My teaching contributions at UC Davis emphasize the connection between physical principles, modern instrumentation, geospatial data, and reproducible analysis.
Lectures and laboratory instruction on development of single and dual crop-coefficient curves, use of SIMDualKc, Landsat data retrieval, and evapotranspiration estimation with energy-balance workflows.
Lecture on eddy covariance theory and instrumentation followed by a hands-on laboratory session focused on flux data processing and modeling.
Three laboratory sessions covering differential GPS field data collection, ArcGIS and R processing, and spatial interpolation for a large undergraduate cohort.
Three two-hour lectures on eddy covariance ET estimation, remote-sensing-based ET mapping, SEBAL/TSEB approaches, and comparison of measurement and modeling methods.
Two graduate lectures and a practical survey on soil mapping with electrical resistivity tomography and electromagnetic methods, followed by laboratory processing and interpretation.
I emphasize complete scientific workflows: understanding the physical process, collecting high-quality measurements, processing data transparently, evaluating uncertainty, and translating results into defensible conclusions.