Results 111 to 120 of about 2,761 (197)

Application of time-lagged satellite image-based crop coefficients for estimating actual evapotranspiration through FAO-56 method. [PDF]

Sci Rep
Moazenzadeh R.
europepmc   +1 more source

Latent heat of vaporisation & penman-monteith

, 2016
openaire   +1 more source

Assessing water requirements and suitability for apple growth at county scale in China: a phenological modeling approach during key growth stages. [PDF]

Front Plant Sci
Ru X, He T, Yan G, He Y, Zhu Z, Yu Q, He J.   +6 more
europepmc   +1 more source

Monitoring plant moisture content and optimizing irrigation prescriptions based on UAV multimodal data. [PDF]

Front Plant Sci
Fu W, Hou X, Wang D, Chen Z, Cheng Q, Li Y, Duan F.   +6 more
europepmc   +1 more source

High-resolution spatially interpolated FAO Penman-Monteith crop reference evapotranspiration maps of Sicily Island (Italy) and Jucar River system (Spain) using AgERA5 and ERA5-Land reanalysis datasets.

J Hydrol Reg Stud
Garcia-Prats A, Carricondo-Antón JM, Ippolito M, De Caro D, Jiménez-Bello MA, Manzano-Juárez J, Pulido-Velazquez M.   +6 more
europepmc   +1 more source

Evaluating machine learning models for estimating evapotranspiration in Colombia's Cauca River Valley. [PDF]

Sci Rep
Rueda Cadavid JF, Cañón Castillo DM, Mendoza Castiblanco CJ, Rodríguez Vásquez AF, Cortés Bello CA.   +4 more
europepmc   +1 more source

The qualitative and quantitative relationship between the spatiotemporal variations of potential evapotranspiration and meteorological variables in the Hexi corridor, Northwest China. [PDF]

Sci Rep
Ma Y, Niu Z, Wang X, Sun D.
europepmc   +1 more source

Latitudinal divergence in runoff responses to global forestation due to forest-atmosphere feedbacks. [PDF]

Nat Commun
Kan F, Lian X, Xu H, Tang S, Cui J, Huntingford C, Sun M, Li X, Piao S.   +8 more
europepmc   +1 more source

Warming accelerates global drought severity. [PDF]

Nature
Gebrechorkos SH, Sheffield J, Vicente-Serrano SM, Funk C, Miralles DG, Peng J, Dyer E, Talib J, Beck HE, Singer MB, Dadson SJ.   +10 more
europepmc   +1 more source

Physically-constrained evapotranspiration models with machine learning parameterization outperform pure machine learning: Critical role of domain knowledge. [PDF]

PLoS One
Kim Y, Garcia M, Andrew Black T, Johnson MS.   +3 more
europepmc   +1 more source