Abstract: The capability of artificial neural networks to act as universal function approximators has been traditionally used to model problems in which the relation between dependent and independent variables is poorly understood. ...

Abstract: Surface energy balance models developed for mapping evapotranspiration at high resolution use weather station data. Previous models such as SEBAL or METRIC use wind and reference evapotranspiration from a single weather ...

Abstract: Reliable estimates of evapotranspiration (ET) from vegetation are needed for many types of water-resource investigations. How well models can estimate ET from vegetation varies, depending on the capabilities of the model ...

Abstract: Water accounting for agricultural areas is crucial for irrigation water management. Actual crop evapotranspiration (ET) is needed as an important input for agricultural water accounting, yet obtaining accurate measurements ...

Abstract: Despite the conceptual simplicity of Monte Carlo-simulation methods in assessing uncertainty in hydrogeological systems, their use is limited by expensive computational requirements in terms of the large number of realizations ...

Abstract: Current methods of computing regional crop evapotranspiration (ET), the prime variable in estimating irrigation demand, largely ignore the spatial and temporal variability of ET parameters, thus introducing errors. In this ...

Abstract: The Colorado State University Irrigation and Drainage (CSUID) model is a simulation model, which can be used in the design and management of conjunctive irrigation and drainage systems. It is based on the numerical ...

Abstract: The objectives of this study are: (1) to evaluate the LANDSAT best band combinations to estimate soil salinity with different crop types; (2) to compare ordinary kriging, regression kriging, and cokriging techniques to ...

Abstract: This paper presents a practical method to manage soil salinity and yield in order to obtain maximum economic benefits. The method was applied to a study area located in the southeastern part of the Arkansas River Basin in ...

Abstract: Disjunctive kriging (DK) is a nonlinear geostatistical model that provides unbiased estimates of the conditional probability (CP) that the true value of the property of interest does not exceed a defined threshold. It has ...