Developing a Soil Property Database for the Oklahoma Mesonet
Abstract
The objective of this study was to create a comprehensive database of soil hydraulic and physical properties of the Oklahoma Mesonet station soils. Replicate soil cores were collected at 117 Mesonet stations. The artificial neural network model Rosetta was used to estimate the van Genuchten water retention curve parameters, replacing the Arya and Paris estimated parameters.
Collections
- OSU Theses [15752]