Remote sensing can assist in improving the estimation of the geographical distribution of evapotranspiration, and consequently water demand in large cultivated areas for irrigation purposes and sustainable water resources management. In the direction of these objectives, the daily actual evapotranspiration was calculated in this study during the summer season of 2001 over the Thessaly plain in ...

Due to frequent drought events, increased water demand for agricultural production and limited, accurate estimation of reference evapotranspiration (ETo) is necessary developing crop irrigation schemes rational allocation regional resources. The extreme learning machine (ELM) was optimized using four biological heuristic algorithms, namely, Grey Wolf Optimizer (GWO-ELM), Moth-Flame Optimization...

abstract the present study is attempted to present the minimum required meteorological parameters for reference evapotranspiration estimation at hamedan region of iran from 1997 to 1998. employing pierson test, six meteorological parameters which are used by penman-montieth fao-56 method including maximum and minimum air temperature, maximum and minimum relative humidity, wind speed and daily s...

The need for accurate estimates of reference crop evapotranspiration (ETo) is important in irrigation planning and design, scheduling, reservoir management among other applications. ETo can be accurately determined using the internationally accepted FAO Penman–Monteith (FAO-56 PM) equation. However, this requires numerous observed data, including solar radiation, air temperature, relative humid...

Abstract One of the significant components hydrological cycle is evapotranspiration. Monthly meteorological parameters 35 years from 19 stations across Northern Region Nigeria (NRN) were obtained and utilized for calibration Hargreaves–Samani (HS) model by comparing between potential evapotranspiration (ET o ) values estimated original HS Penman–Monteith (FAO-56 PM) models. The calibrated equat...

Evapotranspiration (ET) is a significant aspect of the hydrologic cycle, notably in irrigated agriculture. Direct approaches for estimating reference evapotranspiration (ET0) are either difficult or need large number inputs that not always available from meteorological stations. Over 6-year period (2006–2011), this study compares Feed Forward Neural Network (FFNN), Radial Basis Function (RBFNN)...