GEOG 362 - Remote Sensing of the Environment

Remote Sensing of the Environment is designed to introduce the student to the theory and application of digital imagery data in geographical research. It emphasizes fundamental remote sensing concepts and utilizes remotely sensed data for analyzing human-environmental issues such as deforestation, reforestation, urban expansion, or any other change in land surface across space or time. The different sensors used to collect this information and the interpretation techniques vary quite widely and are being developed at an astounding rate. In this course, the focus is on the interpretation and applications of data from spaceborne imaging systems (e.g. Landsat, Landsat, MODIS, Sentinel-2). The course consists of lecture periods to provide a comprehensive understanding of concepts, labs that take you through the major mapping and analysis methods using the software Erdas Imagine, and small student projects. A basic understanding of geographic data is necessary to take this class. Students can satisfy this requirement by completing Geog 225 (or similar) or by completing an asynchronous module provided by the instructor through Moodle prior to the beginning of class. Prerequisite(s): GEOG 225 or permission of instructor. Offered every year. (4 Credits)