FNRM 5412: Advanced Remote Sensing and Geospatial Analysis

This course builds on the introductory remote sensing class, FNRM 3262/5262. It provides a detailed treatment of advanced remote sensing and geospatial theory and methods including biophysics of remote sensing, measurements and sensors, data transforms, data fusion, lidar processing and derivatives, advanced classification algorithms (including Object-Based Image Analysis), multitemporal analysis, and empirical modeling. Independent lab activities will be used to apply the course topics to real-world problems. Prior coursework in Geographic Information Systems, remote sensing, and statistics is necessary. prereq: 3262 or grad student or instr consent

All Instructors

A- Average (3.556)Most Common: A (80%)

This total also includes data from semesters with unknown instructors.

10 students
  • 4.50


  • 4.46


  • 4.38


  • 4.45


  • 4.31



      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2023 provided by the Office of Institutional Data and Research

      Privacy Policy