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Estimation Of Field Alfalfa Evapotranspiration In A Windy, Arid Environment, J. Burdette Barker
Estimation Of Field Alfalfa Evapotranspiration In A Windy, Arid Environment, J. Burdette Barker
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Evapotranspiration (ET) of center pivot irrigated alfalfa was studied in the windy, arid, Curlew Valley, Northern Box Elder County, Utah, during the summers of 2009 and 2010. ET was estimated using eddy covariance (EC) and surface renewal (SR) techniques. ET estimates from the EC and SR analyses were compared with estimates using ASCE Standardized Reference ET Equation, with both dual and mean crop coefficients.
EC energy balance closure was 0.80, on average, in 2009 and 0.76 in 2010. The SR weighting parameter (α) was calculated through linear regression of EC and SR sensible heat flux estimates. Alpha was found to …
Remotely Sensed Data Assimilation Technique To Develop Machine Learning Models For Use In Water Management, Bushra Zaman
Remotely Sensed Data Assimilation Technique To Develop Machine Learning Models For Use In Water Management, Bushra Zaman
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Increasing population and water conflicts are making water management one of the most important issues of the present world. It has become absolutely necessary to find ways to manage water more efficiently. Technological advancement has introduced various techniques for data acquisition and analysis, and these tools can be used to address some of the critical issues that challenge water resource management.
This research used learning machine techniques and information acquired through remote sensing, to solve problems related to soil moisture estimation and crop identification on large spatial scales. In this dissertation, solutions were proposed in three problem areas that can …