14 citations as recorded by crossref.

1. Estimating land evapotranspiration from potential evapotranspiration constrained by soil water at daily scale Z. Liu 10.1016/j.scitotenv.2022.155327
2. 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. 10.3390/rs16173280
3. Evaluation of remotely sensed global evapotranspiration data from inland river basins Z. Liu 10.1002/hyp.14774
4. Accuracy of five ground heat flux empirical simulation methods in the surface-energy-balance-based remote-sensing evapotranspiration models Z. Liu 10.5194/hess-26-6207-2022
5. Modeling Evapotranspiration at Larger Temporal Scales: Effects of Temporal Aggregation and Data Gaps K. Athira et al. 10.3390/rs14174142
6. Up-scaling the latent heat flux from instantaneous to daily-scale: A comparison of three methods M. Cheng et al. 10.1016/j.ejrh.2022.101057
7. Uncertainty assessment of satellite remote-sensing-based evapotranspiration estimates: a systematic review of methods and gaps B. Tran et al. 10.5194/hess-27-4505-2023
8. Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time J. Lee & J. Im 10.1080/15481603.2024.2319372
9. Daily Evapotranspiration Estimations by Direct Calculation and Temporal Upscaling Based on Field and MODIS Data Y. Jiang et al. 10.3390/rs14164094
10. Evaluations of Remote Sensing-Based Global Evapotranspiration Datasets at Catchment Scale in Mountain Regions Y. Jiang & Z. Liu 10.3390/rs13245096
11. Spatiotemporal trends and evapotranspiration estimation using an improvised SEBAL convergence method for the semi-arid region of Western Rajasthan, India D. Saxena et al. 10.2166/aqua.2024.220
12. Physical mechanism-based simulation methods for soil and ground heat flux from observations at multi-sites Z. Liu et al. 10.1016/j.jhydrol.2024.132168
13. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al. 10.1080/01431161.2023.2240523
14. How useful are the lake surface temperature estimates from a geostationary satellite (Himawari-8) to detect seasonal and diurnal changes? M. Sugita & T. Inagaki 10.1080/02626667.2023.2199162