Global CMIP6-based datasets of vegetation-responsive and feedback-deflated potential evapotranspiration. [PDF]
Kim D, Lee S, Choi M.
europepmc +1 more source
Physiology-Driven Irrigation Scheduling in <i>Ananas comosus</i> via Hybrid Machine Learning: UAV-Based Phenotyping of Water-Related Traits Coupled with FAO-56 Soil Water Balance. [PDF]
Chaparro JE, Aedo JE, Lombana NB.
europepmc +1 more source
Development and Validation of an IoF-Based Sensing Architecture for Microclimate Monitoring: Quantifying Spatial ET<sub>0</sub> Bias in Mediterranean Viticulture. [PDF]
Oral O, Cakir M, Caglayan N, Celik HK.
europepmc +1 more source
Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation. [PDF]
Fisher JB +6 more
europepmc +1 more source
Spatiotemporal assessment of maize evapotranspiration and surface energy fluxes under varying irrigation regimes using UAV based METRIC. [PDF]
Ankela CB +5 more
europepmc +1 more source
Investigation of 50 temperature-based models for estimating potential evapotranspiration (PET) in a semi-arid region. [PDF]
Ramachandran J +6 more
europepmc +1 more source
Large Variations in the Transpiration of Sorghum Canopies Under High Evaporative Demand Are Positively Related to Water Use Efficiency. [PDF]
Pilloni R +12 more
europepmc +1 more source
Performance evaluation of machine learning algorithms for estimating reference evapotranspiration based on NASA POWER weather data: a case study in Nigeria. [PDF]
Faloye OT +7 more
europepmc +1 more source
The lagged and cumulative effects of permafrost and seasonally frozen soil on water use efficiency in the Qilian Mountains, Northwest China. [PDF]
Li L +8 more
europepmc +1 more source
Assessment of future meteorological droughts in Iran. [PDF]
Ghazi B +3 more
europepmc +1 more source

