● Prerequisites:
○ Basic knowledge of computer science.
○ Some familiarity with GIS software.
● Required Software:
○ ERDAS Imagine 9.3 or higher.
● Textbooks:
○ Remote Sensing with ERDAS Imagine 9.3, by Paul M. Mather.
○ ERDAS Imagine User's Guide, by Harris Geospatial Solutions.
● Course Outline:
○ Module 1: Introduction to remote sensing
○ Module 2: Image processing
○ Module 3: Classification
○ Module 4: Change detection
○ Module 5: Case studies
● Course Delivery Method:
○ Lectures: Interactive lectures delivered by experienced remote sensing professionals and experts through presentations, videos, and demonstrations.
○ Homework Assignments: There will be three homework assignments throughout the course. The homework assignments will be graded on correctness and completeness.
○ Project: The project will involve applying machine learning to a remote sensing problem. Students will work in groups of two or three to complete the project. The project will be graded on creativity, originality, and technical quality.
○ Q&A Sessions: Regular question and answer sessions to clarify doubts and address participants' queries related to the course content and practical exercises.
● Course Duration:
4 weeks (can be adjusted as per requirements)
● Note:
The course content and duration can be customized according to the specific requirements and level of expertise of the target audience.