Remote Sensing & Photo Interpretation, Mod9: Unsupervised Classification

This week we used both ArcMap and ERDAS to perform an unsupervised reclassification of a provided image.  The image we used for our final map, was of the UWF campus.  The ultimate outcome of this map was to determine what percent of surfaces is permeable and what percent is impermeable.  We originally reclassified to 50 different classes and then worked with a specific area in the image to break it down to 5 categories: Trees, Grass, Buildings/Roads, Shadows and Mixed.  After the classification was complete, the final map product was produced in ArcMap.

Unsupervised Classification of the UWF campus.  Area shown in acres with the estimate that about 58% is
permeable while the remaining 42% is impermeable.