Researchers developed a custom model that integrates gSSURGO soil property data with condensed climate data from PRISM (e.g., drought index) to predict fraction of available water for a given soil. The model was trained with in situ measured soil moisture data (point measurements) and expanded to spatial extent with gSSURGO maps and PRISM data. The code for the model was developed using a combination of statistical and GIS languages (R, Matlab, ArcGIS, etc.).
Summary
Researchers developed a custom model that integrates gSSURGO soil property data with condensed climate data from PRISM (e.g., drought index) to predict fraction of available water for a given soil. The model was trained with in situ measured soil moisture data (point measurements) and expanded to spatial extent with gSSURGO maps and PRISM data. The code for the model was developed using a combination of statistical and GIS languages (R, Matlab, ArcGIS, etc.).