A final project forms a significant component of this course. To complete the project will require you to use IDRISI in order to conduct an image classification using the skills and knowledge you have gained throughout the course.

A complete project description can be found here. The marking scheme that will be used in marking your project can be found here.

We will provide the data to you-- images covering portions of urban areas, an agricultural area, and another image from an area suitable for a resource analysis. The data will be available from the Departmental server at the usual location (G:\courses\data\IDRISI_labs\project).

NOTE: When performing either an unsupervised or a supervised classification you should use ALL of the available layers, even though in the labs you used only a subset of the available layers. For example, when producing a supervised classification using SPOT data, you should use all 4 layers in your classifications, and when classifying Landsat data you should use all available layers in your classifications (Cluster, Isocluster, [e.g.] Maxlike).

NOTE: Bands in the SPOT images (as provided by GeoBase) appear to have been mislabeled. Although this mislabeling will not affect the classification results, it does make generating a false colour image problematic. In order to generate a false colour image as 'expected' you need to renumber the bands as follows:

Please do not save these folders / files to your home drive on H: without zipping them first.

Due date: Friday, April 12^th, in the main office by noon.

Marks: 20% of your final mark; late penalty, 1% per day, weekend counts as 1 day.

A resource that provides links to sites that can provide free satellite imagery. For example, from here you can search for and download Landsat data, most of it for free (Google's Earth Engine). SPOT imagery can be obtained from GeoBase, and this in this document they describe how they processed the files.