Price : 500 EGP

Remote Sensing Image Acquisition and Analysis using Python

Course Description:

This course introduces the fundamentals of remote sensing image acquisition and analysis using Python. Topics covered include:

Image formation and characteristics

Image acquisition systems

Image preprocessing

Image segmentation

Feature extraction

Image classification

Image restoration

Image compression

Course Objectives:

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

Understand the fundamentals of remote sensing

Apply Image processing techniques on remote sensing data using Python.

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


Basic programming skills


Linear algebra


Python for Remote Sensing by M. Dorigo and M. Remondino.

Remote Sensing with Python Programming by A. Zomer.

Course Outline:

Module 1:  Introduction to remote sensing

Module 2: Image formation and characteristics

Module 3:  Image acquisition systems

Module 4: Image preprocessing

Module 5: Image segmentation

Module 6: Feature extraction

Module 7: Image classification

Module 8: Image restoration

Module 9: Image compression

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)


The course content and duration can be customized according to the specific requirements and level of expertise of the target audience.

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