SFR406 - 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 a wide array of 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 GIS and other image processing software, including developing and analyzing vegetation indices, land cover classifications, forest change maps and three-dimensional point clouds. Prerequisites: MAT 122 or SFR 208; SFR 400 or GIS equivalent.

Course Offered: Annually (Fall Term).

Lecture Period: Tuesdays & Thursdays: 11:00 AM – 11:50 AM (235/245 Nutting Hall)

Lab Period: Thursdays 12:00 PM – 2:00 PM (235/245 Nutting Hall)

Instructor: Dan Hayes


Office Hours: Open or by appointment (Nutting Hall, Room 233)

On-line resources:

Fall Term 2019 Syllabus (PDF)

Course Schedule with links to course material

Documents and data sharing via the Course Folder on the UMaine Box App

Remote Sensing Tutorial (Natural Resources Canada)