Remote sensing (including satellite imagery, aerial imagery and their many derived maps and information) comprises one of the most important body of spatial data & methods in both geographic information systems (GIS) and environmental sciences. In this course, students will learn the theory, sensors, analysis methods, and uses of remote sensing data in environmental research and applications. Lecture periods provide a comprehensive introduction to remote sensing theory, as well as instructor and student-led case studies on applications of remote sensing in your areas of interest. Labs take you through the major mapping and analysis methods, through hands-on use of the latest ERDAS IMAGINE, Google Earth Engine (GEE), and ArcGIS software, and with multiple types of remote sensing imagery and other GIS data. Prereqs: none, graduate standing or junior/senior.