REMOTE SENSING DIGITAL IMAGE PROCESSING
Techniques of enhancement and quantification of remote sensing imagery. Emphasis on processing and analyzing data gathered by airborne and satellite sensors. Techniques to quantitatively analyze data from photography, electro-optical scanners, satellite systems, and radar and passive microwave systems. Applications to: agriculture and forestry, geology and soils, water quality, and urban and regional planning.
Prerequisites & course information
Requisites: LAND ARC/ENVIR ST/G L E/GEOG/GEOSCI 371 , graduate/professional standing, or member of Engineering Guest Students (or FW ECOL 371 prior to Summer 2026) Course Designation: Core GenEd - Natural Science & Wellness + Lab Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026
Sources
Catalogue variants
- REMOTE SENSING DIGITAL IMAGE PROCESSING · 3 credits.