Earth Observing

Three credits · Undergraduate

An introduction to the methods of acquiring, processing, and mapping spatial data for the study of natural processes or human factors. This practical hands-on course covers: satellite and airborne (including by Unmanned Aerial Vehicle or UAV) remote sensing applications and imagery; geographic positioning systems and techniques; computational and data processing tools, with an emphasis on cloud-based platforms for big data analysis (e.g. Google Earth Engine); and mapping using Geographic Information Systems (GIS). Prerequisite: EESC 265 or CSCI 161. Three credits plus hands-on laboratory component involving field and in-class assignments.