Self-Paced Course on GIS, Remote Sensing, and Image Processing where not only theories of such geospatial techniques were introduced but also explained, with examples.
This course provides a complete introduction to :
The course has video lectures on the most relevant content of GIS, Remote Sensing, and Image Processing. As a self-paced certificate course, this course is designed to get you started quickly with these three geospatial concepts but finish at your own time and comfort.
Once you finish the video tutorials, you can practice with the example research problems and mock tests provided each weekend. These practical exercises will give you the opportunity to measure how much you have learned. The practicals will also help you to experiment with the basic interfaces and methodology of relevant software like MapWindow, Image J, etc.
The course is structured as a mixture of lectures, and quizzes and concludes with a project to put into practice all the knowledge you've gained during this course. The practical element is crucial and by all means, it gives you the scope to try some new things out with the various software involved.
You should take this course if you need to learn the basics of GIS, Remote Sensing, and Image Processing up to a level where you can solve problems by yourself.
Along with the lecture videos and with the help of practical problems you will get the knowledge required to be a part of a Professional GIS Team. There is also an opportunity to work on real-life problems and publish papers in reputed international journals and monographs also.
Course materials are completely online and accessible for 24 hours. Discussion or Doubt clearing sessions with the teacher is possible but only during the daylight hours as per Indian Standard Time.
1. Geographical Information System
1.2. Coordinate Systems
1.4. Table Editor/Attribute Table
1.5. Label Editor
1.6. Property Editor
1.1. Basic Terminologies
1.7. Data Representation
1.8. Image Registration/Georeferencing
2. Remote Sensing
2.3. Types of Images
3. Image Processing
3.1. Image and Photography
3.3. Spatial and Spectral Resolution
3.4. Spectral Reflectance Curve
3.5. Colour Infrared Images
Do let me know if you have any suggestions for improvements as I like to keep the course as up-to-date as possible.