Satellite Remote Sensing Data Bootcamp With Opensource Tools (Udemy.com)

it is good for very briefly showing a variety of tools that can be used to process and visualize remote sensing data. it is not easy to follow along because she skips over key steps such as the importing files into the tools (for GRass gis there is a projection step). Also I could not get the SCP plugin tool to import data from the web, this kind of obstacle is to be expected with open source tools. But it was frustrating to have to spend hours trying to debug, unsuccesfully.

The course contains valuable and important information about analyzing satellite remote sensing data. It has vast potential for practical usage. The instructor has impressive knowledge about the subject and her delivery is forceful and full of clarity.

It is a hands-on course for me. The course will add to the quality of my work to a great extent as it contains useful information relating to my project.. The instructor has brilliantly explained various aspects of the concepts in her lectures.

The course is a source of important contribution to my work. I find it most useful and will be positively using the concepts in my work. The instructor is very knowledgeable about the concepts of the course and her delivery is engaging.

A very interesting and informative course. I only recently started working with satellite data, and wanted to go into more detail on image processing and more sophisticated analyses. The instructor is very knowledgeable with a great understanding of the various free tools and data sources for doing this type of work - the demonstration of ESA SNAP is great and I would be interested in seeing more of this software in the future. I will probably need to work through the course again once I have some images and projects of my own. There are some very helpful workflow diagrams that provide a good structure to working with satellite data, particularly for a fairly new entrant to this topic. The possibilities are endless, but the course has helped a lot in providing a better understanding of how to get started and the important steps to take. The machine learning is very interesting - never tried this method on any data, so it is helpful introduction in how it works. Very good course!

The delivery of the lecture is a little stilted. Previous courses seem to have a more practiced feel. It is good to see the pitfalls of some of the methods (like the download of LandSat directly into QGIS) but I do not think that it was worth the time. Maybe just a statement at the end of lecture 11 or 12 stating the problems that may occur. There seems to be a disconnect between data sets used in demonstrations within lectures and data sets that are available in the drop box.

I really enjoyed that this course covers a lot of ground. I learned a lot. Also the instructor is very responsive to questions, and almost always her answers are helpfull. What I missed though was a more thorough explanation of why we use certain techniques or software instead of others. Also, I find it a pity there are no handouts available. If I remember I learned something here. I have to rewatch the video instead of skimming through the pages of the handouts. The theory parts could have been larger. I enjoyed those. The explanations of how to do things were (for me) to much like: "Then you click here, and then you click here, and then here. And voila. There's your picture."

you want to learn a lot but you don't spent a lot of time... :) you must watch. great class... Thank you so much Minerva Singh. and thank you Oktay Caglar, Eren Bali, Gagan Biyani, Kevin Johnson and Udmy personels... :)

Short lectures & practicals which are good to ensure the attention of the audience is still there. The lecturer is well informed about her subject. Great course for anyone who wants to learn Remote Sensing using Open Source software.

Excellent course, for a very specific domain. There isn't any other course that is like this one. Minerva does an excellent job for us geospatials via the udemy platform, for example i see now that GRASS is an amazing open source tool with many functionalities.