Saturated Hydraulic Conductivity Pedotransfer Models
Data files
Aug 16, 2019 version files 4.12 GB
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fGBM_30.rds
179.81 MB
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fGBM_31.rds
97.05 MB
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fGBM_32.rds
180.50 MB
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fGBM_70.rds
119.94 MB
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fGBM_71.rds
130.68 MB
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fGBM_72.rds
128.17 MB
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RF_30.rds
402.67 MB
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RF_31.rds
550.70 MB
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RF_32.rds
573.21 MB
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RF_70.rds
566.21 MB
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RF_71.rds
593.65 MB
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RF_72.rds
599.20 MB
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scaling_means
199 B
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scaling_sds
199 B
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USKSAT_preProc.rds
794 B
Abstract
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).