen-ET plugin and machine learning models S. Amani et al. https://doi.org/10.1007/s12145-025-01786-0
1367. Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem V. Burchard-Levine et al. https://doi.org/10.3390/rs12060904
1368. Estimation of land surface heat fluxes based on visible infrared imaging radiometer suite data: case study in northern China X. Li & X. Xin https://doi.org/10.1117/1.JRS.11.046012
1369. Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions? D. Melo et al. https://doi.org/10.1029/2020WR028752
1370. Assessment of Water Availability and Consumption in the Karkheh River Basin, Iran—Using Remote Sensing and Geo-statistics L. Muthuwatta et al. https://doi.org/10.1007/s11269-009-9455-9
1371. Multimodel Analysis of Energy and Water Fluxes: Intercomparisons between Operational Analyses, a Land Surface Model, and Remote Sensing R. Vinukollu et al. https://doi.org/10.1175/2011JHM1372.1
1372. A Weak-Constraint-Based Data Assimilation Scheme for Estimating Surface Turbulent Fluxes J. Qin et al. https://doi.org/10.1109/LGRS.2007.904004
1373. Multi‐model and multi‐sensor estimations of evapotranspiration over the Volta Basin, West Africa S. Andam‐Akorful et al. https://doi.org/10.1002/joc.4198
1374. Monitoring Evapotranspiration in an Agricultural Field and Determination of Irrigation Rates and Dates by Automated Mobile Field Agrometeorological Complex A. Efimov et al. https://doi.org/10.1134/S0097807818010086
1375. Crop Evapotranspiration Dynamics in Morocco’s Climate-Vulnerable Saiss Plain A. Oumou et al. https://doi.org/10.3390/rs17142412
1376. Uncertainties in long-term ensemble estimates of contextual evapotranspiration over southern France S. Mwangi et al. https://doi.org/10.5194/hess-30-1117-2026
1377. Temporal and Spatial Differences and Driving Factors of Evapotranspiration from Terrestrial Ecosystems of the Qinghai Province in the Past 20 Years Z. Song et al. https://doi.org/10.3390/w14040536
1378. Retrieving of Land Surface Temperature Using Thermal Remote Sensing and GIS Techniques in Kandaihimmat Watershed, Hoshangabad, Madhya Pradesh M. Malik & J. Shukla https://doi.org/10.1007/s12594-018-1010-y
1379. Water stress assessment in rainfed crops and pastures by using remotely sensed evapotranspiration M. Moqbeli et al. https://doi.org/10.1007/s10661-025-13984-w
1380. Ensemble Machine Learning Outperforms Empirical Equations for the Ground Heat Flux Estimation with Remote Sensing Data J. Bonsoms & G. Boulet https://doi.org/10.3390/rs14081788
1381. Regional Actual Evapotranspiration Estimation with Land and Meteorological Variables Derived from Multi-Source Satellite Data B. Wu et al. https://doi.org/10.3390/rs12020332
1382. An integrated hydrological and meteorological approach for the simulation of terrestrial evapotranspiration / Une approche hydrologique et météorologique intégrée pour la simulation de l'évapotranspiration terrestre C. ZHAN et al. https://doi.org/10.1623/hysj.53.6.1151
1383. Integration of microwave satellite soil moisture products in the contextual surface temperature-vegetation index models for spatially continuous evapotranspiration estimation W. Zhu et al. https://doi.org/10.1016/j.isprsjprs.2023.08.004
1384. Spatiotemporal Characteristics of Actual Evapotranspiration Changes and Their Climatic Causes in China Q. Dai et al. https://doi.org/10.3390/rs16010008
1385. The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources J. Fisher et al. https://doi.org/10.1002/2016WR020175
1386. A machine learning residual correction framework for enhancing physical-based evapotranspiration estimates over croplands A. Dobrokhotov et al. https://doi.org/10.1080/22797254.2026.2695909
1387. Evaluation of Standardized MODIS-Terra Satellite-Derived Evapotranspiration Using Genetic Algorithm for Better Field Applicability in a Tropical River Basin U. Kumar et al. https://doi.org/10.1007/s12524-023-01675-3
1388. Surface Energy Fluxes Estimation Over the South Asia Subcontinent Through Assimilating MODIS/TERRA Satellite Data With In Situ Observations and GLDAS Product by SEBS Model W. Zhao et al. https://doi.org/10.1109/JSTARS.2014.2325966
1389. Exploring Long-Term Anomalies in the Vegetation Cover of Peri-Urban Parks Using the Fisher-Shannon Method L. Telesca et al. https://doi.org/10.3390/e24121784
1390. Evaluation of MOD16 Algorithm over Irrigated Rice Paddy Using Flux Tower Measurements in Southern Brazil V. Souza et al. https://doi.org/10.3390/w11091911
1391. Use of commercial microwave links as scintillometers: potential and limitations towards evaporation estimation L. van der Valk et al. https://doi.org/10.5194/amt-18-6143-2025
1392. Calibration and Validation of a Distributed Energy–Water Balance Model Using Satellite Data of Land Surface Temperature and Ground Discharge Measurements C. Corbari & M. Mancini https://doi.org/10.1175/JHM-D-12-0173.1
1393. Estimation of Evaporation and Drought Stress of Pistachio Plant Using UAV Multispectral Images and a Surface Energy Balance Approach H. Khormizi et al. https://doi.org/10.3390/horticulturae10050515
1394. Suitability of Earth Engine Evaporation Flux (EEFlux) Estimation of Evapotranspiration in Rainfed Crops S. Kadam et al. https://doi.org/10.3390/rs13193884
1395. A new method based on remote sensing observations and data assimilation for estimation of evapotranspiration over field crops J. Qin et al. https://doi.org/10.1080/00288230709510378
1396. Evaporation in Brazilian dryland reservoirs: Spatial variability and impact of riparian vegetation I. Rodrigues et al. https://doi.org/10.1016/j.scitotenv.2021.149059
1397. Evapotranspiration Estimation in the Sahel Using a New Ensemble-Contextual Method A. Allies et al. https://doi.org/10.3390/rs12030380
1398. Satellite characterization of terrestrial drought over Xinjiang Uygur Autonomous Region of China over past three decades Y. Zhang et al. https://doi.org/10.1007/s12665-016-5315-0
1399. Observation and Assessment of Model Retrievals of Surface Exchange Components Over a Row Canopy Using Directional Thermal Data S. Mwangi et al. https://doi.org/10.1109/JSTARS.2023.3297709
1400. Application of the Sebs Water Balance Model in Estimating Daily Evapotranspiration and Evaporative Fraction from Remote Sensing Data Over the Nile Delta M. Elhag et al. https://doi.org/10.1007/s11269-011-9835-9
1401. Assessing geeSEBAL automated calibration and meteorological reanalysis uncertainties to estimate evapotranspiration in subtropical humid climates R. Kayser et al. https://doi.org/10.1016/j.agrformet.2021.108775