Cubist ML at Sorenson farm This module builds directly on the Google Earth Engine Sentinel-2 and NAIP module by transforming downloaded remote sensing data into aligned covariate stacks for digital soil mapping. Demonstrates simple Cubist rule-based modeling, feature selection, validation, and map generation within a reproducible R-based workflow. View or Download on Box Go To…
Sentinel-2 and NAIP Downloads This module provides a hands-on introduction to acquiring high-resolution remote sensing data using Google Earth Engine (GEE) through Python integration in RStudio. Participants execute scripted workflows to download Sentinel-2 multispectral imagery and NAIP aerial photography, generating analysis-ready GeoTIFF datasets for digital soil mapping applications. The material emphasizes reproducible data pipelines, proper…
Palesols Field Trip – Lecture This lecture examines geologic provenance and paleosol development in Tama County, using field observations to interpret landscape evolution and soil formation processes. View or Download on Box
Sampling Design Demo – Lecture This lecture walks through a practical sampling design problem: you have one day in the field, limited landowner access, and an existing SOC stock model with spatially variable uncertainty. Using a cost raster that combines relative prediction intervals, access constraints, and an Area of Applicability (AOA) dissimilarity index, we generate…
Class Lecture In this lecture, we explore advanced strategies for quantifying and accounting for the spatial variability of soil organic carbon stocks within a digital soil mapping framework. Emphasis is placed on robust statistical methodologies, including model development, validation techniques, and uncertainty quantification, to ensure reliable and defensible spatial predictions across heterogeneous landscapes. View or…
A comprehensive overview of the Soil Survey Geographic (SSURGO) database- Lecture – Digital Ag and Data Science This lecture traces the development of soil survey in the United States and the evolution of soil science as a predictive framework. It focuses on how soil maps are built from field observations and landscape relationships, and how…
