100 citations as recorded by crossref.

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3. Evaluating the ability of satellite remote sensing to detect changes in actual evapotranspiration under contrasting field management practices in the Czech Republic T. Ghisi et al. https://doi.org/10.1016/j.agwat.2025.109940
4. Estimating Biomass and Yield Using METRIC Evapotranspiration and Simple Growth Algorithms A. Khan et al. https://doi.org/10.2134/agronj2018.04.0248
5. Annual water deficit in response to climate variabilities across the globe D. Yin et al. https://doi.org/10.1088/1748-9326/ac5d9b
6. 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
7. Agronomic Information Extraction from UAV-Based Thermal Photogrammetry Using MATLAB F. Paciolla et al. https://doi.org/10.3390/rs17152746
8. Evapotranspiration Estimation in the Sahel Using a New Ensemble-Contextual Method A. Allies et al. https://doi.org/10.3390/rs12030380
9. On the Utility of High-Resolution Soil Moisture Data for Better Constraining Thermal-Based Energy Balance over Three Semi-Arid Agricultural Areas B. Ait Hssaine et al. https://doi.org/10.3390/rs13040727
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17. 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
18. An End-Member-Based Two-Source Approach for Estimating Land Surface Evapotranspiration From Remote Sensing Data R. Tang & Z. Li https://doi.org/10.1109/TGRS.2017.2715361
19. 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
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21. 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
22. Hydrological Functioning of Maize Crops in Southwest France Using Eddy Covariance Measurements and a Land Surface Model O. Dare-Idowu et al. https://doi.org/10.3390/w13111481
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27. Estimation of Irrigation Water Pumping by Remote Sensing: Application of the SAMIR Model to Citrus under Mediterranean Climate Conditions I. Tazekrit et al. https://doi.org/10.1590/0102-7786333016
28. Evaluation and Drivers of Four Evapotranspiration Products in the Yellow River Basin L. Jin et al. https://doi.org/10.3390/rs16111829
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30. Analysis of Multispectral Drought Indices in Central Tunisia N. Farhani et al. https://doi.org/10.3390/rs14081813
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33. Vegetation Water Use Based on a Thermal and Optical Remote Sensing Model in the Mediterranean Region of Doñana M. Moyano et al. https://doi.org/10.3390/rs10071105
34. Estimation of total available water in the soil layer by integrating actual evapotranspiration data in a remote sensing-driven soil water balance I. Campos et al. https://doi.org/10.1016/j.jhydrol.2016.01.023
35. Schätzung der Verdunstung mithilfe von Machine- und Deep Learning-Methoden C. Brenner et al. https://doi.org/10.1007/s00506-021-00768-y
36. Simulation and Optimisation Using a Digital Twin for Resilience-Based Management of Confined Aquifers C. Cohen-Manrique et al. https://doi.org/10.3390/w17131973
37. 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
38. Quantifying water stress in vineyards using a smartphone L. Paleari et al. https://doi.org/10.1016/j.biosystemseng.2024.01.004
39. 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
40. 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
41. Tracking crop evapotranspiration and water stress across seasons using multi-sensor UAV observations J. Bates et al. https://doi.org/10.5194/bg-23-7253-2026
42. A Comprehensive Evaluation of Five Evapotranspiration Datasets Based on Ground and GRACE Satellite Observations: Implications for Improvement of Evapotranspiration Retrieval Algorithm L. Chao et al. https://doi.org/10.3390/rs13122414
43. Evapotranspiration Retrieval Under Different Aridity Conditions Over North American Grasslands Q. Liao et al. https://doi.org/10.1109/TGRS.2020.2980453
44. Ability of a soil–vegetation–atmosphere transfer model and a two-source energy balance model to predict evapotranspiration for several crops and climate conditions G. Bigeard et al. https://doi.org/10.5194/hess-23-5033-2019
45. A sensitivity analysis of a FAO-56 dual crop coefficient-based model under various field conditions P. Laluet et al. https://doi.org/10.1016/j.envsoft.2022.105608
46. 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
47. 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
48. 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
49. IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture L. García et al. https://doi.org/10.3390/s20041042
50. Monitoring Irrigation Consumption Using High Resolution NDVI Image Time Series: Calibration and Validation in the Kairouan Plain (Tunisia) S. Saadi et al. https://doi.org/10.3390/rs71013005
51. 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
52. 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
53. 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
54. 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
55. Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning K. Loggenberg et al. https://doi.org/10.3390/rs10020202
56. 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
57. Remote sensing of evapotranspiration over cotton using the TSEB and METRIC energy balance models A. French et al. https://doi.org/10.1016/j.rse.2014.11.003
58. Impact of Sowing Date on Yield and Water Use Efficiency of Wheat Analyzed through Spatial Modeling and FORMOSAT-2 Images B. Duchemin et al. https://doi.org/10.3390/rs70505951
59. 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
60. Estimation of Evapotranspiration Based on a Modified Penman–Monteith–Leuning Model Using Surface and Root Zone Soil Moisture H. Duan et al. https://doi.org/10.3390/w15071418
61. A Sensitivity Analysis of a Fao-56 Dual Crop Coefficient-Based Model Under Various Field Conditions P. Laluet et al. https://doi.org/10.2139/ssrn.4170062
62. Remote sensing for agricultural applications: A meta-review M. Weiss et al. https://doi.org/10.1016/j.rse.2019.111402
63. 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
64. Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards A. Nassar et al. https://doi.org/10.3390/rs12030342
65. Feasibility of using an energy balance to measure evapotranspiration in green stormwater infrastructure D. Krasowski et al. https://doi.org/10.1371/journal.pone.0246286
66. Estimating Evapotranspiration Using Coupled Remote Sensing and Three SEB Models in an Arid Region A. Elkatoury et al. https://doi.org/10.1007/s40710-019-00410-w
67. Attribution analysis based on Budyko hypothesis for land evapotranspiration change in the Loess Plateau, China G. He et al. https://doi.org/10.1007/s40333-019-0107-5
68. 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
69. Estimation of turbulent fluxes over almond orchards using high-resolution aerial imagery with one and two-source energy balance models S. Peddinti & I. Kisekka https://doi.org/10.1016/j.agwat.2022.107671
70. Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers T. Ghisi et al. https://doi.org/10.1016/j.ejrh.2024.101785
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