Course Description
Principles and hands-on techniques for processing and analyzing remotely sensed data for natural resource applications. Topics include review of the electromagnetic spectrum, pre-processing (georectification, enhancements and transformations), processing (visual interpretation, indices, supervised and unsupervised classification) and post-processing (masking, change analysis and accuracy assessment) of digital image data. This course will provide students with fundamental concepts and skills needed to pursue further studies in digital processing of remotely sensed data.
DE Program
Geographic Information Systems
SPRG 2020
Instructors
Classes Start:
January 6, 2020
Classes End:
April 23, 2020
Distance Education:
Yes
Class Type:
Lecture
Credits:
3.00
Delivery Method:
Internet
Restrictions:
Distance-track student with grad standing in 15GISPFZMR, 15GISGIZMR, 15GISZCTG
