FNRM3462
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FNRM 3462 - Advanced Remote Sensing and Geospatial Analysis (3 Cr.)
Course description
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 Object-Based Image Analysis (OBIA), lidar processing and derivatives, advanced classification algorithms (including Random Forest, Neural Networks, Support Vector Machines), biophysics of remote sensing, measurements and sensors, data transforms, data fusion, multi-temporal analysis, and empirical modeling. In-class and 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: FNRM 3262/5262 or instr consent
prereq: FNRM 3262/5262 or instr consent
Minimum credits
3
Maximum credits
3
Is this course repeatable?
No
Grading basis
OPT - Student Option
Lecture
Credit will not be granted if credit has been received for:
02660
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Spring