SFR 406 - Remote Sensing of the Forest Environment

In this course, students will learn the key concepts and rationale underlying the acquisition, interpretation, processing and presentation of remote sensing imagery for forestry and natural resources applications. Students are introduced to remote sensing technology, methods and applications including airphoto interpretation; digital photogrammetry; satellite image analysis; and LIDAR forest inventory. With an emphasis on hands-on demonstrations and laboratory exercises, students will gain proficiency in working with digital imagery and other geospatial data using ArcGIS, including vegetation indices, forest classifications, land cover change maps and three-dimensional point clouds.

Prerequisites: SFR 400 or permission; SFR 100, PSE 100, or BIO 200 recommended but not required.

Course Typically Offered: Fall

Credits: 3