This lab exercise introduces students to unsupervised image classification using the k-Means and modified k-Means classification algorithms. Students will also learn about the use of band ratios to enhance classification accuracy by reducing scene variation in illumination due to topography.

The following materials, combined with your textbook, can be used as background materials and to help in answering the assignment questions.

• Lindsay, J.B. 2019. The WhiteboxTools User Manual

IMPORTANT INFORMATION: You will need to download a fresh copy of the latest version of the WhiteboxTools library before you begin this assignment. Changes have been made to the library since you completed Lab 2 and use of an older version will likely result in incorrect results. In addition, you will need to download the data associated with this lab assignment from the GEOG*3420 CourseLink site. These data, as usual, are quite large and you will need to consider data storage solutions (e.g. a dedicated USB memory stick for the course).

You will hand in a printed report summarizing the answer to each of the questions in the following exercise along with the necessary colour images. Notice that you will need to have paid your lab fee to have printing privileges in the Hutt building computer labs.