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Sinclair College

AVT 1121 Multispectral & Hyperspectral Data Analysis

Introduces the foundations of multispectral and hyperspectral data analysis. Students will acquire knowledge of the characteristics of multispectral and hyperspectral sensors, data, and remote sensing applications applicable to civil unmanned aerial system operations. Emphasis is placed on data processing. One classroom, two lab hours per week.

Prerequisites: Other (Competency-Based Education (CBE) prerequisite training and approval to register if offered in the CBE format.)

Course Outcomes
  • Analyze a variety of multispectral and hyperspectral data.
  • Evaluate multispectral and hyperspectral data analysis products.
  • Create a portfolio of multispectral and hyperspectral data analysis products.
Credit Hours: 2
  • Classroom: 1 hour
  • Lab: 2 hours
  • Division: Science, Mathematics and Engineering
  • Department: Aviation Technology
  • Repeatable Credit: No
  • Offered Online: Yes
Available Sections
Face to Face
Downtown Dayton Campus
Bldg 13, Rm 121
Faculty: Newlin
Term: Spring 2024
Format: Course meets in person on scheduled days and times.
Open Seats: 20
Meets: TH from 6:00PM to 8:40PM
Section: N01
Open Seats: 20
Meets: TH from
6:00PM to 8:40PM
Section: N01