99 citations as recorded by crossref.

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47. 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
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49. 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
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51. 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
52. 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
53. 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
54. Modelling Water Stress in a Shiraz Vineyard Using Hyperspectral Imaging and Machine Learning K. Loggenberg et al. https://doi.org/10.3390/rs10020202
55. 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
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63. 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
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66. 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
67. 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
68. 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
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