This is an undergraduate and graduate course that introduces soil forming factors, soil processes, soil classification, USDA Soil Taxonomy and the 12 soil orders, soil survey, and soil mapping. It teaches how to read the landscape and understand soil-landscape relationships. It includes field trips to various places in Corvallis on soil digging/augering, describing soils in the field, and using maps and iPads to read the landscape.

R is an open-source programming platform for data analysis, numerical modeling, and graphing. This course teaches undergraduate and graduate students with zero programming background on how to use various R packages for analyzing and processing soil and environmental data collected from a variety of in-situ, ground-based, and remote sensing sensor platforms. It provides detailed examples of using R software for soil and environmental data processing, modeling, and graphing. I helped to start this new course in our department, prepared lecture slides and R code from my own research and publications, taught several lectures, and co-organized field trips. (Co-instructor, Fall 2020, University of Wisconsin-Madison)

This is a one-day workshop that teaches soil profile image analysis, including basic operations on images, extractign color information and color model conversions, numeric modeling and clustering. I co-organized this workshop and taught a 2-hr session on soil profile image analysis using R software. (Co-organizer, Summer 2017, Pedometrics, Wageningen)