In contrast to many institutions, remote sensing and GIS are not new areas of instruction at the University of Minnesota. What began in 1949 as a single course in aerial photography interpretation for forestry students has evolved into a series of courses for a multi-disciplinary audience. Today, students from agriculture, ecology, forestry, landscape architecture, geography and other majors enroll in courses in remote sensing and GIS. Courses taught by the Department of Forest Resources faculty and staff are listed below. Students are also encouraged to explore other geospatial courses (e.g. U-Spatial and NRSM ) at the University of Minnesota.

Remote Sensing Courses

FNRM 3262/5262. Introductory Remote Sensing and Geospatial Analysis (3 credits)
Principles and techniques of remote sensing and its applications to mapping and monitoring environmental, land and water resources from local to global scales. Lab provides hands-on experience working with aerial photography and digital sensing imagery.

FNRM 5412. Advanced Remote Sensing and Geospatial Analysis (3 credits)
Physical basis and practical applications of digital remote sensing. Energy-matter interactions. Measurements and sensors. Digital image processing/analysis. Experience working with remote sensing data, image processing and models.

FNRM 4515/5615. Field Remote Sensing and Resource Survey (2 credits)
Field applications of remote sensing, sampling/measurement methods to inventory/mapping for forest and other natural resources. Offered at Cloquet Forestry Center.

GIS Courses

Full descriptions of GIS courses can be found here

ESPM 3031/5031. Applied GPS for GIS (2 credits)
This course covers the principles and fundamentals of GPS and the use of GPS units in the field. An introductory course in GIS is recommended. The course meets once each week for 2 hours. Additional time is required to complete field exercises.

FNRM 3131/5131. Geographical Information Systems for Natural Resource Analysis (4 credits)
Introduction to GIS. Focuses on natural resources. Data structures, sources, collection, and quality. Lab exercises introduce geodesy, map projections, spatial analysis, and cartographic modeling.

ESPM 4295W/5295. GIS in Environmental Science and Management (4 credits)
Application of spatial data inventory/analysis in complex environmental planning problems. Spatial data collection, database development methods, including GPS, DLG, TIGER, and NWI data, and spatial analysis.

Independent Study

FNRM 8205. Research Problems: Spatial Data Analysis. (1-5 credits)
Independent research on GIS or remote sensing under faculty guidance. 

Education & Outreach