Web-based Remote Sensing Applications

2024-01-15

● Course Description:

This course introduces the fundamentals of web-based remote sensing applications. Topics covered include:

● Web-based remote sensing technologies

● Web mapping services

● Web-based image processing

● Web-based data visualization

● Web-based remote sensing applications

● Course Objectives:

Upon completion of this course, students will be able to:

○ Understand the fundamentals of remote sensing

○ Understand the fundamentals of Web Programming

○ Emphasize hands-on experience with web-based remote sensing tools and platforms.

○ Communicate the results of remote sensing analysis to a variety of audiences

● Prerequisites:

○ Basic knowledge of remote sensing

○ Basic knowledge of web development

● Textbooks:

○ Web-based Remote Sensing by M. Dorigo and M. Remondino

○ Remote Sensing with Open Source Tools by M. C. Dobson

● Course Outline:

○ Module 1:  Introduction to web-based remote sensing

○ Module 2:  Web-based remote sensing technologies

○ Module 3:  Web mapping services

○ Module 4:  Web-based image processing

○ Module 5:  Web-based data visualization

○ Module 6:  Web-based remote sensing applications

○ Module 7:  Web-based remote sensing project

● 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.