Supervised Classification

Photo Interpretation and Remote Sensing - Mod 10

This week we created a land use map of Germantown, Maryland using Supervised Classification tools in Erdas.  Training sites were created using a combination of polygons and the Growing Properties tool.  With these tools, features were selected and defined so an algorithm would know what class to assign to each pixel.  We started by defining 14 classes, then merged them down to 8 using the Recode tool.    Once that was done a Class Name column was added and the classes renamed, then an area column was added to the attribute table to calculate the area covered by each class.  To finish the map off it was added to ArcMap and symbolized appropriately.