Saturated Hydraulic Conductivity Pedotransfer Models

Samuel N. Araya & Teamrat A. Ghezzehei
This repository contains machine learning-based pedotransfer models that predict saturated hydraulic conductivity (Ks). An app with a graphical user interface to run these models and other relevant materials including R codes used to build and test the models are available at the author's GitHub repository: https://github.com/saraya209/soil_ksat. Detailed description of this work is available in our paper published in the Journal of Water Resources Research: Araya and Ghezzehei (2019).
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13 downloads reported since publication in 2019.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?