Soil Hydraulic Properties

We employed standard Digital Soil Modelling (DSM) (McBratney et. al., 2002) methods utilising publicly available soil observation data and publicly available environmental covariate data in an environmental correlation approach using machine learning to map the soil properties of volumetric drained upper limit and soil lower limit across the entire GRDC region at 6 standard depths at 30m pixel resolution. Figure 1 depicts the DSM workflow used in his analysis. All data management and modelling were performed in the R programming language and these scripts are available at https://github.com/AusSoilsDSM/SLGA/tree/master/SLGA/Development/Ross/Scripts/AWC