Remote Sensing Image Acquisition, Analysis and Applications

Welcome to Remote Sensing Image Acquisition, Analysis and Applications, in which we explore the nature of imaging the earth’s surface from space or from airborne vehicles.This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning.

It assumes no prior knowledge of remote sensing but develops the material to a depth comparable to a senior undergraduate course in remote sensing and image analysis. That requires the use of the mathematics of vector and matrix algebra, and statistics. It is recognised that not all participants will have that background so summaries and hand worked examples are included to illustrate all important material.

The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. It will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.

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Syllabus

Syllabus - What you will learn from this course
Week 1
Course Welcome, Instructor, Course Resources, Module 1 Introduction and Week 1 Lectures and Quiz
Remote sensing is the science and technology of acquiring images of the earth’s surface from spacecraft, aircraft and drones to aid in the monitoring and management of the natural and built environments. Extensive computer-based analysis techniques are used to extract information from the recorded images in support of applications ranging over many earth and information science disciplines. This course covers the fundamental nature of remote sensing and the platforms and sensor types used. It also provides an in-depth treatment of the computational algorithms employed in image understanding, ranging from the earliest historically important techniques to more recent approaches based on deep learning. The course material is extensively illustrated by examples and commentary on the how the technology is applied in practice. While broad in its coverage the 15 hours of instruction, supported by quizzes and tests, will prepare participants to use the material in their own disciplines and to undertake more detailed study in remote sensing and related topics.
Week 2
Week 2 Lectures and Quiz
Week 3
Week 3 Lectures and Quiz
Week 4
Week 4 Lectures and Quiz
Week 5
Week 5 Lectures and Quiz, Module 1 Test

Week 6
Module 2 Introduction, Week 6 lectures and Quiz

Week 7
Week 7 Lectures and Quiz
Week 8
Week 8 Lectures and Quiz
Week 9
Week 9 Lectures and Quiz
Week 10
Week 10 Lectures and Quiz, Module 2 Test

Week 11
Module 3 Introduction, Week 11 Lectures and Quiz

Week 12
Week 12 Lectures and Quiz
Week 13
Week 13 Lectures and Quiz
Week 14
Week 14 Lectures and Quiz
Week 15
Week 15 Lectures and Quiz, Module 3 Test, Course Conclusion

FAQ

When will I have access to the lectures and assignments?

Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

What will I get if I purchase the Certificate?

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Reviews

The course should add practice exercise for gaining more understanding to the course

Really enjoyed the learning experience and was very concise!

This is a great course for inisiation in the remote sensing field of study.

Great introduction on the topic of remote sensing! However I think certain topcis are over emphasized.