Anthony Guay – Courses

SFR 106 – Introduction to Forest Land Navigation and Technology, Syllabus

 A hands-on, in the field introduction to the basics of working with forest land navigation and technology. This course stresses the use of topographic maps and imagery commonly used by natural resource professionals, and how to use them in conjunction with compasses, recreational-grade GPS receivers, and smartphone/ tablet applications. Use of computers and software to manage, analyze, and use data are covered, such as basic skills in Excel and ArcGIS.

Prerequisites: SFR 101 or Permission
Course Typically Offered: Fall
Credits: 2
 

SFR 400 – Applied Geographic Information Systems, Syllabus

 An introduction to the methods and processes for the application of geographic information systems to natural resource management.  Emphasis is placed on project planning and hands-on experience in systems operation.  Course may include fieldwork outside of the course’s scheduled times.

Prerequisites: MAT  116 or MAT 122 or a passing score on UM Math Placement Exam #3.
Course Typically Offered: Fall and Spring
Credits: 4
 

SFR 406 – Remote Sensing of the Forest Environment, Syllabus

 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 air photo 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
 

INT 527 – Integration of GIS and Remote Sensing Data Analysis in Natural Resource Applications, Syllabus

 Analysis of satellite imagery and GIS databases including applications of raster and vector models, land cover analysis and forest change detection, wildlife habitat analysis, hydrological assessment, and landscape characterization.

Course Typically Offered: Spring
Credits: 3