— Proximal & Remote Sensing of Plants
Quantitative approaches for collecting, analyzing and interpreting remote sensing data at scales from the leaf to the satellite in plant sciences research. Hands-on experience collecting, processing, and analyzing leaf and canopy-level remote sensing data.
Prerequisites & course information
Course Description: Quantitative approaches for collecting, analyzing and interpreting remote sensing data at scales from the leaf to the satellite in plant sciences research. Hands-on experience collecting, processing, and analyzing leaf and canopy-level remote sensing data. Learning Activities: Lecture 1 hour(s); Laboratory 3 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE). Learning Activities: Lecture 1 hour(s); Laboratory 3 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE).
Sources
- Course catalogue ↗2026-2027