Classes listed here are those associated with Dr. Seamon @ Baylor University, and provide an informal summary of information, topics, labs, and data. All formal class sites are hosted on Baylor’s Canvas system.
ENV 4386 – FALL 2026
Remote Sensing
ENV 4386 introduces students to the principles and applications of remote sensing in environmental science, with an emphasis on how electromagnetic energy interacts with the atmosphere and Earth’s surface to produce remotely sensed information. Using Emilio Chuvieco’s Fundamentals of Satellite Remote Sensing as a foundation, the course examines the physical basis of absorption, reflection, transmission, and emission; sensor platforms and image characteristics; and the interpretation of satellite and aerial data for studying land, water, vegetation, climate, and environmental change.
ENV 4487 – SPRING 2026
Advanced GIS Analysis
ENV 4487 is a joint class between Geosciences and Environmental Science, which will explore the principles and techniques for geospatial data collection, manipulation, modeling, visualization, and analysis. Emphasis on current raster modeling techniques, spatial statistical analysis methods, and using GIS as a predictive tool for environmental research. Students will be able to incorporate their existing research projects or other areas of interest into geospatial projects. Experience with R is a requirement.
ENV 1V9R-4V9R
Independent Study
ENV 1V9R, ENV 2V9R, ENV 3V9R and ENV 4V9R are undergraduate independent study courses for students working on the HACLab research team. Typically, the lower numbers are for underclassman, with the higher numbers for more advanced students. 3 hours per week (1 credit) are the minimum, with 6 hours per week (2 credits) the max. You must have Dr. Seamon’s approval to be enrolled.