Remote Sensing for Earth and Environmental Science
This course is an introduction to remote sensing. Often this is in the form of digital imagery acquired by aircraft or satellites, but a variety of other types of remote sensing exist. The course provides an overview of the physical science principles involved in remote sensing, the instruments and platforms used to collect data, and the analysis of the acquired information. Topics include data acquisition and pre-processing, image enhancement, data classification, and visualization. The emphasis is on pixel-based raster spectral data (such as satellite or drone imagery) and other types, such as lidar, radar, and structure-from-motion (SfM) are also addressed in lectures and lab exercises.
Topics
- data acquisition and pre-processing
- image enhancement
- data classification
- and visualization
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027