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Full-Text Articles in Physical Sciences and Mathematics
Random Forests Applied As A Soil Spatial Predictive Model In Arid Utah, Alexander Knell Stum
Random Forests Applied As A Soil Spatial Predictive Model In Arid Utah, Alexander Knell Stum
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Initial soil surveys are incomplete for large tracts of public land in the western USA. Digital soil mapping offers a quantitative approach as an alternative to traditional soil mapping. I sought to predict soil classes across an arid to semiarid watershed of western Utah by applying random forests (RF) and using environmental covariates derived from Landsat 7 Enhanced Thematic Mapper Plus (ETM+) and digital elevation models (DEM). Random forests are similar to classification and regression trees (CART). However, RF is doubly random. Many (e.g., 500) weak trees are grown (trained) independently because each tree is trained with a new randomly …
Evapotranspiration Of Kentucky Bluegrass, Lynda L. Fenton
Evapotranspiration Of Kentucky Bluegrass, Lynda L. Fenton
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Rapid population growth in arid regions of the western US is placing increased demand on water resources. Variability in precipitation and common occurrence of drought have promoted scrutiny of water use in urban lawns and gardens. However, few reliable measurements of water use of these landscapes exist. Quantifying the amount of water used vs. required by landscapes such as turfgrass would allow significant water conservation. Evapotranspiration (ET) is affected by biophysical factors such as: available energy, turbulent mixing, saturation deficit, soil water, and stomatal conductance. In order to simulate the water use by turfgrass, the relative importance of these processes …