GPHY 426 — Remote Sensing: 3 Credits (1 Lec, 2 Lab)
(Sp) This course will cover the fundamentals of remote sensing for the natural sciences, including theory and physical principles of radiometry, data acquisition by active and passive sensors, and basic processing and analysis methods. Students will learn which remote sensing data are useful for investigating questions related to vegetation and soil science, geologic mapping, animal movement and behavior, and other topics, and how to query relevant data repositories. Students will learn basic data processing, including radiometric, geometric, and atmospheric processing, and data analysis, including classification and regression. There is no prior coding experience required for this course. Labs will be conducted using open-source and commercial platforms, including Google Earth Engine, ENVI, and ArcGIS Pro
Prerequisites: GPHY 284