57 citations as recorded by crossref.

1. 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
2. Modelling High-Resolution Actual Evapotranspiration through Sentinel-2 and Sentinel-3 Data Fusion R. Guzinski et al. https://doi.org/10.3390/rs12091433
3. 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
4. Assessment of High-Resolution LST Derived From the Synergy of Sentinel-2 and Sentinel-3 in Agricultural Areas J. Sánchez et al. https://doi.org/10.1109/JSTARS.2023.3335896
5. 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
6. 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
7. Modeling Surface Energy Fluxes over a Dehesa (Oak Savanna) Ecosystem Using a Thermal Based Two-Source Energy Balance Model (TSEB) I A. Andreu et al. https://doi.org/10.3390/rs10040567
8. Leaf Angle Distribution Effects on Modelling Accuracy of Sensible and Latent Heat Fluxes in Sunflower and Wheat Crops K. Pintér & Z. Nagy https://doi.org/10.3390/rs18111732
9. Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas A. de Tomás et al. https://doi.org/10.1016/j.rse.2014.06.028
10. 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
11. Evaluating the Two-Source Energy Balance Model Using MODIS Data for Estimating Evapotranspiration Time Series on a Regional Scale M. Bozorgi et al. https://doi.org/10.3390/rs16234587
12. 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
13. Evaluation of TSEB turbulent fluxes using different methods for the retrieval of soil and canopy component temperatures from UAV thermal and multispectral imagery H. Nieto et al. https://doi.org/10.1007/s00271-018-0585-9
14. 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
15. Assessing Evapotranspiration Models for Regional Implementation in the Mediterranean: A Comparative Analysis of STEPS, TSEB, and SCOPE with Global Datasets Z. Unnisa et al. https://doi.org/10.3390/app14177685
16. Estimation of surface energy fluxes in the Arctic tundra using the remote sensing thermal-based Two-Source Energy Balance model J. Cristóbal et al. https://doi.org/10.5194/hess-21-1339-2017
17. Modelling actual evapotranspiration using a two source energy balance model with Sentinel imagery in herbaceous-free and herbaceous-cover Mediterranean olive orchards S. Aguirre-García et al. https://doi.org/10.1016/j.agrformet.2021.108692
18. 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
19. Modelling the diurnal cycle of evapotranspiration using remote sensing models – are we there yet? K. Athira et al. https://doi.org/10.1080/01431161.2025.2576598
20. 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
21. Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales M. Anderson et al. https://doi.org/10.1016/j.rse.2020.112189
22. Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem J. Sánchez et al. https://doi.org/10.3390/rs12091453
23. 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
24. 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
25. 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
26. Evaluation the Performance of Three Types of Two-Source Evapotranspiration Models in Urban Woodland Areas H. Chen et al. https://doi.org/10.3390/su15129826
27. A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing evapotranspiration from plant to global scales M. Anderson et al. https://doi.org/10.1016/j.agrformet.2024.109951
28. 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
29. Evapotranspiration Estimation with Small UAVs in Precision Agriculture H. Niu et al. https://doi.org/10.3390/s20226427
30. 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
31. Estimating evaporation with thermal UAV data and two-source energy balance models H. Hoffmann et al. https://doi.org/10.5194/hess-20-697-2016
32. Evaluating the feasibility of using Sentinel-2 and Sentinel-3 satellites for high-resolution evapotranspiration estimations R. Guzinski & H. Nieto https://doi.org/10.1016/j.rse.2018.11.019
33. 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
34. 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
35. Surface Energy Flux Estimation in Two Boreal Settings in Alaska Using a Thermal-Based Remote Sensing Model J. Cristóbal et al. https://doi.org/10.3390/rs12244108
36. 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
37. Spatio-temporal variation of land surface temperature and temperature lapse rate over mountainous Kashmir Himalaya S. Romshoo et al. https://doi.org/10.1007/s11629-017-4566-x
38. Sensitivity of thermal evapotranspiration models to surface and atmospheric drivers across ecosystems and aridity A. Jia et al. https://doi.org/10.1016/j.agrformet.2025.110930
39. Remotely sensed land-surface energy fluxes at sub-field scale in heterogeneous agricultural landscape and coniferous plantation R. Guzinski et al. https://doi.org/10.5194/bg-11-5021-2014
40. Estimating Evapotranspiration From Satellite Using Easily Obtainable Variables: A Case Study Over the Southern Great Plains, USA A. Yagci & J. Santanello https://doi.org/10.1109/JSTARS.2017.2753723
41. Predicting evapotranspiration from drone-based thermography – a method comparison in a tropical oil palm plantation F. Ellsäßer et al. https://doi.org/10.5194/bg-18-861-2021
42. Evaluating the performance of the TSEB model for sorghum evapotranspiration estimation using time series UAV imagery E. Tunca https://doi.org/10.1007/s00271-023-00887-2
43. Crop evapotranspiration calculation using infrared thermometers aboard center pivots P. Colaizzi et al. https://doi.org/10.1016/j.agwat.2017.03.016
44. Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach G. Mendiguren et al. https://doi.org/10.5194/hess-21-5987-2017
45. The utility and applicability of vegetation index-based models for the spatial disaggregation of evapotranspiration S. Munusamy et al. https://doi.org/10.1007/s00271-024-00963-1
46. Estimating Evapotranspiration from an Improved Two-Source Energy Balance Model Using ASTER Satellite Imagery Q. Zhuang & B. Wu https://doi.org/10.3390/w7126653
47. Estimating daily seamless 20-m resolution evapotranspiration using data fusion and TSEB P. Zhu et al. https://doi.org/10.1016/j.agwat.2026.110210
48. Two-source energy balance modeling of evapotranspiration in Alpine grasslands M. Castelli et al. https://doi.org/10.1016/j.rse.2018.02.062
49. 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
50. 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
51. 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
52. Daytime sensible heat flux estimation over heterogeneous surfaces using multitemporal land‐surface temperature observations F. Castellví et al. https://doi.org/10.1002/2015WR017587
53. A decadal (2008–2017) daily evapotranspiration data set of 1 km spatial resolution and spatial completeness across the North China Plain using TSEB and data fusion C. Zhang et al. https://doi.org/10.1016/j.rse.2021.112519
54. Contrasting temperature trends across the ice-free part of Greenland A. Westergaard-Nielsen et al. https://doi.org/10.1038/s41598-018-19992-w
55. Application of the two-source energy balance model with microwave-derived soil moisture in a semi-arid agricultural region Y. Xu et al. https://doi.org/10.1016/j.jag.2022.102879
56. Revisiting the paper “Using radiometric surface temperature for surface energy flux estimation in Mediterranean drylands from a two-source perspective” W. Kustas et al. https://doi.org/10.1016/j.rse.2016.07.024
57. Evaluating the impact of different UAV thermal sensors on evapotranspiration estimation E. Tunca & E. Köksal https://doi.org/10.1016/j.infrared.2023.105093