This introductory remote sensing course provides an introduction to the physical principles of satellite remote sensing, and basic remote sensor data processing. In particular, the classification of images will entail applying selected vegetation indices, supervised pixel- and supervised object-based classification techniques to the provided image data sets; followed by verification of classification results by constructing an error assessment matrix. Furthermore, course will also cover various online remote sensor data archives where imagery of varying resolution characteristics can be obtained free of charge.

This course is ideal for Professionals, managers and scientists who have the desire to acquire knowledge and skills in executing the remote sensing process by extracting meaningful information from remotely sensed (i.e., satellite/aerial) multispectral imagery e.g., imagery acquisition, processing, analysis and reporting.

Participants must have a) basic statistics background, and b) worked with at least one GIS or Remote sensing software. The course costs R 7 500, runs over 3 days, and will be led by Dr Tsele. Access the course description on Enterprises UP.