SFR 406

Remote Sensing
of the
Forest Environment

Spring Term, 2018

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 ArcGIS, including vegetation indices, forest classifications, land cover change maps and three-dimensional point clouds. Prerequisites: MAT 122 or SFR 208; Course Typically Offered: Every year, Spring term.

Lecture Period:  Tuesdays & Thursdays: 11:00 AM – 12:15 PM (235/245 Nutting Hall)

Lab Periods:        Thursdays: 1:00 – 2:50 PM or 3:00 – 4:50 PM (254 Nutting Hall)

Instructor:    Daniel Hayes                                      Email: daniel.j.hayes@maine.edu

Phone #         581-2863                                           Office: Nutting Hall, Room 233

Office Hours:                        Open or by appointment

On-line resources:

Spring Term 2018 Syllabus (PDF)

Course Schedule with links to course material

Documents and data sharing via the Course Folder on Google Drive

Remote Sensing Tutorial (Natural Resources Canada)