par Frank L•
Well explained - but I already have an image processing background. Providing a bibliography/list of references at the introduction of each lecture could be helpful (as in reading ahead of the lecture).
par Francesco R•
Very difficult to follow. Material is very technical and the lecturer simply reads from the slides. The volume of the recording is very low as well.
par Anze M•
This course provides a good base upon which you can build your remote sensing knowledge. It helps if you already have a background in CS or maths (preferably a degree in one of those two fields). Starting in the second third of the course, the lectures fluctuate between very easy going to profound mathematics. Don't be fooled by the week time needed estimations - following this estimations you will get just a basic understanding, which will be enough to complete the quizzes, but for a better understanding of lecture material, be prepared to invest 2x the estimated time.
par Susanne R•
In my opinion, this course was a bit too mathematical and monotonous, the professor for sure knows what he is talking about but after having finished the course, I am missing a few more examples of how to use the concepts in practice / with a software.
par Dario V•
The course comprehensively covers the domains of remote sensing and associated machine learning techniques and has aided me significantly in putting those techniques in practice for my startup endeavor.
Professor Richards is an amazing lecturer and the classes are very well structured and presented.
par Mary R L•
The quizzes are difficult for me. Im just relieved that theres no computations in the quizzes. But i learned a lot. Theres a lots of technical stuff so theres a need to read more about the weekly lectures.
par Ghada S•
A bit challenging but very insightful!
par Mohd A b A•
I learn more about remote sensing.
par King V•
The course should add practice exercise for gaining more understanding to the course
par Haritha H P•
Though the course is interesting, it would have been much better if the instructor was present while explaining the concepts which would give a classroom effect.
par Lenis G•
Excelente curso. Introduce los sensores remotos como herramientas en la interpretación de la superficie terrestre de acuerdo al área de aplicación, haciendo énfasis en la geología y la agricultura.
par Hrishil V•
Really enjoyed the learning experience and was very concise!
par Aik J R•
The course contents cover Remote Sensing but since the mentor is just like reading, just show the scripts, it's so boring. It will be better and perfect the practical exercises are added. And the course title should be changed to "Mathematical Calculations and Machine Learning in Remote Sensing". The beginner of Remote Sensing should not choose this course.
par Darcy J G•
Very difficult to understand in the online format.