||ES 775 Advanced|
James S. Aber
Advanced techniques of image processing and analysis for remotely sensed digital data. Topics include radiometric correction, geometric correction, atmospheric and ground effects, image enhancement, spectral analysis, classification, and change detection. Interdisciplinary applications in earth resources and environmental conditions; practical exercises based on satellite datasets and other forms of remotely sensed data. Course is designed for advanced students in the geospatial analysis program.
All course curriculum is presented via this webpage.
Canvas is not used for this course.
This course is intended to build upon content from ES 771 Remote Sensing, in which many concepts of satellite image processing are covered at fundamental levels. These concepts are elaborated with an emphasis on practical exercises based on actual datasets and field information. The course combines state-of-the-art computer hardware and software for the analysis of satellite data derived from NASA's Mission to Planet Earth program, as well as commercial satellite data. An integration of physical, biological, and cultural (human) processes is stressed for understanding and interpreting satellite imagery of the Earth's surficial environment.
- Instructor: James S. Aber, Earth Science, Science Hall 119A (email@example.com).
- Prerequisite: ES 771 Remote Sensing, or consent of instructor.
- GSA lab graduate teaching assistant: Alan Peterson.
- Textbook: Introductory digital image processing: A remote sensing perspective by Jensen, Prentice Hall Series in Geographic Information Science (4th ed, 2016). See book description.
- Image-processing software: Idrisi is the most widely licensed raster-based GIS software in the world. It combines ease of use and low cost with surprisingly powerful analytical and image-processing capabilities. Idrisi is well suited for teaching and research based on remotely sensed datasets.
This course will be taught in spring semester 2017. Regular (on-campus) students should enroll through normal procedures. The course is also available for distance learning from Emporia State University. Off-campus students should enroll through the office of Distance Education (ES 775 XA). In order to receive university credit, students must be officially enrolled and must be in contact with the instructor for course materials and directions. This course is required for the graduate certificate in geospatial analysis.
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This course is presented by the Earth Science department for the express use and benefit of students enrolled at Emporia State University. Anyone else may view and enjoy the information here. All course curriculum © by the author.
Please send your comments to the course instructor
J.S. Aber, e-mail: firstname.lastname@example.org
Last update: October 2016.